Daily Tech Digest - June 12, 2019

IoT security vs. privacy: Which is a bigger issue?

ringvideodoorbellpro
Predictably, most of the teeth-gnashing has come on the consumer side, but that doesn’t mean enterprises users are immune to the issue. One the one hand, just like consumers, companies are vulnerable to their proprietary information being improperly shared and misused. More immediately, companies may face backlash from their own customers if they are seen as not properly guarding the data they collect via the IoT. Too often, in fact, enterprises shoot themselves in the foot on privacy issues, with practices that range from tone-deaf to exploitative to downright illegal—leading almost two-thirds (63%) of consumers to describe IoT data collection as “creepy,” while more than half (53%) “distrust connected devices to protect their privacy and handle information in a responsible manner.” ... Police in more than 50 cities and towns across the country are apparently offering free or discounted Ring doorbells, and sometimes requiring the recipients to share footage for use in investigations. Many privacy advocates are troubled by this degree of cooperation between police and Ring, but that’s only part of the problem. Last year, for example, Ring workers in Ukraine reportedly watched customer feeds. Amazingly, though, even that only scratches the surface of the privacy flaps surrounding Ring.



Researchers crack digital safe using HSM flaw


The researchers found that the firmware built into the module was signed, but not encrypted. This meant that they could analyze how it worked, and they found that it allowed them to upload and run additional custom code. They used the software development kit (SDK) provided with the HSM to upload a custom firmware module to the unit. This gave them access to a shell inside the HSM that they could use to run a debugger and analyze the inner workings of the unit. From there, they ran a fuzzer, which sends a lot of queries to the HSM’s PKCS #11 API. PKCS #11 is a cryptographic API created by RSA. They hit the API with a large number of parameters looking for data that might throw the HSM into an unstable state. These tests uncovered several buffer overflow error bugs that they could trigger by sending the HSM certain commands. The researchers were able to write a module that they could run as unsigned custom firmware on the HSM that enabled them to dump all its secrets. They could recover keys, read secrets directly from the HSM’s memory, and dump the contents of the module’s flash storage, including its decryption key.


Combine containers and serverless to optimize app environments


Serverless is a new and misleading label for an old concept: run applications or scripts on demand without provisioning the runtime infrastructure beforehand. SaaS apps, such as Google Docs, might be considered serverless; when users create a document, they don't have to provision the back-end system that runs the application. Serverless takes this concept to application code, which is abstracted from its various infrastructure services, such as storage, databases, machine learning systems and streaming data processing. Google Cloud emphasizes that serverless functions aren't limited to event-driven code execution, but rather include many of its IaaS and PaaS products that instantiate and terminate on demand and don't require prior setup. On cloud serverless platforms, like AWS Lambda and Azure Functions, functions run code in response to an event trigger, such as an event on a message queue or notification service, and are typically used for short-duration jobs that handle tasks such as data acquisition, filtering and transformation, application integration and user input.


Ensuring trust in an age of digital banking

First, the bank needs to be sustainable. That includes following a code of conduct: integrating sustainability risk in processes and strengthening policies and enabling transparent reporting, as well as conducting the work that prevents the bank from being used for different types of financial crime. This is our license to operate. Second, we develop financial services with positive climate impact as a response to our customers’ needs. We have a very proud 10-year history of offering green bonds. Last year we launched green mortgages. In January, we launched our first blue bond [for investing in marine conservation projects], and we also offer green car leasing. We are trying to cater to customer demand. We understand that people care about what they do with their money. We have a very ambitious plan to introduce more financial solutions that capture what every single individual cares about. Today there is a good array of different products and services with positive climate impact, but it is still too little to meet the growing demand.


Hybrid Development: The Value at the Intersection of TDD, DDD, and BDD

Test Driven Development
What is the best way to tackle a large development project? You break it down into smaller, more manageable segments, or in the case of DDD - domains. When you split the project into smaller domains, you can have segregated teams handle the functionality of that domain end-to-end. And to best understand those domains, you enlist the help of domain experts; someone that understands the problem and that realm of knowledge more than anyone else.  Typically, the domain expert is not the one who is responsible for developing the solution, rather, DDD collectively is used to help bridge the knowledge gap that usually exists between these experts and the solution that is trying to be realized. Through models, context, and ubiquitous language, all parties involved should have a clear understanding of what the particular problems are and how the ensuing build will be structured. ... As the complexity of your projects grow, the only way to maintain the viability of your build and ensure success is to have your development practices grow with it.


Reaping the benefits of a strong strategy-driven business analytics IQ

Analytics IQ is a measure of an organization’s ability to leverage analytics to support business and IT objectives. Many organizations start their analytics journey eagerly, but without a clear strategy. This approach often leads to failed pilot projects, which have not provided the needed insights to answer business questions. Let us take a step back and first focus on analytics. It is easier to understand analytics when you understand the process that data goes through to become actual, actionable intelligence, rather than unusable numbers and words. I like to think about it in terms of retail. The price of an item is just plain data. However, when we add additional indicators, e.g., the price is attached to a celebrity’s merchandise, and recently, that person was involved in a controversy — then this data becomes information, something of interest to us. The information can then be used to try and predict what will happen to the price of this merchandise in the following days. That is intelligence: When we add context to information, it becomes intelligence.


Triada backdoors were pre-installed on Android devices


The story of Triada began when Kaspersky Lab researchers discovered it in early 2016, and at that time the main purpose of the Android malware was "to install spam apps on a device that displays ads," according to Google. Last week, Lukasz Siewierski, a reverse engineer on the Android security and privacy team at Google, explained that Triada was much more advanced than previously thought. "The methods Triada used were complex and unusual for these types of apps," Siewierski wrote in a blog post. "Triada apps started as rooting Trojans, but as Google Play Protect strengthened defenses against rooting exploits, Triada apps were forced to adapt, progressing to a system image backdoor." While Google added features to Android to protect against threats like Triada, the threat actors behind the malware took another unusual approach in the summer of 2017 and performed a supply chain attackto get the backdoor malware preinstalled on budget phones.


What Stands Out in Proposed Premera Lawsuit Settlement?

Technology attorney Steven Teppler points to the attention given to "fixing" the health insurer's security problems. The proposed agreement, which was filed on May 31 in a federal court in Oregon, would settle a class action lawsuit that consolidated more than 40 lawsuits filed after the data breach was revealed in March 2015 by the Seattle-based insurer. It awaits court approval. The settlement proposes $32 million for breach victims and related legal costs and would require the health insurer to invest $42 million in bolstering data security. The settlement "not only takes care of victims, but takes care of business internally at the organization to make sure there are resources devoted to fixing or mitigating the security problem, but also that there are ways to establish milestones to make sure what is promised is actually done," Teppler says in an interview with Information Security Media Group. Under the settlement, Premera would spend at least $14 million annually over the next three years on enhanced data security measures.


5 ways to achieve a risk-based security strategy


A risk-based security approach, on the other hand, identifies the true risks to an organization's most valuable assets and prioritizes spending to mitigate those risks to an acceptable level. A security strategy shaped by risk-based decisions enables an organization to develop more practical and realistic security goals and spend its resources in a more effective way. It also delivers compliance, not as an end in itself, but as natural consequence of a robust and optimized security posture. Although a risk-based security strategy requires careful planning and ongoing monitoring and assessment, it doesn't have to be an overly complex process. There are five key steps to implementing risk-based security, and though time-consuming, they will align security with the goals of the organization. Board-level support is paramount. Input from numerous stakeholders throughout the organization is essential, as risk mitigation decisions can have a serious effect on operations which security teams may not fully appreciate if they make these decisions in isolation.


Large firms look to zero-trust security to reduce cyber risk


Essentially, a zero-trust approach is about applying authentication and authorisation to ensure that all traffic within an enterprise is properly authenticated and authorised, whether it is someone coming in from the outside on a VPN connection, an application talking to another application on the network, or a user trying to use an application on the network. “The data from the survey shows many similarities between the various countries in terms of the gaps and threats that large enterprises need to deal with with respect to secure access,” said Scott Gordon, chief marketing officer at Pulse Secure. “Perhaps the most significant difference in secure access priorities was more focus on improving endpoint security and remediation prior to access in the US (57%) compared with 43% in the UK and just 31% in German, Austria and Switzerland. This trend also matches higher IoT adoption in the US, although Europe is catching up fast.” A key takeaway from this report, said Gordon, is that large organisations across Europe are dealing with an increasingly hybrid IT environment.



Quote for the day:


"Though nobody can go back and make a new beginning... Anyone can start over and make a new ending." -- Chico Xavier


Daily Tech Digest - June 11, 2019

Intel to Acquire Barefoot Networks, Accelerating Delivery of Ethernet-Based Fabrics

barefoot 2x1
An essential part of the equation is providing data center interconnects that can keep pace with our customers’ extraordinary and growing requirements. This is why interconnect is one of our six technology pillars in which we are investing to serve our customers. With this in mind, Intel has signed an agreement to acquire Barefoot Networks, an emerging leader in Ethernet switch silicon and software for use in the data center, specializing in the programmability and flexibility necessary to meet the performance and ever-changing needs of the hyperscale cloud. Upon close, the addition of Barefoot Networks will support our focus on end-to-end cloud networking and infrastructure leadership, and will allow Intel to continue to deliver on new workloads, experiences and capabilities for our data center customers. Led by Dr. Craig Barratt and based in Santa Clara, California, the Barefoot Networks team is a great complement to our existing connectivity offerings. Barefoot Networks will add deep expertise in cloud network architectures, P4-programmable high-speed data paths, switch silicon development, P4 compilers, driver software, network telemetry and computational networking.


Most code-signing processes insecure, study shows


“The reality is that every organisation is now in the software development business, from banks to retailers to manufacturers,” said Bocek, with the survey indicating that 69% of those polled expect their usage of code signing to grow in the next year. “If you’re building code, deploying containers, or running in the cloud, you need to get serious about the security of your code signing processes to protect your business,” he said.  The Venafi study found that although security professionals understand the risks of code signing, they are not taking proper steps to protect their organisation from attacks. Specifically, 35% do not have a clear owner for the private keys used in the code-signing processes at their organisations. Code-signing processes are used to secure and assure the authenticity of software updates for a wide range of software products, including firmware, operating systems, mobile applications and application container images. However, more than 25 million malicious binaries are enabled with code-signing certificates, and cyber criminals are misusing these certificates in their attacks.


Machine Learning has Significant Potential for the Manufacturing Sector


AI doesn’t just affect production and products. It can also allow manufacturers to expand the relationships they have with their customers beyond the point of sale. One company that has successfully incorporated machine learning into its catalog is Cummins Power Generation, an Indiana-based manufacturer of power-generating equipment, including generators and prime and stand-by systems. The company teamed up with Microsoft and Avtex several years ago to develop a remote monitoring system that collects data from Cummins products around the world. This system, known as the Power Command Cloud, “connects to millions of Cummins generators around the world, providing greater visibility into how equipment is performing and enabling refueling and performance maintenance at the exact time to maximize uptime,” Microsoft reported in 2016. This machine learning solution helps Cummins’ customers by monitoring multiple components, alerting users to trouble, and working to minimize the length and frequency of outages.


Correctness vs Change: Which Matters More?

The biggest obstacle to movement is not the work going into it, but it is the fear. Many modern standards help reduce this. Refactoring, with automated tests, helps us build a clear model of the code so that we can change it with confidence. Microservices help us limit the impact of changing a particular piece. Lehman even anticipated microservices: “Each module could be implemented as a program running on its own microprocessor and the system implemented as a distributed system.” He knew the world wasn’t ready for them, though: “Many problems in connection with the design and construction of such systems still need to be solved.” Some of these problems are now solved. We have automation for the maintenance of software components in quantity; we have APIs for infrastructure, builds and delivery. The crucial question in software architecture is “how will we change it?” We design both the future state of the system, and a path from here to there. To keep growing, we need to keep getting better at changing it, too. 


The Economics Of Artificial Intelligence - How Cheaper Predictions Will Change The World

Adobe Stock
"As economists studying innovation and technological change, a conventional frame for trying to understand and forecast the impact of new technology would be to think about what the technology really reduces the cost of," he tells me. "And really its an advance in statistical methods – a very big advance – and really not about intelligence at all, in a way a lot of people would understand the term ‘intelligence.' It's about one aspect of intelligence, which is prediction. “When I look up at the sky and see there are grey clouds, I take that information and predict that it’s going to rain. When I’m going to catch a ball, I predict the physics of where it’s going to end up. I have to do a lot of other things to catch the ball, but one of the things I do is make that prediction.” In business, we have to make these predictions many, many times each day. Will we make a higher profit by selling large volumes cheaply, or small volumes at a high price? Who is the best team member to take on a job? Where will we get the best "bang for our buck" out of our marketing budget?


5G and IoT – how to deal with data expansion as you scale

5G and IoT – how to deal with data expansion as you scale image
The speed at which organisations can integrate and analyse data will be vital because context is so important. For example, knowing a vehicle is stationary may not mean very much – unless you know it was travelling at 50 mph two seconds earlier. There will be a certain amount of data that can be processed at the edge in real time, but this is not suitable for other use cases. For example, getting contextual analysis in a matter of seconds will also be vital if organisations are to benefit from IoT, yet this has to be processed centrally in order to provide the right results to the business as a whole. Similarly, in the consumer setting, knowing that a customer has walked into a store is one thing, but to make the information useful, the retailer also needs to know all their online purchases, website clickstreams, service centre calls and so on. Building this Single Customer View is not something that can be achieved at the edge, however much it helps to have data close to the customer. This is why the distribution of data is so important – data might be created in multiple places, but it needs to be managed and used in the right places where it can provide the most value back to the business.


US Border License Plate and Traveler Photos Exposed

The breach comes as CPB has been increasingly using new tools and gathering more biometric information when people enter the United States. President Donald Trump has made border security and immigration key themes of his tenure, and these themes look to figure prominently in the 2020 presidential election. CPB says it has notified Congress and is working with law enforcement and cybersecurity experts. The agency's own Office of Professional Responsibility, which investigates corruption and mismanagement, has also begun an inquiry. The breach alert has already drawn scrutiny from lawmakers. Democratic Rep. Bennie G. Thompson of Mississippi says he plans to convene hearings next month covering the Department of Homeland Security's use of biometric data. "Government use of biometric and personal identifiable information can be valuable tools only if utilized properly," Thompson says. "We must ensure we are not expanding the use of biometrics at the expense of the privacy of the American public."


Cisco software to make networks smarter, safer, more manageable

intelligentnetwork
Together the new software and DNA Center will help customers set consistent policies across their domains and collaborate with others for the benefit of the entire network. Customers can define a policy once, apply it everywhere, and monitor it systematically to ensure it is realizing its business intent, said Prashanth Shenoy, Cisco vice president of marketing for Enterprise Network and Mobility. It will help customers segment their networks to reduce congestion, improve security and compliance and contain network problems, he said. “In the campus, Cisco’s SD-Access solution uses this technology to group users and devices within the segments it creates according to their access privileges. Similarly, Cisco ACI creates groups of similar applications in the data center,” Shenoy said. “When integrated, SD-Access and ACI exchange their groupings and provide each other an awareness into their access policies. With this knowledge, each of the domains can map user groups with applications, jointly enforce policies, and block unauthorized access to applications.” In the Cisco world it basically means there now can be a unification of its central domain network controllers and they can work together and let customers drive policies across domains.


Governing the onslaught of connected devices – what’s at stake for enterprises?

Referred to as so-called “killer apps,” smart speakers, and digital assistants, from leading tech giants (Amazon Echo/Alexa, Google Home, Siri, and Cortana) are becoming increasingly ubiquitous. Equally, the “Ring” and “Nest” series of products, owned by Amazon and Alphabet respectively, are another set of goods experiencing rapid adoption. As consumers accept more internet-enabled devices into their homes, they not only welcome the novel benefits, but also new concerns regarding the data collected. What was once unregulated, significant enforcement activities have taken place since the start of 2019. Several U.S. states, following GDPR’s passage last May, have proposed their own data protection laws that provide certain GDPR-like consumer rights. ... A multi-faceted problem, enterprises engaged in IoT use cases need a proper data framework in place. Such an infrastructure requires board-level sponsorship along with grassroots engagement across the entire corporate and IT ecosystems, with individuals taking responsibility and accountability for the way data is used.


Waste-Free Coding: Zero-Cost Abstraction in Java

You will learn where the main areas of waste exist in a Java application and the patterns that can be employed to reduce them. The concept of zero cost abstraction is introduced, and that many optimizations can be automated at compile time through code generation. A maven plugin simplifies the developer workflow. Our goal is not high performance, that comes as a by-product of maximizing efficiency. The solution employs Fluxtion which uses a fraction of the resources compared with existing java event processing frameworks. Climate change and its causes are currently of great concern to many. Computing is a major source of emissions, producing the same carbon footprint as the entire airline industry. In the absence of regulation dictating computing energy consumption we, as engineers, have to assume the responsibility for producing efficient systems balanced against the cost to create them. On a panel session from InfoQ 2019 in London, Martin Thompson spoke passionately about building energy-efficient computing systems. He noted controlling waste is the critical factor in minimizing energy consumption.



Quote for the day:


"Ninety percent of leadership is the ability to communicate something people want." -- Dianne Feinstein


Daily Tech Digest - June 10, 2019

AI needs a certification process, not legislation


Neither legal regulation nor ethical guidelines will keep AI development from running amok. That doesn’t mean there isn’t a solution, though. In fact, the solution is a lot simpler than you might think: Establish an independent body that can create standards and a program for certification. ... These compliance measures have highly technical standards that require organizations to comply with specific password protection measures, mobile phone security, data segregation, firewall protections, and many more nuanced topics. While there’s no legal penalty for non-certification, certification is often a necessity for businesses wanting to engage with one another. In AI, I propose that technical experts, investors, and policymakers within the space come together to create a global, independent governing body responsible for establishing and enforcing AI standards. The standards — which should be reviewed regularly with annual certification requirements — should spell out specific requirements such as compliance around avoiding bias in data sets, checks to ensure AI is being used ethically and in a way that isn’t discriminatory, controls around automated decision making, and emergency measures to stop an AI machine.




One way predictive analytics is changing transportation is in how it is forcing firms to evaluate how they arrange data sourced from electronic logs, video event recorders, electronic control modules, and other vehicle sensors. Organizing these sources is critical for triaging which transportation challenges to solve and means finding relationships among the data that can be made into useful experiences. For an automotive example, think of a Corvette. Specialty versions of the vehicle offer a Performance Data Recorder that enables telemetry overlays of vehicle data on video from a high-definition camera.That data, sourced from various system activities, is used to analyze driver sessions on a race track, enhancing a customer wish.  Exploring data organization will rise as autonomous vehicle fleets become more prominent on public roads. Vehicles have historically managed this data in one format or another, but until now there were no opportunities to consider data from a network, moreover with consideration of a central repository or local platform to host data. Autonomous vehicles generate real-time data creation, which can inform managers with real-time logistic decisions.



Innovation Hubs v Regulatory Sandboxes and the Future of Innovation Facilitators


Regulators gain a better understanding of innovation in financial services, and firms understand better the regulatory and supervisory expectations against the backdrop of rapid technological advancement. “In particular, innovation facilitators can help competent authorities to keep pace with developments by gaining near ‘real time’ insights into emerging technologies (such as distributed ledger technologies, big data analytics, artificial intelligence and machine learning) and their application in the financial sector. Competent authorities can apply these insights for the purposes of anticipating regulatory and supervisory issues and responding proactively.” On the other hand, it makes regulators more accessible to firms and in particular start-ups that lack resources and experience in regulatory matters However, the report also summarises some of the risks that are perceived by competent authority regarding the operation of innovation facilitators in general and with regulatory sandboxes in particular.

Cybersecurity insurance: Read the fine print

istock-503519736.jpg
Ernest Martin Jr. mentioned cybersecurity insurance is trying to protect a new and volatile industry; a good example would be determining how to insure a business that locates the company's technology (hardware and/or software) in a third-party's data center, which is becoming a common practice. "Even when a cyber policy provides a particular type of coverage, the actual scope of that coverage can be restricted in many ways," Dallas attorney Amy Elizabeth Stewart explains to Bounds. Stewart suggests firms that outsource their digital assets should understand how the coverage works when third-party vendors are involved, if they want to avoid unpleasant surprises. Bounds offers an example from Renee Hornbaker, former financial chief for Stream Energy Inc. as well as Flowserve Corporation (now retired). Hornbaker told Bounds she did not look forward to getting cybersecurity insurance, adding, "I found it to be costly, difficult to purchase, and the application process was onerous." Bounds brings up another good point about what could be a problem to some company executives: Obtaining insurance likely will entail disclosing a lot of sensitive information to the insurer, such as infrastructure setup and security practices.



Apache Mesos is an open source cluster management tool that abstracts and isolates resources within distributed IT environments. Enterprises use Mesos with, or as an alternative to, Kubernetes for container orchestration in large-scale deployments. ... Readers should expect the build process -- compiling and linking the components of Apache Mesos -- to take about one hour on a two-core machine with 8 GB of memory. Close any servers and end any running tasks on your machine before you begin compiling the Apache Mesos installation. This process can take 100% of the memory and prevent even SSH login attempts. All commands must execute via the sudo command, which enables you to act as the administrative root user. Test frameworks are not critical: It's a complicated process to write a Mesos test framework, and a regular user is unlikely to need one. Instead, IT admins are more likely to use a Mesos framework developed by an established vendor such as Hadoop, Spark or Cassandra.


The Problem with Quantum Computers

The Problem with Quantum Computers
The trouble is, quantum mechanics challenges our intuition. So we struggle to figure out the best algorithms for performing meaningful tasks. To help overcome these problems, our team at Los Alamos National Laboratory is developing a method to invent and optimize algorithms that perform useful tasks on noisy quantum computers. Algorithms are the lists of operations that tell a computer to do something, analogous to a cooking recipe. Compared to classical algorithms, the quantum kind are best kept as short as possible and, we have found, best tailored to the particular defects and noise regime of a given hardware device. That enables the algorithm to execute more processing steps within the constrained time frame before decoherence reduces the likelihood of a correct result to nearly zero. In our interdisciplinary work on quantum computing at Los Alamos, funded by the Laboratory Directed Research and Development program, we are pursuing a key step in getting algorithms to run effectively. The main idea is to reduce the number of gates in an attempt to finish execution before decoherence and other sources of errors have a chance to unacceptably reduce the likelihood of success.


pink blue powder explosion entrepreneurship innovation
Everyone possesses the ability to be good innovators. We are all born like this. But most of us unlearn these abilities through spending much of our lives within the tightly controlled systems that are constituted by our educational institutions and workplaces. A large 10-year study of 1,600 children which tested their creativity—defined as the ability to engage in divergent thinking, i.e. the ability to have original ideas which differ from anything you have ever seen before—measured the creativity of children who were 5, 10, and 15 years old. ... If those numbers don’t give you pause, I don’t know what will. These results also explain why our organizations lack innovation power. As citizens, we unlearn our skills of divergent thinking, and most of our organizations are built to promote and maintain this state. The organizations may have been founded by people who were creative geniuses, but unless the founders still run the organizations and are very visible bearers of the culture, the organizations quickly change and are left to people who have largely unlearned divergent thinking, and have rather learned convergent thinking, which is the ability to be critical.


Was Chase’s Digital-Only Bank Spinoff a Viable Strategy?


Financial institutions need to transform themselves from product-centric to customer-centric, from efficiency to flexibility, and from digital support to digital-only. The winners in the banking industry will find ways to collect and act on insights faster than the competition. This is what Amazon does and what consumers will expect from their financial institution. This can’t be achieved by protecting existing branch-based organizations, processes, or by hoping that increased investments in technology will save the day. This is because the financial support of legacy branches and processes (at least to the degree that is occurring in most organizations) is not sustainable. Alternative providers can provide greater value, better rates and a better experience at a lower cost. According to noted author and futurist Brett King, “We’re likely to see more digital-only offerings from traditional banks fail in the future where banks aren’t truly committed to digital transformation. The problem is that many traditional banks are doing this for PR reasons — not because they believe in digital as a destination. Ultimately they will fail because the traditional organization kills it off or starves it of adequate support”


Cisco to buy IoT security, management firm Sentryo

nwan 019 iiot
Sentryo's ICS CyberVision lets enterprises ensure continuity, resilience and safety of their industrial operations while preventing possible cyberattacks, said Nandini Natarajan , industry analyst at Frost & Sullivan. "It automatically profiles assets and communication flows using a unique 'universal OT language' in the form of tags, which describe in plain text what each asset is doing. ICS CyberVision gives anyone immediate insights into an asset's role and behaviors; it offers many different analytic views leveraging artificial intelligence algorithms to let users deep-dive into the vast amount of data a typical industrial control system can generate. Sentryo makes it easy to see important or relevant information." In addition, Sentryo's platform uses deep packet inspection (DPI) to extract information from communications among industrial assets, Natarajan said. This DPI engine is deployed through an edge-computing architecture that can run either on Sentryo sensor appliances or on network equipment that is already installed. Thus, Sentryo can embed visibility and cybersecurity features in the industrial network rather than deploying an out-of-band monitoring network, Natarajan said.


Reducing data security complexity: Avoiding endpoint bloat

Whether agents, particularly security control agents, persist over time is the only metric worth our attention, because it puts a spotlight on the greatest hidden danger of all: the naturalness of security decay. Things fall apart. Rust never sleeps. Agents topple over. Decay is the fate of all security agents. But if these serve as the foundation of our security goals or most technical expression of security intent, then what could possibly be more important? It’s also not a question of whether security decay is happening in your environment, you can rest assured it is. What must be asked is, will you persist through it? This question demands an answer. Ideally, organizations reduce their overall security costs by monitoring how their endpoint controls work (or don’t) to reduce endpoint security decay. They validate safeguards and eliminate compliance failures. And they respond to threats and exposures with the confidence to control devices from anywhere.



Quote for the day:


"Leaders are people who believe so passionately that they can seduce other people into sharing their dream." -- Warren G. Bennis,


Daily Tech Digest - June 09, 2019

Budweiser's Parent Company Invests In Blockchain For Farmers

uncaptioned
While the blockchain industry has swayed over the past year to a focus on how blockchain can save giant enterprises money by removing unnecessary middlemen, the investment by Anheuser-Busch InBev, a member of the inaugural Forbes Blockchain 50 list, and best known as the maker of Budweiser, is a return to blockchain’s roots as a way of empowering the unbanked. “Through this work, we are helping to create a digital ledger of farmers’ transactions that will create an economic identity and enable access to financial services,” said Maisie Devine, a director at AB InBev, in a statement. “This will ultimately allow farmers to grow their business and improve the livelihoods of their families and communities.” Belgium-based AB InBev’s work with BanQu was announced in August 2018 with a pilot in Zambia that served 2,000 of the region’s smallholder cassava farmers with subsequent services brought to Uganda, India, Brazil, Costa Rica, India, Indonesia, Jordan, Malawi, Somalia, South Africa, Syria, Uganda and the United States.



GDPR One Year On: Increasing Demand for ''Security By Design''

GDPR’s focus on personal data highlights how software is made and what components are used. Globally, businesses awoke to the reality that open source components are part of their software supply chains. “Security hasn’t caught up to 21st-century software engineering, so that’s being addressed now,” he said. GDPR put pressure on the industry to rethink, and re-engineer, software security at the start. Ilkka emphasized that negative publicity is a key motivating factor. No one wants to be part of the next big breach, meaning security is quickly becoming a mainstream priority, he adds. Simultaneously, a corporate shift is occurring. More software development teams are adopting a DevOps approach to production. This approach, which favors rapid iterations and software releases, produces better software, faster. A consequence is that security must be embedded from the start. A successful, secure design must be automated, repeatable, and scalable.


Tackling bias in artificial intelligence (and in humans)

Tackling bias in artificial intelligence (and in humans)
In many cases, AI can reduce humans’ subjective interpretation of data, because machine learning algorithms learn to consider only the variables that improve their predictive accuracy, based on the training data used. In addition, some evidence shows that algorithms can improve decision making, causing it to become fairer in the process. For example, Jon Kleinberg and others have shown that algorithms could help reduce racial disparities in the criminal justice system. Another study found that automated financial underwriting systems particularly benefit historically underserved applicants. Unlike human decisions, decisions made by AI could in principle (and increasingly in practice) be opened up, examined, and interrogated. To quote Andrew McAfee of MIT, “If you want the bias out, get the algorithms in.” At the same time, extensive evidence suggests that AI models can embed human and societal biases and deploy them at scale.



For two hours, a large chunk of European mobile traffic was rerouted through China

China Telecom
"Today's incident shows that the internet has not yet eradicated the problem of BGP route leaks," Madory said. "It also reveals that China Telecom, a major international carrier, has still implemented neither the basic routing safeguards necessary both to prevent propagation of routing leaks nor the processes and procedures necessary to detect and remediate them in a timely manner when they inevitably occur. "Two hours is a long time for a routing leak of this magnitude to stay in circulation, degrading global communications." But if any other ISP would have caused this incident, it would have likely been ignored. Alas, it was China Telecom, and there's a backstory. An academic paper published by experts from the US Naval War College and Tel Aviv University in October last year blamed China Telecom for "hijacking the vital internet backbone of western countries." The report argued that the Chinese government was using local ISPs for intelligence gathering by systematically hijacking BGP routes to reroute western traffic through its country, where it can log it for later analysis.


Why cryptocurrency’s not quite ready for takeoff


Why? Because crypto remains too far outside of what’s known as the “adjacent possible.” ... The adjacent possible can be illustrated using a coordinate graph. A point on the vertical axis shows how competent the technology is today, and a point on the horizontal axis shows how ready society is to accept and adopt the technology. The curve that connects the two points constantly moves outward over time, as technology gets better and society embraces new innovations. Inside the curve is technology that exists and is accepted. TVs, smartphones, and airliners are all safely inside this zone. Outside the curve is what’s not yet possible or adopted. Either the technology isn’t good enough yet, or the public isn’t ready — or, more typically, both. Holographic entertainment, augmented reality glasses, and consumer space travel sit out in that zone. Build such a product, and it will be too far ahead of its time. The magic happens in the thin band separating the two zones — in the adjacent possible.


Ireland's Priviti and Aussie fintech Accurassi partner for Open Banking

Following the Australian government’s response to the Review into Open Banking in 2018, Australia’s major banks will be required to make data available on credit and debit card, deposit and transaction accounts and mortgages by February 2020. The government’s legislated Consumer Data Right gives Australians greater control over their data and enables them to choose to share their data with trusted recipients for purposes they have authorised. This will first apply to the banking sector, followed by the energy and telecommunications sectors. Seizing the opportunity, Accurassi is launching its marketplace solution with banks and energy suppliers in the next few months and using consumer utility bill data to power personalised energy comparison services. The Priviti API will be embedded into the user experience to provide explicit authorisation to energy retailers for the release of bills to Accurassi.


Meet Kedro, McKinsey’s first open-source software tool

Kedro
The name Kedro, which derives from the Greek word meaning center or core, signifies that this open-source software provides crucial code for ‘productionizing’ advanced analytics projects. Kedro has two major benefits: it allows teams to collaborate more easily by structuring analytics code in a uniform way so that it flows seamlessly through all stages of a project. This can include consolidating data sources, cleaning data, creating features and feeding the data into machine-learning models for explanatory or predictive analytics. Kedro also helps deliver code that is ‘production-ready,’ making it easier to integrate into a business process. “Data scientists are trained in mathematics, statistics and modeling—not necessarily in the software engineering principles required to write production code,” explains Yetunde. “Often, converting a pilot project into production code can add weeks to a timeline, a pain point with clients. Now, they can spend less time on the code, and more time focused on applying analytics to solving their clients’ problems.”


Can Artificial Intelligence Save Us From Asteroidal Armageddon?

NASA'S Planetary Defense Coordination Office uses the Catalina Sky Survey facility in Tucson, Arizona, to catalog space objects
NASA’s Planetary Defense Coordination Office already uses numerous telescopes to find and monitor NEOs that might have the potential to impact Earth. But the non-profit Aerospace Corporation’s A.I. team is working with NASA on implementing software dubbed NEO AID (Near-Earth Object Artificial Intelligence Detection) to differentiate false positives from asteroids and comets that might be real threats. Nightly, researchers at locations such as the Catalina Sky Survey on Mount Lemmon in Tucson, Ariz. pore over hundreds of images of star fields in search of fast-moving objects that need more scrutiny, says Aerospace Corporation. It’s here that Aerospace A.I. engineers used 100 terabytes of data to build and train an artificial intelligence model that is now capable of classifying NEO targets of interest. And by Aerospace Corporation’s calculations, this new A.I. tech has already increased the sky survey’s performance by 10 percent with room for development. NASA’s Center for Near-Earth Object studies says that with over 90 percent of NEOs larger than one kilometer already discovered, the NEO program is now focusing on finding the 90 percent larger than 140 meters.


Machine Learning Is Not Magic: It’s All About Math, Stats, Data, and Programming


One of the main reasons why I kept making a U-turn was the liberal dosage of mathematics found in almost every ML resource that I bookmarked. Despite my determination and commitment, the thought that I need to learn advanced mathematics kept pushing me away. Let me admit it — I dread dealing with mathematics. I barely managed to pass my math papers in high school. When I was a teen, I rejoiced when I found that it was possible to build a career in IT without a master’s degree in mathematics. The fact that some advanced math became a prerequisite for ML disappointed me and, in many ways, brought back the nightmare of my school days. But as I continued to work with my customers on Internet of Things and data-centric projects, the possible usage of ML kept coming back to us. Meanwhile, the hype around ML has reached the peak. So much so that the cloud providers started to push ML more than the core IaaS components like VMs, storage, and networking. It also became extremely clear that ML is becoming the front and center of many emerging technologies including Cognitive Computing, Artificial Intelligence, Chatbots, Personal Assistants, and Predictive Maintenance.


Shifting the Conversation to Security by Design

It wasn’t a surprise that healthcare organizations were asking for this as well. We think that asking for changes to a mandate or regulation is a good thing in theory, but it’s tricky; you don’t want to over-mandate or over-regulate, but you also don’t want to under-regulate either. With cyber hygiene, if you are going to have meaningful regulation, you want to make sure it balances the technology side of the equation with the people side. You often hear the individuals in an organization getting blamed as the weakest link. We don’t like to think of it that way. We like to say individuals can be your strongest line of defense if they are adequately trained and have the right tools and resources, both from a technological perspective, but also from a training perspective. Safe harbor would remove penalties for healthcare organizations that suffer a cyber incident if they were in full compliance with HIPAA requirements and any other mandates that could secure the network or data. No matter how much money you spend, there is no protection that will render a system completely secure.



Quote for the day:


"Being responsible sometimes means pissing people off." -- Colin Powell


Daily Tech Digest - June 08, 2019

Building to last: the industrial internet of things and sustainability

Building to last: the industrial internet of things and sustainability image
The potential for IoT solutions in industrial environments is huge, and sadly, it is also necessary. Because in contrast to the possibilities uncovered by the WEF, the Organisation for Economic Cooperation and Development, (OECD) has reported that a group of ‘mega trends’ are driving change throughout businesses and the world at large, trends that will influence policy, commodity prices, energy and even the availability of water and other essential resources. The OECD’s trends include the world’s population being forecast to grow by an additional 3 billion by 2050, almost half as much again as today’s population. So many people on the planet will place exponentially greater demand on agricultural land for cereal crops and animal products, while 55% more water will be required for social needs and 400% more water would be needed by manufacturing compared with the year 2000. On top of that, such an increase in population would also mean manufacturing’s demand for electricity would ramp up by 140%.



The Next Steps for International Cooperation in Fintech

A significant disruption to the financial landscape is likely to come from the big tech firms, who will use their enormous customer bases and deep pockets to offer financial products based on big data and artificial intelligence. These developments hold out the promise of accelerating inclusion and modernizing financial markets, but raise, in addition to privacy issues, competition and market concentration concerns, both of which could lead to vulnerabilities in the financial system. China’s technology industry is a prime example of this trade-off between benefits and challenges. Over the last five years, technology growth in China has been extremely successful and allowed millions of new entrants to benefit from access to financial products and the creation of high-quality jobs. But it has also led to two firms controlling more than 90% of the mobile payments market. This presents a unique systemic challenge to financial stability and efficiency, and one I hope we can touch on during the G20, and address in a cooperative and consistent fashion


Why We Need a People-first AI Strategy


We need to have what I term as a “people-first” AI strategy. We have to use technology, not because technology exists, but because it helps us to become better individuals. When organizations deploy AI inside their work processes or systems, we have to explicitly focus on putting people first. This could mean a number of things. There will be some instances of jobs getting automated, so we have to make sure that we provide adequate support for re-skilling, for helping people transition across jobs, and making sure they don’t lose their livelihoods. That’s a very important basic condition. But more importantly, AI provides tools for predicting outcomes of various kinds, but the actual implementation is a combination of the outcome prediction plus judgment about the outcome prediction. The judgment component should largely be a human decision. We have to design processes and organizations such that this combination of people and AI lets people be in charge as much as possible. There has to be a human agency-first kind of principle that lets people feel empowered about how to make decisions, how to use AI systems to make better decisions.



5 Ways Big Data Can Vitalize Healthcare

There is a unique challenge that third-world countries, especially those in the Asian continent are facing. That is the quadrupling of ageing population. The United Nations Population Division reports that the population of elderly (aged 65 and above) has increased four times the ageing population of 1900s. Accompanied by a decline in birth rates, this means there are more elderly who need healthcare support than ever before. Time, distance and talent shortage makes it difficult to attend to these elderly on a regular basis. It is here that remote patient monitoring systems pitch in with a helping hand. Enabled with advanced technologies like the Internet of Things and telemedicine, healthcare professionals are now able to reach out to remotely located elderly easily. Singapore’s Elderly Management System (EMS) is a classic example of such data-driven health care initiatives. ... Forecasting healthcare requirements on a regional level cannot be done with the siloed information. Doctors, hospitals and administration need a combined view of the population demographics, the health challenges that they face and the bottlenecks that need to be resolved to improve health care.


When AI Becomes an Everyday Technology


At its core, AI is about automating judgments that have previously been the exclusive domains of humans. This is a significant challenge unto itself, of course, but it brings with it significant risk as well. Increasing effort, for instance, is required to make the decisions of AI systems more transparent and understandable in human terms. Additionally, best practices are emerging on how to use data sets and testing to ensure each sub-population of users is treated with fairness and consistency. There are also adversarial examples — deliberately misleading input intended to cause an AI system to misbehave — as well as deepfakes — realistically modified video — among many other emerging challenges. As leaders in AI, it’s our responsibility to face all of these complexities, and provide the expertise our customers and their users need to steer this technology in the right direction. ... Sooner or later, every technology transitions from an elite niche to a mainstream tool. AI is now undergoing a similar transformation. After years of hype around mysterious neural networks and the PhD researchers who design them, we’re entering an age in which just about anyone can leverage the power of intelligent algorithms to solve the problems that matter to them.


Kaminario Drives Composable Storage 2.0

The combination of Kaminario VisionOS and Flex software enables customers to build racks of commodity, off-the-shelf compute and solid-state drives (SSDs), and to then compose those resources into logical storage resources that are tailored to specific requirements. For example, to serve high performance workloads, the configuration can be CPU-heavy to drive controller functionality with a smaller amount of SSDs. More capacity-oriented workloads may require just two controllers but larger amounts of high-capacity flash. These most basic configuration of these storage resources include two active-active storage controllers and storage capacity in the form of SSDs, and Fibre Channel (FC) or iSCSI connectivity. These storage resources can be scaled as needed, adding one or more storage controllers for additional performance, or one or more JBOF shelves for additional capacity. This enables creation of scale-out clusters which complement the ability of each node to scale up with additional flexibility.


How to fail at digital transformation: 3 pitfalls to avoid at all costs


One of the biggest mistakes companies make is placing too much emphasis on the digital portion of digital transformation, said Solis. In other words, companies shouldn't take on digital initiatives for the sake of the trend. Companies will fail if they follow "Whatever the flavor of the month is, when you look at getting that technology because it's hot, and it's what everybody is doing," said Solis. "If you don't give it a sense of purpose, then that technology is going to be finite in its value to the organization." ... When teams get overwhelmed with too many digital transformation initiatives, their communication will begin to crumble, and the projects will follow suit, Hennessy noted. Organizations must make sure everyone in the company is aware and up to speed on the digital changes occuring. "If the communication is consistent and solid about the 'why' for the change, that can help the organization be ready for it," Hennessy said. "Then you make the change, with a lot of communication around it, reinforce the change over time, and reframe into this new state. ..."


What does an Enterprise Architect look like?

To clarify, the key job of the Enterprise Architect is to deliver the enterprise model, the blueprint. Because today, each Enterprise Architect comes with its own definition and preferred framework, to avoid conflicting EA developments and directions, the enterprise should employ only one Lead Enterprise Architect. The Enterprise Architect has to establish the EA framework, principles, methods and tools, coordinates the team, and plans the work. The role ultimately has to harmonize and coordinate the development of all business units architectures to make sure they fit coherently in the whole. If the enterprise is large enough though, for each business unit there should be an EA architect who reports, in architectural matters, to the Chief EA so that all outcomes are compatible. The Solution Architects may or may not report to the Chief Architect depending on the IT organization. Likewise, the Information Architects and Process Analysts may not report to the EA Architect.
Digital M&A in an era of increased regulatory scrutiny image
Alongside the surge in interest in data and tech acquisitions, international regulatory bodies are stepping up their levels of scrutiny to ensure that M&A activity is fair and doesn’t compromise national security or public interest – and this is inevitably making acquisitions of digital assets more complex. While our report found that between 2009-2017, less than one per cent of deals were withdrawn without completion as result of regulatory intervention, the number of deals that are being investigated – and which take longer to complete as a result – is much bigger. The cause for concern is that regulatory bodies are looking to increase their scrutiny and therefore the number of deals expected to be investigated looks set to increase dramatically, which will impact companies from across multiple sectors that are buying or selling data assets. There are also questions around how the traditional review standards and tools can, and should, be applied to data deals. So why the increased scrutiny by authorities?


How a new wave of accessibility tech is bringing benefits to all


Data released by Ofcom earlier this year revealed that people with disabilities are being left behind or are simply not using modern tech to the same degree as the rest of the population. The report states that only 53% of people with disabilities have a smartphone in their household, compared with 81% of non-disabled people. Ofcom also noted that 67% of people with disabilities use the internet, compared with 92% of non-disabled people. The consequences of improving this situation are profound. According to disability charity Scope, if a million more people with disabilities could work, the UK economy alone would grow by 1.7%, or £45bn. This is a fact Microsoft is aware of and working to change. In April this year it reached the highest level of the government’s disability employment scheme and became a Disability Confident Leader. This is a status it shares with technology resell partner John Lewis, which achieved its leadership credentials for disability employment in February this year.



Quote for the day:


"Good leaders must first become good servants." -- Robert Greenleaf


Daily Tech Digest - June 07, 2019

Autonomous versus automated: What each means and why it matters

Futuristic technology of self-driving car.
Automated systems work best in well-defined environments with clear functions to perform. These systems can be built efficiently, and operate much faster than a human. One area, specific to security, that comes to mind is in validating an infrastructure template. As infrastructure increasingly becomes software defined, a CI/CD like process is needed to validate the configurations. This can be viewed as a pre-deployment compliance check to make sure the infrastructure is provisioned correctly and that human errors are caught. Autonomous systems are most effective in an ever-evolving landscape such as new attack vectors and increased attack surfaces. These systems need access to datasets from which to learn from and new algorithms to analyze the data differently as the AI space matures. These systems come at a cost, however, as many are heavily focused on R&D with increasing investments made over time. Due to the increased cost and complexity, these systems are overkill for solving solutions that are just as easily addressed by automation based systems. Over time, autonomous systems will require less training data, and the complexity is already being reduced by a combination of open source projects and cloud provider offerings, but they will continue to be more complex and expensive relative to automated systems.



Making the most of micro-moments with Dr. Shamsi Iqbal

The word “distraction” has a negative connotation to it and I want to look at it differently because sometimes you do need to step away from work and you do need to take breaks and you do need to just refresh your perspectives and I believe that that actually makes you more productive in the long run. So, I think that the problem is deeper here. So, we need to take breaks. We need to do other stuff, but we have difficulties in prioritizing what is important for us, what we need to get done, what moves us forward in the responsibilities that we have. And we often get lost. And I think that’s where technology can help us. I mean, if I’m not able to help myself because I am just distractible and when I go down that rat hole of distractions, then maybe yes, I do need something that pulls me back out. And so, that’s how we’re coming at this problem because I personally don’t feel that if you take a break and you go and chat with a colleague about mundane things, or if I go on Facebook or Twitter, unless I’m spending hours on it, I don’t see that to be a problem.


Legacy IT systems a significant security challenge


As legacy IT systems age, said Ford, the security risks increase, compounded by the fact that many of these systems are critical to the business and often cannot be decommissioned or replaced because of high costs, complexity or lack of suitable alternatives. “Legacy IT systems are often at the heart of cyber breach incidents, and because decommissioning is not usually an option, information security professionals need to manage the risk by working closely with key business stakeholders to identify all critical systems and the systems that support them,” he said.  The next step, said Ford, is to understand which are the most critical systems. “The role of security professionals is to assess the likelihood and potential impact of a cyber attack, while the role of business [professionals] is to identify what systems and processes are the most critical,” he said. Once security professionals understand what systems are critical, Ford said they would be able to prioritise and plan which ones to update and patch to make them secure. “This should be the objective of all information security professionals as business risk managers.”


Instagram's ecommerce move reveals retailers need blockchain to keep up

Instagram's ecommerce move reveals retailers need blockchain to keep up
Believe it or not, many of the very retailers who promote themselves on Instagram as the latest viral craze still use pen and paper for their internal logistics systems. The reason is simple: instead of modernizing to keep up with consumer trends and technological advancements, suppliers tend to stick with what they know. This results in disastrous outcomes for consumers who purchases get lost in shipping frenzies, particularly around the holidays. For example, in 2014, the U.S. Postal Service reported that about 88 million undeliverable items were directed to the USPS Mail Recovery Center in Atlanta, Georgia. Of those tens of millions of items, only about 3% ended up in the correct customer's hands – the rest either got destroyed, donated or auctioned off. The most frustrating part of this current cycle of mismanagement is that real solutions already exist to help companies improve successful rates of delivery. By incorporating blockchain technology into the shipment process, retailers can create a fully integrated and streamlined system across their entire supply chain.


Cloud Hadoop Competition Hits MapR, Cloudera

Image: echiechi - stock.adobe.com
"MapR has formidable competition on premises from a much larger Cloudera now, and faces increased pressure from cloud providers offering their own Hadoop-based solutions. Their proprietary versions of open source components now appear more risky as a result, and lead to more questions about their suitability for long term plans," Adrian told InformationWeek this week. "Gartner has talked to a number of concerned [MapR] customers, some quite large, who believe in the technology, and some made additional investments during the past year, but the outlook is not encouraging." Among the company's missteps was the transition from direct sales to an indirect model, which is tricky when you are dealing with complicated technology sales to enterprise-sized companies, according to Adrian. In spite of its own difficulties, Cloudera may be positioned to take advantage of MapR's troubles. Cloudera's Reilly said that the merger with Hortonworks has enabled the company to get more resources and scale to develop cloud architecture to "quickly re-platform our business. MapR could not get the resources or scale. Their customer base is an opportunity for us and part of our growing pipeline."


Juniper: Security could help drive interest in SDN


Juniper’s study found that 87 percent of businesses are still doing most or some of their network management at the device level. What all of this shows is that customers are obviously interested in SDN but are still grappling with the best ways to get there, Bushong said. The Juniper study also found users interested in SDN because of the potential for a security boost.  SDN can empowers a variety of security benefits. A customer can split up a network connection between an end user and the data center and have different security settings for the various types of network traffic. A network could have one public-facing, low-security network that does not touch any sensitive information. Another segment could have much more fine-grained remote-access control with software-based firewall and encryption policies on it, which allow sensitive data to traverse over it. SDN users can roll out security policies across the network from the data center to the edge much more rapidly than traditional network environments. 


img-20190604-184848.jpg
"This method was inherently biased," he said, and "failed to captured niche interests like mushroom picking." That led to the creation of Amazon's first recommendation engine. Wilke outlined the technical details of the matrix-based completion methods that Amazon tested, which eventually led to its first commercial deep learning model. Throughout, "We didn't sequester our scientists," he said. Instead, data scientists were integrated into teams focused on the product and customer experience. "They start with the customer experience, not the machine learning algorithm," he said. Similarly, for the development of its in-store shopping experience, Amazon Go VP Dilip Kumar stressed, "If you start with a genuine customer problem, you can use the power of machine learning... to build a stellar customer experience." To create the concept of the Amazon Go store -- "take what you want and just go," according to Kumar -- Amazon had to choose technologies to eliminate the checkout process. It settled on computer vision. The first problem to solve, he said, was identifying the customer account and their precise location in the store. Amazon utilized geometry and deep learning to not just predict customer account location but accurately associate interactions to the right customer account.


Nearly two-thirds of businesses hit by credential abuse


“Both internal employees and third-party vendors need privileged access to be able to do their jobs effectively, but need this access granted in a way that doesn’t compromise security or impede productivity,” said Morey Haber, CTO and CISO of BeyondTrust. “In the face of growing threats, there has never been a greater need to implement organisation-wide strategies and systems to manage and control privileged access in a way that fits the needs of the user.” Globally, the businesses surveyed reported an average of 182 third-party suppliers logging in to their systems every week. In UK organisations, 46% said they have more than 100 suppliers logging in regularly, underlining the scope of risk exposure. The UK data shows that businesses still tend to be too trusting, with 83% admitting they trust third-party suppliers accessing their networks, slightly up from last year’s report. However, trust in employee privileged access was cited at 87%, down from 91% a year ago.


Cloud adoption drives the evolution of application delivery controllers

Cloud adoption drives the evolution of application delivery controllers
This begs the question as to what features ADC buyers want for a cloud environment versus traditional ones. The survey asked specifically what features would be most appealing in future purchases, and the top response was automation, followed by central management, application analytics, on-demand scaling (which is a form of automation), and visibility.  The desire to automate was a positive sign for the evolution of buyer mindset. Just a few years ago, the mere mention of automation would have sent IT pros into a panic. The reality is that IT can’t operate effectively without automation, and technology professionals are starting to understand that. The reason automation is needed is that manual changes are holding businesses back. The survey asked how the speed of ADC changes impacts the speed at which applications are rolled out, and a whopping 60% said it creates significant or minor delays. In an era of DevOps and continuous innovation, multiple minor delays create a drag on the business and can cause it to fall behind is more agile competitors.


Why Should We Care About Technology Ethics? The Updated ACM Code of Ethics

The original purpose of business is to serve society. If you don't serve society it’s less likely that someone will buy your product. And these days there's a been huge push from society towards requiring more ethical business practices. We've also seen pushback from employees within several well-known large companies when it comes to ethical issues, so there’s internal as well as external push for more ethical technologies. We're seeing these sorts of demands for more environmental considerations, more sustainability considerations, and more concern for the societal impact of technologies, too. People are worried about their data, they're worried about their privacy, they're worried about their kids, they're worried about all kinds of ethical issues that impact them. The fact that a lot of these companies have been able to operate in a relatively grey area for so long has meant that we've actually seen where these cases can go. There's now demand for governments to regulate more heavily, as can be seen with the GDPR.



Quote for the day:


"Leadership, on the other hand, is about creating change you believe in." -- Seth Godin