Daily Tech Digest - April 26, 2024

Counting the Cost: The Price of Security Neglect

In the perfect scenario, the benefits of a new security solution will reduce the risk of a cyberattack. But, it’s important to invest with the right security vendor. Any time a vendor has access to a company’s systems and data, that company must assess whether the vendor’s security measures are sufficient. The recent Okta breach highlights the significant repercussions of a security vendor breach on its customers. Okta serves as an identity provider for many organizations, enabling single sign-on (SSO). An attacker gaining access to Okta’s environment could potentially compromise user accounts of Okta customers. Without additional access protection layers, customers may become vulnerable to hackers aiming to steal data, deploy malware, or carry out other malicious activities. When evaluating the privacy risks of security investments, it’s important to consider an organization’s security track record and certification history. ... Security and privacy leaders can bolster their case for additional investments by highlighting costly data breaches, and can tilt the scale in their favor by seeking solutions with strong records in security, privacy, and compliance.


Is Your Test Suite Brittle? Maybe It’s Too DRY

DRY in test code often presents a similar dilemma. While excessive duplication can make tests lengthy and difficult to maintain, misapplying DRY can lead to brittle test suites. Does this suggest that the test code warrants more duplication than the application code? A common solution to brittle tests is to use the DAMP acronym to describe how tests should be written. DAMP stands for "Descriptive and Meaningful Phrases" or "Don’t Abstract Methods Prematurely." Another acronym (we love a good acronym!) is WET: "Write Everything Twice," "Write Every Time," "We Enjoy Typing," or "Waste Everyone’s Time." The literal definition of DAMP has good intention - descriptive, meaningful phrases and knowing the right time to extract methods are essential when writing software. However, in a more general sense, DAMP and WET are opposites of DRY. The idea can be summarized as follows: Prefer more duplication in tests than you would in application code. However, the same concerns of readability and maintainability exist in application code as in test code. Duplication of concepts causes the same problems of maintainability in test code as in application code.


PCI Launches Payment Card Cybersecurity Effort in the Middle East

The PCI SSC plans to work closely with any organization that handles payments within the Middle East payment ecosystem, with a focus on security, says Nitin Bhatnagar, PCI Security Standards Council regional director for India and South Asia, who will now also oversee efforts in the Middle East. "Cyberattacks and data breaches on payment infrastructure are a global problem," he says. "Threats such as malware, ransomware, and phishing attempts continue to increase the risk of security breaches. Overall, there is a need for a mindset change." The push comes as the payment industry itself faces significant changes, with alternatives to traditional payment cards taking off, and as financial fraud has grown in the Middle East. ... The Middle East is one region where the changes are most pronounced. Middle East consumers prefer digital wallets to cards, 60% to 27%, as their most preferred method of payment, while consumers in the Asia-Pacific region slightly prefer cards, 43% to 38%, according to an August 2021 report by consultancy McKinsey & Company.


4 ways connected cars are revolutionising transportation

Connected vehicles epitomize the convergence of mobility and data-driven technology, heralding a new era of transportation innovation. As cars evolve into sophisticated digital platforms, the significance of data management and storage intensifies. The storage industry must remain agile, delivering solutions that cater to the evolving needs of the automotive sector. By embracing connectivity and harnessing data effectively, stakeholders can unlock new levels of safety, efficiency, and innovation in modern transportation. ... Looking ahead, connected cars are poised to transform transportation even further. As vehicles become more autonomous and interconnected, the possibilities for innovation are limitless. Autonomous driving technologies will redefine personal mobility, enabling efficient and safe transportation solutions. Data-driven services will revolutionise vehicle ownership, offering personalised experiences tailored to individual preferences. Furthermore, the integration of connected vehicles with smart cities will pave the way for sustainable and efficient urban transportation networks.


Looking outside: How to protect against non-Windows network vulnerabilities

Security administrators running Microsoft systems spend a lot of time patching Windows components, but it’s also critical to ensure that you place your software review resources appropriately – there’s more out there to worry about than the latest Patch Tuesday. ... Review the security and patching status of your edge, VPN, remote access, and endpoint security. Each of these endpoint software has been used as an entryway into many governments and corporate networks. Be prepared to immediately patch and or disable any of these software tools at a moment’s notice should the need arise. Ensure that you have a team dedicated to identifying and tracking resources to help alert you to potential vulnerabilities and attacks. Resources such as CISA can keep you alerted as can making sure you are signed up for various security and vendor alerts as well as having staff that are aware of the various security discussions online. These edge devices and software should always be kept up to date and you should review life cycle windows as well as newer technology and releases that may decrease the number of emergency patching sessions your Edge team finds themselves in.


Application Delivery Controllers: A Key to App Modernization

As the infrastructure running our applications has grown more complex, the supporting systems have evolved to be more sophisticated. Load balancers, for example, have been largely superseded by application delivery controllers (ADCs). These devices are usually placed in a data center between the firewall and one or more application servers, an area known as the demilitarized zone (DMZ). While first-generation ADCs primarily handled application acceleration and load balancing between servers, modern enterprise ADCs have considerably expanded capabilities and have evolved into feature-rich platforms. Modern ADCs include such capabilities as traffic shaping, SSL/TLS offloading, web application firewalls (WAFs), DNS, reverse proxies, security analytics, observability and more. They have also evolved from pure hardware form factors to a mixture of hardware and software options. One leader of this evolution is NetScaler, which started more than 20 years ago as a load balancer. In the late 1990s and early 2000s, it handled the majority of internet traffic. 


Curbing shadow AI with calculated generative AI deployment

IT leaders countered by locking down shadow IT or making uneasy peace with employees consuming their preferred applications and compute resources. Sometimes they did both. Meanwhile, another unseemly trend unfolded, first slowly, then all at once. Cloud consumption became unwieldy and costly, with IT shooting itself in the foot with misconfigurations and overprovisioning among other implementation errors. As they often do when investment is measured versus business value, IT leaders began looking for ways to reduce or optimize cloud spending. Rebalancing IT workloads became a popular course correction as organizations realized applications may run better on premises or in other clouds. With cloud vendors backtracking on data egress fees, more IT leaders have begun reevaluating their positions. Make no mistake: The public cloud remains a fine environment for testing and deploying applications quickly and scaling them rapidly to meet demand. But it also makes organizations susceptible to unauthorized workloads. The growing democratization of AI capabilities is an IT leader’s governance nightmare. 


CIOs eager to scale AI despite difficulty demonstrating ROI, survey finds

“Today’s CIOs are working in a tornado of innovation. After years of IT expanding into non-traditional responsibilities, we’re now seeing how AI is forcing CIOs back to their core mandate,” Ken Wong, president of Lenovo’s solutions and services group, said in a statement. There is a sense of urgency to leverage AI effectively, but adoption speed and security challenges are hindering efforts. Despite the enthusiasm for AI’s transformative potential, which 80% of CIOs surveyed believe will significantly impact their businesses, the path to integration is not without its challenges. Notably, large portions of organizations are not prepared to integrate AI swiftly, which impacts IT’s ability to scale these solutions. ... IT leaders also face the ongoing challenge of demonstrating and calculating the return on investment (ROI) of technology initiatives. The Lenovo survey found that 61% of CIOs find it extremely challenging to prove the ROI of their tech investments, with 42% not expecting positive ROI from AI projects within the next year. One of the main difficulties is calculating ROI to convince CFOs to approve budgets, and this challenge is also present when considering AI adoption, according to Abhishek Gupta, CIO of Dish TV. 


AI Bias and the Dangers It Poses for the World of Cybersecurity

Without careful monitoring, these biases could delay threat detection, resulting in data leakage. For this reason, companies combine AI’s power with human intelligence to reduce the bias factor shown by AI. The empathy element and moral compass of human thinking often prevent AI systems from making decisions that could otherwise leave a business vulnerable. ... The opposite could also occur, as AI could label a non-threat as malicious activity. This could lead to a series of false positives that cannot even be detected from within the company. ... While some might argue that this is a good thing because supposedly “the algorithm works,” it could also lead to alert fatigue. AI threat detection systems were added to ease the workload in the human department, reducing the number of alerts. However, the constant red flags could cause more work for human security providers, giving them more tickets to solve than they originally had. This could lead to employee fatigue and human error and take away the attention from actual threats that could impact security.


The Peril of Badly Secured Network Edge Devices

The biggest risks involved anyone using internet-exposed Cisco Adaptive Security Appliance devices, who were five times more likely than non-ASA users to file a claim. Users of internet-exposed Fortinet devices were twice as likely to file a claim. Another risk comes in the form of Remote Desktop Protocol. Organizations with internet-exposed RDP filed 2.5 times as many claims as organizations without it, Coalition said. Mass scanning by attackers, including initial access brokers, to detect and exploit poorly protected RDP connections remains rampant. The sheer quantity of new vulnerabilities coming to light underscores the ongoing risks network edge devices pose. ... Likewise for Cisco hardware: "Several critical vulnerabilities impacting Cisco ASA devices were discovered in 2023, likely contributing to the increased relative frequency," Coalition said. In many cases, organizations fail to patch these vulnerabilities, leaving them at increased risk, including by attackers targeting the Cisco AnyConnect vulnerability, designated as CVE-2020-3259, which the vendor first disclosed in May 2020.



Quote for the day:

"Disagree and commit is a really important principle that saves a lot of arguing." -- Jeff Bezos

Daily Tech Digest - April 25, 2024

The rise in CISO job dissatisfaction – what’s wrong and how can it be fixed?

“The reason for dissatisfaction is the lack of executive management support,” says Nikolay Chernavsky, CISO of ISSQUARED, which provides managed IT and security services as well as software products. He says he hears CISOs voice frustrations when their views on required security measures and acceptable risk are dismissed; when the board and CEO don’t define their positions on those issues; or when those leaders don’t recognize the CISOs work in reducing risk — especially as the CISO faces more accountability and liability. Understandably, CISOs shy away from interview requests to publicly share their frustrations on these issues. However, the IANS Research report speaks to these points, noting, for example, that only 36% of CISOs said they have clear guidance from their board on their risk tolerance. Adding to these issues today is the liability that CISOs now face with the new US Securities and Exchange Commission (SEC) cyber disclosure rules as well as other regulatory and legal requirements. That increased liability is coupled with the fact that many CISOs are not covered by their organization’s directors and officers (D&O) liability insurance.


How CIOs align with CFOs to build RevOps

CIOs who transition IT from being a cost center to being a driver of innovation, transformation, and new revenues, can become the leaders that the new economy needs. “We used to say that business runs technology,” says David Kadio-Morokro, EY Americas financial services innovation leader. “You tell me what you want, and I’ll code it and support you.” Now it’s switched, he says. “I really believe technology drives the business, because it’s going to impact business strategy and how the business survives,” he adds, and gen AI will force companies to rethink the value of their organizations to customers. “Developing and envisioning an AI-driven strategy is absolutely part of the equation,” he says. “And the CIO has this role of enabling these components, and they need to be part of the conversation and be able to drive that vision for the organization.” The CIO is also in a position to help the CFO evolve, too. CFOs are traditionally risk averse and expect certainty and accuracy from their technology. Not only is gen AI still a new and experimental technology that’s evolving quickly but is, by its very nature, probabilistic and nondeterministic.


Do you need to repatriate from the cloud?

It should be no surprise that repatriation has gained this hype. Cloud, which grew to maturity during an economic boom, is for the first time under downward pressure as companies seek to reduce spending. Amazon, Google, Microsoft, and other cloud providers have feasted on their customers’ willingness to spend. But the willingness has been tempered now by budget cuts. ... Transitioning back to on-premises is a heavy lift, and one that is hard to rescind should things go badly. And savings is yet to be seen until after the transition is complete. Switching to WebAssembly-powered serverless functions, in contrast, is less expensive and less risky. Because such functions can run inside of Kubernetes, the savings thesis can be tested merely by carving off a few representative services, rewriting them, and analyzing the results. Those already invested in a microservice-style architecture are already well setup to rebuild just fragments of a multi-service application. Similarly, those invested in event processing chains like data transformation pipelines will also find it easy to identify a step or two in a sequence that can become the testbed for experimentation.


ONDC’s blockchain is a Made-in-India visioning of global digital public infrastructures

ONDC Confidex is a transformative shift towards decentralised trust. Anchored in the blockchain’s nativity, this shift promotes a value exchange network of networks that enables the reuse of continuously assured data that is traceable, reliable, secure, transparent and immutable. Confidex provides a transparent ledger that tracks every phase in the supply chain from production to end consumption. This level of detail not only fosters trust but also aligns with the broader vision of creating a global standard for ensuring product history’s authenticity—a core aspect of continuous data assurance. In the realm of digital transactions, the reliability of data underpins the foundation of trust. Confidex enables data certainty, making each transaction verifiable and immutable. This paves the way for friction-free interactions within digital marketplaces, ensuring that every piece of data holds its integrity from the point of creation to consumption. The digital economy is plagued with issues of forgery and duplication. Confidex addresses this head-on by creating unique digital records that are impossible to replicate or alter. 


How will AI-driven solutions affect the business landscape?

Redmond believes that the tech will quickly become embedded in normal business practice. “We won’t even think about asking gen AI to draft emails or documents or to generate images for our presentations.” He’s also looking forward to seeing how AI-driven video technology plays out, particularly OpenAI’s Sora. “I know that a lot of people in content generation are nervous about these tools replacing them, but I don’t think we hire an artist for their ability to draw, we hire them for their ability to draw what is in their imagination, and that is where their genius lies,” he says. “I am not sure that artists will ever stop creating wonderful works, and these technologies will just enhance that.” Tiscovschi agrees with Redmond’s outlook, stating that “this is just the beginning”. “We will continuously see more teams of humans and their AI agents or tools working together to achieve tasks,” he says. “A human quickly mining their organisation’s IP, automating repetitive tasks and then collaborating with their AI copilot on a report or piece of code will have a constantly growing multiplier on their productivity.”


5 Strategies for Better Results from an AI Code Assistant

The first step is to provide the GPT with high-level context. In her scenario, Phil demonstrates by building a Markdown editor. Since Copilot has no idea of the context, he has to provide it and he does this with a large prompt comment with step-by-step instructions. For instance, he tells the copilot, “Make sure we have support for bold, italics and bullet points” and “Can you use reactions in the React markdown package.” The prompt enables Copilot to create a functional but unsettled markdown editor. ... Follow up by providing the Copilot with specific details, Scarlett advised. “If he writes a column that says get data from [an] API, then GitHub Copilot may or may not know what he’s really trying to do, and it may not get the best result. It doesn’t know which API he wants to get the data from or what it should return,” Scarlett said. “Instead, you can write a more specific comment that says use the JSON placeholder API, pass in user IDs, and return the users as a JSON object. That way we can get more optimal results.”


ESG research unveils critical gaps in responsible AI practices across industries

In light of the ESG Research findings, Qlik recognises the imperative of aligning AI technologies with responsible AI principles. The company’s initiatives in this area are grounded in providing robust data management and analytics capabilities, essential for any organisation aiming to navigate the complexities of AI responsibly. Qlik underscores the importance of a solid data foundation, which is critical for ensuring transparency, accountability, and fairness in AI applications. Qlik’s commitment to responsible AI extends to its approach to innovation, where ethical considerations are integrated into the development and deployment of its solutions. By focusing on creating intuitive tools that enhance data literacy and governance, Qlik aims to address key challenges identified in the report, such as ensuring AI explainability and managing regulatory compliance effectively. Brendan Grady, General Manager, Analytics Business Unit at Qlik, said, “The ESG Research echoes our stance that the essence of AI adoption lies beyond technology—it’s about ensuring a solid data foundation for decision-making and innovation. 


Applying DevSecOps principles to machine learning workloads

Unlike in a conventional software development environment with an integrated development environment (IDE), data scientists typically write code using Jupyter Notebooks. This takes place outside of an IDE, and often outside of the traditional DevSecOps lifecycle. As a result, it’s possible for a data scientist who is not trained on secure development techniques to put sensitive data at risk, by storing unprotected secrets or other sensitive information in a notebook. Simply put, the same tools and protections used in the DevSecOps world aren’t effective for ML workloads. The complexity of the environment also matters. Conventional development cycles usually lead directly to a software application interface or API. In the machine learning space, the focus is iterative, building a trainable model that leads to better outcomes. ML environments produce large quantities of serialized files necessary for a dynamic environment. The upshot? Organizations can become overwhelmed by the inherent complexities of versioning and integration.


Introducing Wi-Fi 7 access points that deliver more

This idea that the access point (AP) can do more than just route traffic is a core part of our product philosophy, and we’ve consistently expanded on that over multiple Wi-Fi generations with the addition of location services, IoT protocol support, and extensive network telemetry for security and AIOps. As organizations continue to innovate, and leverage applications that require more bandwidth or more IoT devices to support new digital use cases, the AP must continue to do more. Delivering solutions that go beyond standards is part of HPE Aruba Networking’s history and future. Now, with the introduction of 700 series access points that support Wi-Fi 7, we are doubling IoT capabilities with dual BLE 5.4 or 802.15.4/Zigbee radios and dual USB interfaces and improving location precision for use cases such as asset tracking and real-time inventory tracking. Moreover, we are using both the resources and the management of the AP to its full potential by delivering ubiquitous high-performance connectivity and processing at the edge. What this means is that these access points not only have optimal support for the 2.4, 5, and 6 GHz spectrum but also enough memory and compute capacity to run containers.


Why Your Enterprise Should Create an Internal Talent Marketplace

Strategically, an internal talent marketplace is a way to empower employees to be in the driver’s seat of their career journey, says Gretchen Alarcon, senior vice president and general manager of employee workflows at software and cloud platform provider ServiceNow, via email. "Tactically, it's a platform driven by technology that uses AI to match existing talent to open roles or projects within the organization," she explains. "It provides a more transparent view of new opportunities for employees and identifies untapped employee potential based on skills rather than anecdotes." ... A talent marketplace is only as good as the information it contains, Williamson warns. "Organizations should emphasize to employees that it's in their interest to keep the skills and preferences in their profiles up to date," he says. Managers. meanwhile, need to define the exact critical skills needed to be successful in a particular job or role. "That information drives recommended opportunities for employees and increases their chances of being identified by project managers to fill roles."



Quote for the day:

"Rarely have I seen a situation where doing less than the other guy is a good strategy." -- Jimmy Spithill

Daily Tech Digest - April 24, 2024

The shift towards a combined framework for API threat detection and the protection of vital business applications signals a move to proactive and responsive security. ... Companies cannot afford to underestimate the threat bots pose to their API-driven applications and infrastructure. Traditional silos between fraud and security teams create dangerous blind spots. Fraud detection often lacks visibility into API-level attacks, while API security tools may overlook fraudulent behavior disguised as legitimate traffic. This disconnect leaves businesses vulnerable. By integrating fraud detection, API security, and advanced bot protection, organizations create a more adaptive defense. This proactive approach offers crucial advantages: swift threat response, the ability to anticipate and mitigate vulnerabilities exploited by bots and other malicious techniques, and an in-depth understanding of application abuse patterns. These advantages lead to more effective threat identification and neutralization, combating both low-and-slow attacks and sudden volumetric attacks from bots.


Fortifying the Software Supply Chain

Firstly, it enhances security and compliance by consolidating code repositories in a single, cloud-based platform. This allows organizations to gain better control over access permissions and enforce consistent security policies across the entire codebase. Centralized environments can be configured to comply with industry standards and regulations automatically, reducing the risk of breaches that could disrupt the supply chain. As Jen Easterly, Director of the U.S. Cybersecurity and Infrastructure Security Agency (CISA), emphasizes, centralizing source code in the cloud aligns with the goal of working with the open source community to ensure secure software while reaping its benefits. Secondly, cloud-based centralization fosters improved collaboration and efficiency among development teams. With a centralized platform, teams can collaborate in real-time, regardless of their geographical location, facilitating faster decision-making and problem-solving. ... Thirdly, centralized cloud environments offer enhanced reliability and disaster recovery capabilities. Cloud providers typically replicate data across multiple locations, ensuring that a failure in one area does not result in data loss.


GenAI can enhance security awareness training

Social engineering is fundamentally all about psychology and putting the victim in a situation where they feel under pressure to make a decision. Therefore, any form of communication that imparts a sense of urgency and makes an unusual request needs to be flagged, not immediately responded to, and subjected to a rigorous verification process. Much like the concept of zero trust, the approach should be “never trust, always verify”, and the education process should outline the steps that should be taken following an unusual request. For instance, in relation to CFO fraud, the accounts department should have a set limit for payments and exceeding these should trigger a verification process. This might see staff use a token-based system or authenticator to verify the request is legitimate. Secondly, users need to be aware of oversharing. Is there a company policy to prevent information being divulged over the phone? Restrictions on the posting of company photos that an attacker could exploit? Could social media posts be used to guess passwords or an individual’s security questions? Such steps can reduce the likelihood of digital details being mined.


AI and Human Capital Management: Bridging the Gap Between HR and Technology

Amid the strides of technology, the relevance of the human factor remains important for the human resource professional. They grapple with the challenge of seamlessly blending advanced technology with the distinctive human elements that define their workforce. In this contemporary landscape, HR assumes a novel role as a vital link between the embrace of technology and the preservation of human relations. The shift to this new way of working requires an appropriate use of technology to support and enhance existing HR capabilities, thereby increasing their flexibility and effectiveness. ... Ethical considerations comprise one of the most significant challenges while applying AI in HR, which mandates the implementation of mechanisms like equal opportunities, fair decision-making, and transparency in AI utilization in carrying out the duties. Additionally, the integration of AI into HR operations necessitates modifying change management processes to provide reassurance, organize skill preparation and training programs, and cultivate the acceptance of AI in the organization. 


Differential Privacy and Federated Learning for Medical Data

Federated learning is a key strategy to build that trust backed up by the technology, not only on contracts and faith in ethics of particular employees and partners of the organizations forming consortia. First of all, the data remains at the source, never leaves the hospital, and is not being centralized in a single, potentially vulnerable location. Federated approach means there aren’t any external copies of the data that may be hard to remove after the research is completed. The technology blocks access to raw data because of multiple techniques that follow defense in depth principle. Each of them is minimizing the risk of data exposure and patient re-identification by tens or thousands of times. Everything to make it economically unviable to discover nor reconstruct raw level data. Data is minimized first to expose only the necessary properties to machine learning agents running locally, PII data is stripped, and we also use anonymization techniques. Then local nodes protect local data against the so-called too curious data scientist threat by allowing only the code and operations accepted by local data owners to run against their data.


CIO risk-taking 101: Playing it safe isn’t safe

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. And in spite of the spate of books that extol risk-taking as the only smart path, it’s worth remembering that their authors don’t face what might be the biggest risk CIOs have to deal with every day: executive teams adept at preaching risk-taking without actually supporting it. ... ut the staff members and sponsor who annoy you the most in charge of these initiatives. Worst case they succeed, and people you don’t like now owe you a favor or two. Best case they fail and will be held accountable. You can’t lose. ... Those who encourage risk-taking often ignore its polysemy. One meaning: initiatives that, as outlined above, have potential benefit but a high probability of failure. The other: structural risks — situations that might become real and would cause serious damage to the IT organization and its business collaborators if they do. You can choose to not charter a risky initiative, ignoring and eschewing its potential benefits. When it comes to structural risks you can ignore them as well, but you can’t make them go away by doing so and will be blamed if they’re “realized”


Digital Personal Data Protection Act, 2023 - Impact on Banking Sector Outsourced Services

Regulated Entities must design their own privacy compliance program for application-based services – and not solely rely on a package provided by the SP. While the SP may add value and save costs, any solution it provides will likely be optimized for its own efficiency. Customer data management practices can differentiate a business from competitors, enhance customer trust, and provide a competitive advantage. Also, financial penalties under the DPDP are high, extending up to INR 250 crores (on the Regulated Entity as the ‘data fiduciary’ and not on the processor), apart from the reputational damage a breach or prosecution can cause, making it critical to have thorough oversight over the SP vis-à-vis privacy protection. ... For consumer facing services, in addition to security, SPs must technically ensure that the client can comply with its DPDP obligations such as data access requests, erasure, correction and updating personal data, consent withdrawal. Also, the platform should be capable of integrating with consent managers.


Why Is a Data-Driven Culture Important?

Trust and commitment are two important features in a data-driven culture. Trust in the data is exceptionally important, but trust in other staff, for purposes of collaboration and teamwork, is also quite important. Dealing with internal conflicts and misinformation disrupts the smooth flow of doing business. There are a number of issues to consider when creating a data-driven culture. ... In a data-driven culture, everyone should be involved, and this should be communicated to staff and management (exceptions are allowed, for example, the janitor). Everyone using data in doing their job should understand they are also creating data that can be used later for research. When people understand their roles, they can work together as an efficient team to find and eliminate sources of bad data. The process of locating and repairing sources of poor-quality data acts as an educational process for staff and empowers them to be proactive, taking responsibility when they notice a data flow problem. Shifting to a data-driven culture may result in having to hire a few specialists – individuals who are skilled in Data Management, data visualization, and data analysis. 


Harnessing the Collective Ignorance of Solution Architects

One key benefit of adopting an architecture platform, and having different development teams contribute and maintain their designs in a shared model, is that higher levels of abstraction can gain a wide-angled view of the resulting picture. At the context level, the view becomes enterprise-wide, with an abstracted map of the entire application landscape, and how it is joined up, both from an IT perspective, and to its consuming organizational units, revealing its contribution to business products and services, value streams and business capabilities. ... by combining the abstracting power of a modern EA platform with the consistency and integrity of the C4 model approach, I have removed from their workload the Sysyphean task of hand-crafting an enterprise IT model and replaced it with the “collective ignorance” of an army of supporters who will construct and maintain that enterprise view out of their own interest. Guidance and encouragement are all that is required. The model will remain consistent with the aggregated truth of all solution designs because they are one and the same model, viewed from different angles with different degrees of “selective ignorance”.


5 Hard Truths About the State of Cloud Security 2024

"There's a fundamental misunderstanding of the cloud that somehow there's more security natively built into it, that you're more secure by going to the cloud just by the act of going to the cloud," he says. The problem is that while hyperscale cloud providers may be very good at protecting infrastructure, the control and responsibility over their customer's security posture they have is very limited. "A lot of people think they're outsourcing security to the cloud provider. They think they're transferring the risk," he says. "In cybersecurity, you can never transfer the risk. If you are the custodian of that data, you are always the custodian of the data, no matter who's holding it for you." ... "So much of the zero trust narrative is about identity, identity, identity," Kindervag says. "Identity is important, but we consume identity in policy in zero trust. It's not the end-all, be-all. It doesn't solve all the problems." What Kindervag means is that with a zero trust model, credentials don't automatically give users access to anything under the sun within a given cloud or network. The policy limits exactly what and when access is given to specific assets. 



Quote for the day:

"Great achievers are driven, not so much by the pursuit of success, but by the fear of failure." -- Larry Ellison