Even risk-averse companies that readily adapt and invest in new technologies and processes encounter hurdles. One example is what is known as the ‘productivity paradox‘, which is when anticipated gains in productivity and ROI are not fully realized straightaway. When Apple, Microsoft and Dell Computer arrived on the scene in the 1980s, computer usage was limited to early adopters or those who could afford a personal computer. They did not receive widespread consumer acceptance until the mid-1990s; now, computers and smart devices are an indispensable part of society. The benefits of the computer age are difficult to gauge in simple fashion. MIT’s Nobel Prize-winning economist Robert Solow stated during the internet boom of the 1990s: “You could see the computer age everywhere but in the productivity statistics.” Why? One explanation is that GDP is an imperfect measure for capturing meaningful data and translating technology’s impact on productivity, sustainability and overall well-being. The same can be said of the Gini coefficient used to measure income distribution and economic inequality among a huge swath of the population.
In light of this coming tsunami, enterprises need to rethink their security strategies to embrace zero-trust and identity-based authentication. Both of those strategies are ones that experts recommend for dealing with risks like those posed by the ChaosDB vulnerability. And they will help prepare enterprises for future problems of the same kind, where much of the underlying architecture and processes are out of their control. "The cloud provider can become a single point of failure," said Dan Petro, lead researcher at security testing firm Bishop Fox. And as the industry moves even further toward serverless infrastructure, vulnerabilities like ChaosDB are likely to increase in occurrence and severity, he told Data Center Knowledge. "Anytime we have these highly visible, high-profile weaknesses, attackers are going to notice that, and it's going to inspire similar attacks, similar offensive research," said Mark Orlando, co-founder and CEO at Bionic Cyber; security operations instructor at the SANS Institute; and former security team manager at the Pentagon, the White House and the Department of Energy.
According to the research, industrial systems are especially open to attack when there’s a low level of protection around an external network perimeter that is accessible from the internet. Device misconfigurations and flaws in network segmentation and traffic filtering are also leaving the industrial sector particularly vulnerable. Lastly, the report also cites the use of outdated software and dictionary passwords as risky vulnerabilities. To uncover these insights, the researchers set out to actually imitate hackers and see what path they’d take to gain access. “When analyzing the security of companies’ infrastructure, Positive Technologies experts look for vulnerabilities and demonstrate the feasibility of attacks by simulating the actions of real hackers,” reads the report. “In our experience, most industrial companies have a very low level of protection against attacks.” Once inside the internal network, Positive Technologies found that attackers can obtain user credentials and full control over the infrastructure in 100% of cases.
For those who excel in cybersecurity, their interest in the topic is not a 9-to-5 thing; it’s a passion that pervades their everyday lives. To find out if that’s the case, Lindemoen likes to ask about the candidates’ home network setup. “I look for whether they’re using WPA2 vs. WPA and WEP and whether they set up a separate network for when guests use their home wireless network,” he says. “They’re simple things, but it provides some insight into how they think about security in their personal lives.” Lindemoen also asks about which cybersecurity conferences they’d most like to attend if they could, and why. Rather than naming a well-known conference, “they might mention one that’s in a niche they’re focused on or are truly passionate about.” Participation in capture-the-flag (CTF) and other cyber calisthenics events and activities is another good barometer, Glavach says. Because these programs are free, they can be even better about revealing passion than costly certifications are. “If there’s a candidate with no certifications but they participated in CTFs similar to a DEFCON CTF or a SANS Holiday Hack, that shows me they’re very committed,” he says.
It’s one thing to build a visually stunning dashboard or an intricate model with over 95% accuracy. BUT if you can’t communicate the value of your projects to others, you won’t get the recognition that you deserve, and ultimately, you won’t be as successful in your career as you should. Storytelling refers to “how” you communicate your insights and models. Conceptually, if you were to think about a picture book, the insights/models are the pictures and the “storytelling” refers to the narrative that connects all of the pictures. Storytelling and communication are severely undervalued skills in the tech world. From what I’ve seen in my career, this skill is what separates juniors from seniors and managers. ... A/B testing is a form of experimentation where you compare two different groups to see which performs better based on a given metric. A/B testing is arguably the most practical and widely-used statistical concept in the corporate world. Why? A/B testing allows you to compound 100s or 1000s of small improvements, resulting in significant changes and improvements over time.
Bias and variance are inversely connected and It is nearly impossible practically to have an ML model with a low bias and a low variance. When we modify the ML algorithm to better fit a given data set, it will in turn lead to low bias but will increase the variance. This way, the model will fit with the data set while increasing the chances of inaccurate predictions. The same applies while creating a low variance model with a higher bias. Although it will reduce the risk of inaccurate predictions, the model will not properly match the data set. Hence it is a delicate balance between both biases and variance. But having a higher variance does not indicate a bad ML algorithm. Machine learning algorithms should be created accordingly so that they are able to handle some variance. Underfitting occurs when a model is unable to capture the underlying pattern of the data. Such models usually present with high bias and low variance. It happens when we have very little data to build a model or when we try to build a model with linear features making use of nonlinear data.
Dedicated servers are a better fit for resource-heavy apps. In the world of financial services, there’s a lot of transactions going on. Virtual machines are not the best choice for such an environment, since the “virtualisation tax” prevents you from using 100% of their capacity. Another issue is the distribution of the platform’s resources between users – when one of them uses too much of the server’s capacity, their neighbours pay for it. ... Bare metal solutions are often harder to order than a virtual machine, and you must wait longer for the server to be prepared for operation. Another issue is the management of the disparate infrastructure of dedicated servers, virtual machines and clouds when purchased from different providers. G-Core Labs’ new offering, Bare-Metal-as-a-Service, solves these problems. With this service, a user can get a ready-for-use dedicated server as easily as a virtual one. Just select the right features, connect a private or public network, or several networks at once, and in a few minutes, the physical server will be ready for use.
The first calls for establishing “a unique regulatory sandbox” for fintech companies in which regulators will monitor their activities while hedging their risks, and allowing them to introduce products into the Israeli market to benefit consumers. The regulatory system proposal was coordinated by an inter-ministerial team led by the Justice and Finance ministries and included representatives from the Securities Authority, the Bank of Israel (BOI), the Capital Market Authority, the Anti-Money Laundering and Terrorist Financing Authority, and the Tax Authority. The second proposal — the one watched closely by Israeli fintech startups and the legacy banks — requires banks and financial entities to transfer information about their customers, with the customers’ approval, to technology firms that can provide these customers with information about the financial services they consume, how much exactly they are paying for them and how much they could save if they switch to another financial services provider.
Using a password manager has become a common practice for many, but it seems like there are a lot of people who unfortunately still don’t understand the risks. There are some valid concerns with using password managers in general—like losing access to your master file, having it fall into the wrong hands, or the issue with hosted services where your passwords are hosted by a third party. But all of those are minor compared to the issues that you’re bringing about by reusing passwords as an alternative. Sure, it’s convenient. But as soon as one of your accounts is compromised, you’re going to run into a lot of trouble on many fronts. And this happens more often than you might think; companies get attacked regularly, and credentials are leaked as a result. ... As an extension to the above, watch out for the kinds of contacts you make online. People might not be who they claim, and you should always keep an eye open for potential shady intentions. When you combine this with some of the above points, things can get quite scary. Some people might target you because they’ve gathered information about you from other sources, and they can make the whole interaction seem very natural and legitimate.
Upskilling is crucial to the major transition that the energy industry is currently going through. A 2020 report by EY on Oil and Gas Digital Transformation, found that 43% of respondents cite “too few workers with the right skills in the current workforce” as a major challenge to digital technology adoption. Upskilling will not only equip workers with new skills but also enable organisations to reach their digital transformation goals. By embracing the rapid change of innovation with upskilling, employers can take a proactive and agile approach to keep workforces engaged and employees focused on their own personal development. It’s not to say the skills that current workers hold are not useful for today’s needs, as many in energy industries possess transferable skills. Workers typically possess foundational knowledge in STEM fields and soft skills which can be integrated seamlessly into newer applications. For example, skills in the oil, gas and coal sectors can be brought into the growing renewable energy sector, offering a huge rise in job opportunities.
Quote for the day:
"Becoming a leader is synonymous with becoming yourself. It is precisely that simple, and it is also that difficult." -- Warren G. Bennis