March 28, 2024
Kannan Subbiah
FCA | CISA | CGEIT | CCISO | GRC Consulting | Independent Director | Enterprise & Solution Architecture | Former Sr. VP & CTO of MF Utilities | BU Soft Tech | itTrident
Evidently, there are many commonalities across these domains when it comes to current obstacles and opportunities for digital twins — but at the same time, there is also variability in how digital twins are perceived and used depending upon the specific challenges faced by each research community. Accordingly, the National Academies of Sciences, ... The report — recapitulated by Karen Willcox and Brittany Segundo in a Comment — proposes a cross-domain definition for digital twins based on a previously published definition and highlights many issues and gaps also echoed by some of the manuscripts in the Focus, such as the critical role of verification, validation, and uncertainty quantification; the notion that a digital twin should be ‘fit for purpose’, and not necessarily an exact replica of the corresponding physical twin; the need for protecting individual privacy when relying on identifiable, proprietary, and sensitive data; the importance of the human in the loop; and the need of sophisticated and scalable methods for enabling an efficient bidirectional flow of data between the virtual and physical assets.
Data stewardship is an important concept in data governance that is crucial for creating a culture of accountability and transparency around data management. Data stewards are intermediaries between IT and business units, ensuring that data quality is up to the established standard. In principle, data stewardship creates actors within the organization who are interested in and can be held accountable for data management. This helps mitigate data-related risks and maximize the value of data assets. Appointing data stewards alone doesn't fulfill the accountability cycle. Real accountability in data governance goes beyond the operational level. It needs senior management's active involvement. The sophistication and complexity of the accountability and management structures around data governance depend on the data they will govern. Banks are considered to be enterprises with the highest level of data complexity with an additional challenge of regulatory maneuvers. However, the governance infrastructure's exact scale varies with the bank's size.
Even if the deal goes through, Microsoft could still dominate AI. It has a substantial lead in AI, and it’s not taking anything for granted. OpenAI has been quickly releasing new, more powerful versions of GPT — version 4 was released in 2023, and it looks as if a “materially better” version 5 will be available this summer. So ChatGPT and Copilot are constantly becoming more powerful. In addition, Microsoft just hired Mustafa Suleyman, co-founder of DeepMind, which was bought by Google in 2014 and which ultimately became Gemini. After Suleyman sold DeepMind, he founded another AI startup, Inflection AI, and Microsoft has hired not just Suleyman, but nearly the entire AI staff of Inflection, including its chief scientist Karén Simonyan. Microsoft now has the best AI talent in the world either on staff or working for OpenAI. Microsoft has also been busy monetizing AI. Copilot is now built into the company’s entire product line, offered as a fee-based add-on. Microsoft can plow that revenue back into research. And, of course, it’s not a foregone conclusion that Google and Apple will make a deal. Even if they do, it’s not clear how well it will work.
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‘ShadowRay’ vulnerability on Ray framework exposes thousands of AI workloads, compute power and data
The vulnerability was disclosed to Anyscale along with four others in late 2023 — but while all the others were quickly addressed, CVE-2023-48022 was not. Anyscale ultimately disputed the vulnerability, calling it “an expected behavior and a product feature” that enables the “triggering of jobs and execution of dynamic code within a cluster.” ... Ray doesn’t have authorization because it is assumed that it will run in a safe environment with “proper routing logic” via network isolation, Kubernetes namespaces, firewall rules or security groups, the company says. This decision “underscores the complexity of balancing security and usability in software development,” the Oligo researchers write, “highlighting the importance of careful consideration in implementing changes to critical systems like Ray and other open-source components with network access.” However, disputed tags make these types of attack difficult to detect; many scanners simply ignore them. To this point, researchers report that ShadowRay did not appear in several databases, including Google’s Open Source Vulnerability Database (OSV). Also, they are invisible to static application security testing (SAST) and software composition analysis (SCA)
David Lees, CTO of Basis Technologies, says impactful storytelling by CTOs can help demonstrate a complete understanding of stakeholder needs. “Most CTOs know their technological offerings inside and out, and how they can help the organization in the immediate and longer term,” he says. However, CTOs will need to communicate their expertise in a way that is accessible to other C-suite members in non-tech departments, turning complex, jargon-heavy ideas into simpler narratives. Gaining inspiration from stakeholders is not a one-size-fits-all exercise, so an in-depth knowledge of everyone empowers CTOs to tailor their communication on a case-by-case basis. Some employees or investors are motivated by facts and figures, for example pointing out how recent upgrades have doubled service speeds in comparison to a competitor. ... Petrovskis says he recommends ditching whitepapers and reading case studies, but most important is to get out in front of your customers. “Don’t get me wrong, there’s a time and place for whitepapers, but they don’t really provide the real feel of customer issues and understanding the issues your customers face will allow you to be far more relatable to the audiences you’re trying to reach,” he explains.
Certainly, the regulations surrounding the use of personal data have evolved significantly since the Cambridge Analytica scandal, in which a British consulting group obtained personal data from millions of Facebook users without their consent for political advertising purposes. Both Meta (Facebook’s parent company) and Google have introduced privacy guides — albeit somewhat intricate — aimed at empowering users to prevent a recurrence of such a notorious incident. Yet, while tech giants like Google and Facebook can readily afford the expenses associated with robust privacy measures, it raises concerns about the potential burden imposed on innovative but underfunded startups. Fledgling entities, brimming with promising ideas, may find themselves constrained by the necessity for extensive privacy controls, hindering their abilities. For tech businesses, adapting to these privacy laws can mean increased compliance costs and potential innovation delays. For consumers, while their data rights are better protected, the experience of using digital services may become more cumbersome due to consent requirements.