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Eliminating the Technical Debt Caused by AI-Assisted Software Development
The software development community is experiencing a near ubiquitous usage of AI coding tools as teams face pressure to generate more output in less time. While the huge efficiency gains from the tools help significantly, teams too often fail to incorporate adequate safety controls and practices into AI deployments. Industry leaders are pushing for comprehensive assessments that produce so‑called “trust scores”. These are composite metrics that integrate tool usage, vulnerability data and secure‑coding proficiency to quantify how products and teams influence software‑development lifecycle (SDLC) risk. Read More
Navigating AI with Cyber-Resilient Storage: Use Cases Lead, Infrastructure Enables
This article discusses how intelligent data infrastructure enables AI adoption and innovation while providing robust cybersecurity protection through features like AI-powered ransomware detection and multi-layered security approaches. The piece emphasizes that while use cases drive technology adoption, secure and resilient data infrastructure is the essential foundation that makes AI initiatives viable and protects enterprises from evolving cyber threats. Read More
Security Metrics That Matter
Introduction Organisations must move beyond reactive security postures and embrace data-driven decision-making as the sophistication and prevalence of threat actors continues to increase. For ... Read More
Rethinking Cyber Resilience in the Age of AI
AI is transforming both innovation and risk, driving advancements while enabling more sophisticated cyber threats. To achieve true cyber resilience, organizations must shift from passive data storage to intelligent, proactive defense, integrating AI-driven detection and recovery directly into the data layer to anticipate, withstand, and recover from attacks seamlessly. Read More
How ‘Verified Trust’ Is Redefining Digital Authentication in the Age of AI
When verified trust becomes embedded in every interaction, authentication transforms from a barrier into an enabler. It delivers not only protection against fraud and impersonation but also the confidence that underpins long-term relationships. Read More
What Einstein would say about AI
Einstein was talking about the concept of “technological unemployment,” the idea that technology will destroy jobs and lead to disaster. Will AI cause mass unemployment? Probably not, because when it comes to economics, Einstein was no Einstein. The vast majority of economists, including me, do not think that automation was an important cause of the Great Depression. Historically, revolutionary technologies do not generally cause mass unemployment. Of course, it’s always possible that AI will be different due to its rapid introduction. But the big picture is that innovation eventually makes society richer and not poorer. Read More