Category: Tidbits

In an enterprise AI system, we use already established role-based access control as a reference to perform actions.  In theory, and to an extent, that should be enough. The rule is simple: if an employee or a user has permission to a document, the system allows it; otherwise, the access is blocked.  The problem with

There’s a specific kind of compliance theater that anyone who’s worked in enterprise security will recognize. It’s quarterly access review season. A manager opens their inbox, sees 400 certification tasks due by Friday, and starts clicking “Approve” — not because they’ve reviewed anything, but because the deadline is real and the access list is incomprehensible.

Three years ago, your team built a payment integration. It worked fine. Then you moved to a better solution, shipped the new version, and everyone got busy with the next thing. Nobody filed a formal ticket to shut the old one down. Nobody even thought to. That endpoint is probably still running right now.

This article examines the convergence of artificial intelligence and cybersecurity, highlighting the importance of the human factor in the development and management of these technologies. The document addresses the integration of artificial intelligence with quantum computing, highlighting the shift in cybersecurity from a reactive to a proactive stance via AI-enhanced threat hunting techniques. The article

Your team just shipped an AI-powered feature. You scanned the code. Passed SAST. Reviewed the PR. Green across the board.  But here’s what you probably didn’t scan: the model weights. The agent framework. The dataset lineage. The MCP server that your agent calls at runtime. 

CI/CD pipelines are the foundation of modern software delivery. Every code change, no matter how small or large, always goes through automated build, test, and deployment workflows prior to production delivery, and then becomes available to end users. These CI/CD pipelines are connected with several systems. They are connected with different external systems, including image

The rise of agentic AI isn’t just changing how we build software it’s fundamentally breaking our assumptions about identity, access, and accountability. As engineers, we’ve spent decades building identity systems around a simple premise: users are humans. That premise is now obsolete. The Identity Model We Built Is Already Broken Traditional IAM, PAM, and SSO

In highly automated engineering environments, the modern CI/CD pipeline has become a critical trust boundary. Every commit, build, and deployment represents an implicit decision to trust. If that trust is compromised, the pipeline does not just fail; it faithfully delivers compromise at scale. While a significant amount of security effort still centers on production defenses,

Editor’s Note: The following article is the full-length version of the article, “How AI Is Rewriting the Rules of Software Security: Machine-Speed Delivery, Shifting Risk, and New Control Points.“ AI has hit the gas pedal on software delivery. We are shipping more code, more often, and relying on automated logic and external dependencies, which expands

Testing is learning through questioning and acting upon questions and answers. The importance of our questions and their answers determines testing value. There is a truth hidden behind this perspective: Feedback is at the core of testing. Testing is valuable to the extent that it generates feedback. It is valuable to the extent that it