
Can Lean improve security for AI-coded software?
AI coding requires the stack be reconstructed with mathematical proofs built in — a task well suited to the Lean language. Here’s the reality.

Freelance technology writer. John's work has appeared in the The Boston Globe and Boston Herald, as well as CFO, CIO, CSO, and Inc. magazines. He is a former managing editor of the Boston Business Journal and Boston Phoenix, as well as a staff writer for Government Security News.
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AI coding requires the stack be reconstructed with mathematical proofs built in — a task well suited to the Lean language. Here’s the reality.

Delaying software upgrades creates a buffer against poisoned packages, but transitive dependencies continue to be a problem.

A new report finds weakening trust in AI-only testing — and more willingness to keep humans in the loop. Here's why.

Industry heavyweights bring new focus to vulnerabilities in the age of AI. Here’s how it might help improve security.

While this repository vector is not new, researchers have uncovered a new twist for exploiting trusted metrics to hide malicious code.

The Life and Times of Cybersecurity Professionals study highlights a trend that has accelerated as cyber has become more complex.

Agentic AI is moving the perimeter from components to data — and most strategies aren't built for that.

Disabling scripts by default closes the vector worms like Shai-Hulud rely on. Here's what the update fixes — and what it doesn't.

The standard connecting AI agents to tools and data leaves security to others. Make it a do-over.
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