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Security analyst reviewing autonomous AI pentesting results on a laptop dashboard
Artificial Intelligence

Why Security Teams Are Pulling Back from Autonomous AI Pentesting

A year ago, nearly one in three security professionals believed that fully autonomous AI systems could handle their organization’s penetration testing needs. Today, that number has collapsed to just 9%. The speed of that reversal is telling — not because AI-powered security tools have stopped improving, but because the gap between what they were marketed to do and what they actually deliver in practice has become impossible to ignore.

Microsoft data center infrastructure and cloud operations showing operational credibility in cloud security and water efficiency
Tech Market

When Cloud Competing Means More Than Speed: Microsoft’s Operational Credibility Moment

Three separate news items crossed the tech wires in the same week: a Microsoft security leadership reshuffle, a push into AI-assisted cloud resilience tools, and a fresh set of claims about data center water efficiency. Reported separately, they read like routine corporate housekeeping. Read together, they point toward something more interesting — a quiet but meaningful shift in how cloud companies compete.

Diagram of software supply chain security controls across build, registry, and runtime
Software Development

Why Scanning Every Commit Is Not Enough: A Practical Guide to Software Supply Chain Security

Imagine a team that runs automated vulnerability scans on every pull request, enforces code review for every merge, and ships containers with confidence. Then one morning, their staging environment starts behaving strangely—not because of anything their developers wrote, but because a base image they pulled two weeks ago silently contained a compromised library. The scan passed. The code review passed. The trust assumption that broke everything was made before a single line of their own code was written.

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