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Security practitioners face twin pressures as artificial intelligence enters everyday penetration testing.  Teams use AI to discover weaknesses faster while also checking the AI systems their organizations introduce.  New findings from Pentest-Tools.com show demand already outstrips capacity for most groups.  Nearly nine out of ten practitioners who have generated findings with AI report that the results need substantial manual checking.[1]

Among 147 respondents who had used such tools, 87.8% sa

AI is absorbing the volume of work that makes up the fundamental architecture of the Security Operations Center (SOC) tier system.  While the tiers and the work aren’t going away, a junior and senior analyst’s day-to-day is changing fast.  At some point in the last week, every analyst on your team made the same call.  Close an uninvestigated alert, because the queue was too long and triage ate the time real investigation and deep analysis were needed.  Most of those calls were right, but odds ar

In our connected world, people rely on cryptographic libraries to keep messages, transactions, and identities safe from prying eyes and to ensure that the messages can be trusted.  When a library carries the label of formal verification, many assume that a computer has exhaustively confirmed every detail of its behavior.  A close examination of several widely adopted libraries shows that this assumption often rests on a less complete foundation than the label suggests.[1]

Formal verification app

Hacking Moltbook: The AI Social Network Any Human Can Control - Moltbook, the weirdly futuristic social network, has quickly gone viral as a forum where AI agents post and chat.  But what researchers discovered tells a different story and provides a fascinating look into what happens when applications are vibe-coded into existence without proper security controls.

Analysts at Wiz Research identified a misconfigured Supabase database belonging to Moltbook, allowing full read and write access to a