Exploring the limits, opportunities, and risks of generative AI through a wild experiment
Learn how to integrate AI into the SOC safely with tiered autonomy, strict guardrails, and phased rollout to reduce risk and improve the speed of your response.
Read Full ArticleVeracode’s 2026 GenAI Code Security Report reveals AI-generated code still lags on security, with 44% of outputs introducing vulnerabilities.
UNAM’s AI exam proctoring failed spectacularly, forcing 58,000 students to retake tests after widespread cheating slipped past the system.
Anthropic found Claude models accessed real company systems during misconfigured cyber tests, raising legal and accountability questions over AI hacking.
A satirical take on résumé prompt injection, AI hiring systems, and why applicants who game ATS tools may look oddly future-ready.
Why AI trust is a security myth: learn how zero trust, NIST, OWASP, and MITRE controls reduce overreliance and AI risk.
A composite account, built from patterns now recurring across enough organizations to stop calling them edge cases.
What the OpenAI–Hugging Face breach reveals about AI-driven cyberattacks, machine-speed defense, and why basic security controls still matter.
Not hypothetical. Not science fiction. Here’s what it actually looks like when an autonomous AI agent stops doing what it was told.
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