If the system learns how to satisfy the measurement without satisfying the real intent behind it, the score becomes much less ...

Explores where AI helps in pen testing, current limits, and how to integrate AI with human oversight, data controls, and governance.

AI pentesting can uncover vulnerabilities missed by human testers, but it also has limitations in consistency, risk ...

Data readiness depends entirely on the specific decision, review, or workflow you're counting on artificial intelligence to ...

A reviewer who approves 40 AI-drafted entries in 10 minutes has produced a signature. The auditor will ask for evidence of ...

Over the past few months, AI agents undergoing cybersecurity evaluations have escaped their boundaries, accessed the internet, and, in some cases, hacked into real-world systems. The incidents have ...

A new agent workflow grounds AI-generated acceptance tests in canonical execution and mutation testing, revealing that ...

In 2025, nearly 3 in 10 security professionals thought that fully autonomous AI systems could satisfy their companies' security-testing needs. But after a year of testing and experimentation, that ...

An AI security test reached real company systems after a naming error, revealing why organizations need stronger access controls for autonomous AI agents. An AI ...