SANS paper on AI-powered penetration testing
Original title: AI-Powered Penetration Testing: How Autonomous Offensive Security Works
Autonomous AI systems enable continuous offensive security validation as environments change.
The SANS Spotlight paper examines how AI-powered penetration testing overcomes limitations of traditional point-in-time assessments. It combines deterministic techniques, rule-based reasoning, machine learning, and LLMs to support autonomous testing within defined boundaries. The approach supports discovery, exploit validation, chained attack paths, and continuous validation triggered by infrastructure changes.
- AI enables ongoing rather than one-time testing
- Systems integrate multiple AI components for autonomy
- Focus on demonstrated business impact for remediation
- Human oversight sets objectives and boundaries
- Organizations
- SANS
From the original article
1 min read at horizon3.ai
Your Environment Changes Every Day. Can Your Penetration Testing Keep Up? Traditional penetration tests provide valuable insights, but their findings reflect a moment in time.
By Chelsea Willis · horizon3.ai
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.