SEC536: Adversarial AI - Penetration Testing AI Systems


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The integration of AI in penetration testing promises to revolutionize cybersecurity assessments. Machine learning algorithms will automate vulnerability discovery, enabling real-time identification and exploitation of security weaknesses.
AI-powered tools will adapt to evolving threat landscapes, learning from each engagement to improve accuracy and coverage. While human expertise remains crucial for strategic decisions and complex scenarios, AI assistants will enhance testing efficiency, provide deeper insights into system vulnerabilities, and help organizations maintain stronger security postures.


SANS instructor Aaron Cure brings decades of experience from development to penetration testing, teaching students how real-world web and cloud attacks work, and how to defend against them effectively.
Read more about Aaron Cure