SEC536: Adversarial AI - Penetration Testing AI Systems


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Contact UsKey findings:
The report frames 2024 as a turning point where AI shifted from a defensive talking point to the primary accelerant on both sides of the attacker-defender divide: adversaries are using large language models to compress the vulnerability-to-exploit timeline faster than most patch cycles can respond, while defenders remain constrained by legacy technical debt, alert fatigue, and identity verification systems that were not built to withstand machine-speed deception. The consistent thread across every session, from SOC automation to zero trust identity, was that organizations still lack the tooling and AI-specific skill sets needed to keep pace with adversarial AI's current advantage. Findings were drawn from RSA Conference 2024 panel discussions moderated by SANS Technology Institute leadership, alongside third-party breach and threat intelligence data from the Identity Theft Resource Center, Verizon's 2024 Data Breach Investigations Report, and BlackBerry's year-end Global Threat Intelligence Report.


Domenica brings 20 years of mobile forensics experience supporting U.S. federal law enforcement and intelligence agencies while leading global training programs for elite investigative units including FBI and military special operations forces.
Read more about Domenica (Lee) Crognale