As AI becomes deeply integrated into mission-critical operations across oil, natural gas, and the broader energy sector, security organizations are evolving their defense strategies to counter unprecedented threat vectors. Robust defense demands a multi-layered approach that harmonizes AI governance, specialized technical safeguards, and proactive, continuous validation.

AI Red Teaming has emerged as a cornerstone practice for leading security organizations to rigorously stress-test models, uncover complex vulnerabilities—from prompt injection and data poisoning to model inversion—and evaluate operational resilience. This session explores how continuous AI red teaming enables energy enterprises to proactively mitigate emerging risks, build verifiable trust in autonomous and decision-support systems, and safely scale AI adoption across critical infrastructure.