• Assess and secure AI agents, tool integrations, and agentic workflows while evaluating permission scoping, action-chain risk, and non-human identity frameworks.
• Design and execute advanced adversarial attack scenarios including prompt injection, jailbreaking, insecure output handling, and data leakage across retrieval pipelines.
• Partner with AI engineers to establish automated security guardrails, vector store access controls, and output filtering policies across model lifecycles.
• Audit AI Ops pipelines, vet third-party AI supply chain components, and lead model risk assessments prior to production deployment.
• Develop enterprise AI security standards and train cross-functional AppSec, SecOps, and GRC teams on AI-specific attack classes and threat mitigations.