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Secure AI Research
Learn to align AI research with secure principles to ensure due care and faster approvals. You will prioritize adversarial risks using MITRE and OWASP LLM Top 10, design data protection controls for privacy and integrity, build an evaluation process, select safe integration patterns, and communicate risk to review boards with audit-ready artifacts.
Course Content
Learn to align AI research with NIST AI RMF and the GenAI Profile to ensure due care and faster approvals. You will prioritize adversarial risks using MITRE ATLAS and OWASP LLM Top 10. Design data protection controls for privacy and integrity. Build a repeatable evaluation harness to test utility, safety, cost, and latency. Select safe integration patterns for production experiments and communicate risk to review boards with audit-ready artifacts.
Course Objectives
At the end of the course, you will be able to:
- Map AI research work to NIST AI RMF and the NIST GenAI Profile. You will be able to align experiments to risk functions and profile tasks so stakeholders see due care. Why it matters: alignment reduces blind spots and shortens approval cycles.
- Identify and prioritize adversarial and misuse risks using MITRE ATLAS and OWASP Top 10 for LLMs. You will be able to turn abstract threats into prioritized abuse cases. Why it matters: you focus limited testing time on the highest impact failure modes.
- Design data protection controls that preserve privacy, integrity, and provenance. You will be able to govern data flows, DLP gates, and lineage. Why it matters: most AI incidents start with data misuse or tainted inputs that were not governed.
- Build a repeatable evaluation harness that tests utility, safety, cost, and latency. You will be able to define measurable gates and pass thresholds. Why it matters: consistent gates raise model quality and prevent regressions.
- Select safe integration patterns and monitoring for production adjacent experiments. You will be able to choose among sidecar, router, and agent patterns with clear tradeoffs. Why it matters: architecture choices drive security, reliability, and operating cost.
- Communicate risk and controls to security review boards with audit ready artifacts. You will be able to present concise, evidence backed decisions. Why it matters: clear evidence lowers MTTA for approvals and accelerates delivery.
