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Graduate School USA

AI Security Foundations Certificate Program

via Graduate School USA

Overview

AI now counts as part of every agency's attack surface and every agency's compliance obligation. This program builds working AI security literacy across the cyber workforce, then develops the governance program a federal agency actually needs, rooted in the NIST AI Risk Management Framework, the OWASP Top 10 for LLM Applications, MITRE ATLAS, and federal AI policy.

Prepares you for: agency AI security and governance roles, and preparation toward the IAPP AI Governance Professional (AIGP).

Syllabus

AI Security Fundamentals for the Cyber Workforce Course

  • Explain what makes AI/ML systems a security attack surface
  • Tell traditional ML, generative AI, LLMs, and AI agents apart
  • Find your way around the AI threat landscape using MITRE ATLAS
  • Threat-model LLM applications against the OWASP Top 10 for LLM Applications
  • Weigh the risks that autonomous AI agents and excessive agency introduce
  • Put the NIST AI Risk Management Framework to work (Govern, Map, Measure, Manage)
  • Apply baseline AI defenses: inventory, input and output filtering, least-privilege tool access, monitoring, and human review gates

AI Security & Governance for Government Course

  • Find your way through federal AI policy, roles, and governance structures
  • Put the NIST AI Risk Management Framework to work (Govern, Map, Measure, Manage)
  • Build AI system inventories and sort AI use cases by risk
  • Bring data governance, privacy, and information-protection practices to bear on AI
  • Secure the AI development and acquisition lifecycle
  • Recognize the threats facing machine learning and generative AI systems
  • Establish testing, evaluation, validation, and human oversight
  • Manage third-party AI, supply-chain risk, and federal procurement
  • Run continuous monitoring, incident response, and accountability for AI

Taught by

Wes Bryan and Chuck Moore

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