Artificial Intelligence (AI) Risk Management in Federal Agencies

On-Demand Recording Interagency Briefing Recorded July 9, 2026

Federal agencies are under increasing pressure to deploy Artificial Intelligence (AI) capabilities while maintaining security, transparency, compliance, and public trust. As agencies accelerate AI adoption, leaders must establish practical approaches to identify, assess, prioritize, and mitigate AI-related risks across the entire AI lifecycle.

Pursuant to Executive Order (EO) 14179 Removing Barriers to American Leadership in Artificial Intelligence, and OMB Memo M-25-21, federal agencies are required to accelerate adoption of AI. At the same time, EO 14409 Promoting Advanced AI Innovation and Security lays out the importance of mechanisms such as The NIST AI Risk Management Framework (AI RMF) that aims to establish frameworks, risk management practices, and mechanisms that ensure AI systems are secure, transparent, accountable, and aligned with mission objectives. 

This 60-minute briefing helps agency AI stakeholders close that gap. Participants will leave with a clear, defensible way to find, score, and rank AI risk across a model's full life, from data and training to use and monitoring. The method maps to the NIST AI RMF and the M-25-21 rules for high-impact AI and we will turn the M-25-22 procurement rules into plain contract terms. This will help your AI team build risk controls into contracts before award, not after. Presenters will provide insight on live threats and use real agency cases. Trust and speed are not a trade-off. This session will show you how to keep both.

What You'll Learn:

Attendees will learn how to:

  • Assess AI risk across the AI lifecycle
  • Identify and prioritize high-impact AI risks
  • Align AI governance programs with the NIST AI Risk Management Framework
  • Address prompt injection, data leakage, model drift, and shadow AI risks
  • Build AI risk controls into contracts, procurements, and acquisition strategies
  • Develop practical AI incident response and recovery plans
  • Translate AI governance requirements into acquisition language, evaluation criteria, and contract controls.

Why Attend

Federal agencies are increasingly expected to accelerate AI adoption while maintaining compliance, security, and mission effectiveness. This briefing provides practical guidance for balancing innovation with responsible risk management and offers actionable strategies that can be immediately applied within federal programs and acquisitions.

Recommended attending personnel:

This briefing is recommended for:

  • CIOs, CISOs, and Chief AI & Data Officers
  • AI governance, cybersecurity, risk management, and compliance personnel
  • Program managers and technology decision-makers
  • Contracting officers, acquisition professionals, and procurement personnel

Feedback:

  • "It was good, I learned a lot about AI that I didn't know so this was helpful."
  • "I enjoyed it thoroughly and I appreciate how it was broken down well fundamentally. Awesome webinar!"
  • "Quite good. It provided several ideas to pursue in my work and planned implementation of AI to automate routine processing tasks and decision making."

2 speakers on this recording.

Matthew Sweatt
Matthew Sweatt
Vice President of Federal Solutions · DivIHN Integration Inc.
Sai Rakshith
Sai Rakshith
Cybersecurity Solutions Consultant · DivIHN Integration Inc.
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Recorded July 9, 2026
Format On-demand recording
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