60-Minute Online Briefing

Artificial Intelligence (AI) Risk Management in Federal Agencies

This 60-minute interagency briefing will provide attendees with practical guidance to assess and address AI-related risks. Attendees will learn about emerging threats and real-world case studies demonstrating how agencies can mitigate these threats while safely utilizing AI capabilities and maintaining public trust and regulatory compliance.


Your Ticket Includes

Live access via Zoom Session documents & materials Interactive Q&A Access to recording after the briefing Access to one-on-one follow-up meetings Continuing Education Certificate (by request)

Date & Time

Thursday, Jul. 9, 2026 at 11:00 AM

FREE

Speakers

Description

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.

CLP certificates provided - 1 Hour (Continuous Learning Points)

Agency Panelist Participation:

Agency participation is encouraged for this briefing. If you or one of your colleagues would like to be a contributor or panelist in this discussion, please contact support@govbrief.us or call 888-818-8726 to coordinate your participation. GovBrief provides free access to all government presenters and will distribute all accompanying documentation at no charge.

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

Important: This briefing uses a Zoom-based communication connection via your network. This briefing will be accessible via phone if you are unable to connect online and recorded versions will be distributed with closed-caption for the hearing impaired. Instructions for login will be provided upon registration.

Agenda

Topical Overview: Assessing AI Risk

How AI Risk Differs from Traditional Risk

  • Traditional Risks
  • AI Risks

The Impact of AI Risks

  • Reputational Harm
  • Cost and Compliance
  • Service Disruption

Trends in AI Risk

  • Agentic AI
  • Shadow AI
  • Prompt Injection & Data Leakage
  • Model & Data Supply Chain
  • Token & Cost Risk
  • Synthetic Media

The Impact of AI Risks

  • Reputational Harm
  • Cost and Compliance
  • Service Disruption

Agentic AI: The New Risk Frontier

  • New Ways to Fail
  • Identity Sprawl
  • New Rules

AI Risk Across the System Lifecycle

  • Data and Data Engineering
  • Model Inference
  • Model Training
  • Drift and Performance Monitoring

Risk Assessment Methodologies

  • AI Governance Standards
  • Identifying and Prioritizing Risks
  • Mapping Threats
  • Hardening Systems

Best Practices to Reduce AI Threats

  • Risk Scoring Matrix
  • AI Firewall
  • Human-in-Loop Workflows
  • Supply-Chain Hardening
  • The Walled Garden Enterprise Instance
  • Prove It, Don't Just Claim It

Building AI Risk Into Procurement

  • Federal
  • Commercial

When AI Fails: Incident Response & Recovery

  • Contain the Damage
  • See Every Agent
  • Gate Releases
  • Commercial

Next Steps and Final Remarks

Q&A