Anticipating AI Regulations: Governing Agents Ahead of Time

Regulatory approaches to AI are evolving quickly, and enterprise security teams are navigating real gaps. Particularly around agentic AI deployment, which cuts across DLP, model security, and application security in ways existing frameworks don't fully address.

The Trump Administration's recent AI Executive Order is the latest signal of where domestic policy is heading: hardening federal systems, establishing a voluntary framework for frontier model developers, and strengthening enforcement against AI-enabled cybercrimes. It's a useful lens for understanding the direction of future regulatory focuses.

Join us on July 30 at 11am ET / 8am PT to work through what this means in practice:

• Why regulatory bodies are moving to specifically address agentic AI security - and what's driving the urgency
• How federal agencies are currently prioritizing AI-related risk, and what enterprise security teams can take from that approach
• Where existing regulations leave gaps around AI agents, and what steps teams can take now to prepare for compliance requirements
• How increased oversight and new developer partnership frameworks may affect how frontier models are built and deployed

Taylor Roberts

Principal AI Security Policy Analyst

Daria Bahrami

Head of Policy at Dreadnode

Anjelica Dortch

VP, Operational Risk & Policy at ICBA