Continuous Compliance for AI Agents: Audit Trails, Evidence, and Regulatory Readiness
Meeting EU AI Act, NIST, and sector rules when agent behavior is emergent
AI agents plan, decide and act on their own — which makes point-in-time compliance checks inadequate. Learn how to build audit trails, collect evidence and stay regulator-ready continuously.
About This Webinar
As organisations move from AI assistants to autonomous AI agents, governance and compliance need to evolve with them.
AI agents can plan, use tools, access data and take actions across enterprise systems. This creates new questions around auditability, accountability, human oversight, evidence and regulatory readiness.
This free live webinar introduces the key principles of AI governance and continuous compliance for agentic AI, with a focus on frameworks, controls and engineering practices that organisations can use as they scale AI adoption.
Frameworks & Standards We’ll Explore
The session introduces key frameworks and standards that can help organisations think about AI governance, risk management and regulatory readiness as AI systems move into production.
EU AI Act
Understand the regulatory landscape and what organisations need to consider as AI systems move into production.
The EU AI Act is being applied in phases, with different provisions taking effect according to the implementation timeline.
NIST AI RMF
Understand how AI risk management can be structured around trustworthy AI throughout the lifecycle.
NIST describes the AI RMF as a voluntary framework for managing AI risks and incorporating trustworthiness considerations into AI systems.
ISO/IEC 42001
Explore the AI management-system perspective for organisations establishing, implementing and continually improving an AI Management System.
These frameworks and standards will be explored as part of the webinar to help participants understand the governance and compliance considerations surrounding AI agents. The session is educational and does not constitute a certification or guarantee of regulatory compliance.
What You’ll Walk Away With
- Why agents break traditional compliance — emergent behavior, tool use and autonomy versus static controls.
- Audit trails that hold up — what to capture: prompts, plans, tool calls, decisions and human approvals.
- Evidence by design — continuously collecting evidence instead of scrambling before an audit.
- Regulatory mapping — how EU AI Act, NIST AI RMF and sector rules translate into agent controls.
- Human oversight and guardrails — approval points, limits on autonomy and escalation paths.
- A practical readiness checklist — the first steps to take with your own agent deployments.
Who Should Attend
Technology & AI Leaders
Responsible for deploying agents safely at enterprise scale.
Risk, Compliance & Governance Professionals
Preparing for AI regulation and audit requirements.
Architects & AI/ML Engineers
Building agentic systems that must be observable and auditable.
Security & Data Professionals
Managing access, data and accountability for autonomous systems.
No legal background required. Familiarity with AI agents or LLM applications is helpful.
90-Minute Agenda
- From assistants to autonomous agents
- Emergent behavior and why it matters for assurance
- Key obligations relevant to agentic systems
- Risk classification and what it means in practice
- What to log and how long to keep it
- Traceability across plans, tools and decisions
- Evidence collection as a continuous process
- Guardrails, human oversight and escalation
- Monitoring, testing and drift detection
- First steps for your organization
- Live Q&A
Meet Your Facilitator
Are Your AI Agents Audit-Ready?
Learn to build continuous compliance into agent operations. 90 Minutes | Free | Live Virtual