Open for Enrolment

Live, Instructor-Led Programme

Agentic AI: Governance + Security

Deploy AI agents with control,security and confidence.

Practitioner reviewing AI agent governance and security controls on a laptop dashboard

8 Weeks

6.5 hrs/week

across two class days

Instructor-Led, Virtual

C$3,000

Agentic AI Governance + Security Programme

Govern and SecureAutonomous AI Agents

This eight-week, live online programme prepares you to govern and secure autonomous AI agents. You'll learn how agents work, the new risks they introduce, and how to design governance, security controls and oversight that keep agentic AI aligned with risk, compliance and business objectives.

Proven Frameworks

NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10 and leading practices.

Practical & Applied

Hands-on exercises, templates and real-world scenarios.

Expert Instructors

Learn from practitioners who use these tools at work.

Peer Collaboration

Discuss challenges and share insights with peers.

Implementation-Ready

Leave with work you can use immediately.

Certificate of Completion

Earn a ReveCyber Certificate upon successful completion.

Agentic AI Governance + Security Programme

C$3,000

Instructor-Led, Virtual

8 Weeks

6.5 hrs/week

across two class days

Small class size

Live sessions, not recorded

Have questions?

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Places are limited.

Practical Work You Will Complete

By the end of the programme, you will build a portfolio of practical work you can apply immediately.

AI AgentInventory

Agentic ThreatModel

Agent Identity &Access Controls

Agent GovernancePolicy

Human OversightFramework

Monitoring &Logging Plan

Agent IncidentPlaybook

CapstonePortfolio

A Structured 8-Week Learning Journey

1
  • From chatbots to autonomous agents
  • Agent architectures, tools and memory
  • Multi-agent systems and orchestration
  • Business use cases and value
2
  • Excessive agency and unintended actions
  • Prompt injection and tool misuse
  • Data leakage and privacy risk
  • Building an AI agent inventory
3
  • OWASP Top 10 for LLM applications
  • Attack paths through tools and integrations
  • Threat modelling an agent workflow
  • Prioritising mitigations
4
  • Identity, permissions and least privilege
  • Sandboxing and guardrails
  • Secrets, API and integration security
  • Secure deployment patterns
5
  • Agent governance policy and approval workflow
  • Roles, accountability and escalation
  • Mapping to NIST AI RMF and ISO/IEC 42001
  • Third-party agent platform assurance
6
  • Human-in-the-loop design
  • Testing, evaluation and red teaming
  • Assurance evidence for audit
  • Reporting to leadership
7
  • Logging and observability for agents
  • Detecting anomalous agent behaviour
  • Agent incident response playbook
  • Post-incident review and improvement
8
  • Select and scope an agentic use case
  • Integrate risk, controls and oversight
  • Assemble your capstone portfolio
  • Present to a review panel

Designed for practitioners responsible for securing and governing AI in their organisations.

GRC, security, risk, compliance, audit, privacy and technology professionals. Prior exposure to AI governance or cybersecurity is helpful.