Live, Instructor-Led Programme
Agentic AI: Governance + Security
Deploy AI agents with control,security and confidence.

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?
Our advisors are here to help.
Secure your seat today.
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
- From chatbots to autonomous agents
- Agent architectures, tools and memory
- Multi-agent systems and orchestration
- Business use cases and value
- Excessive agency and unintended actions
- Prompt injection and tool misuse
- Data leakage and privacy risk
- Building an AI agent inventory
- OWASP Top 10 for LLM applications
- Attack paths through tools and integrations
- Threat modelling an agent workflow
- Prioritising mitigations
- Identity, permissions and least privilege
- Sandboxing and guardrails
- Secrets, API and integration security
- Secure deployment patterns
- Agent governance policy and approval workflow
- Roles, accountability and escalation
- Mapping to NIST AI RMF and ISO/IEC 42001
- Third-party agent platform assurance
- Human-in-the-loop design
- Testing, evaluation and red teaming
- Assurance evidence for audit
- Reporting to leadership
- Logging and observability for agents
- Detecting anomalous agent behaviour
- Agent incident response playbook
- Post-incident review and improvement
- 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.
