Agentic AI Governance – A Practical Workshop for Governing Autonomous AI | Akitra Academy

Missed the Agentic AI Governance workshop? Here’s your chance to catch up. This session, held on April 30, 2026, focused on how organizations can move beyond traditional AI governance and start building real, audit-ready assurance for autonomous AI systems. Led by Dr. Ravi Lingarkar, the workshop explored how agentic AI systems those that plan, take actions, and interact with tools—introduce entirely new risk models that require structured control and continuous evidence. Instead of focusing only on policies, the session introduced a practical assurance-driven approach, helping participants understand where AI risks actually occur—such as tool misuse, identity abuse, and context manipulation—and how to manage them effectively. The workshop also walked through a simple but powerful framework—Discover → Govern → Constrain → Observe → Respond—enabling teams to continuously monitor, control, and prove the safety of AI agents. Through real-world scenarios and interactive exercises, participants learned how to make critical decisions like Allow, Block, or Allow with controls, while identifying the exact evidence needed to stay audit-ready. The session concluded with a practical 30/60/90-day roadmap, helping teams take immediate steps toward building a scalable AI assurance program. If you're working in cybersecurity, GRC, compliance, or engineering, this workshop gives you a clear, actionable path to govern autonomous AI systems with confidence. Start learning and explore more expert-led courses: https://bit.ly/akitra-courses-yt #AgenticAI #AIGovernance #AICompliance #CyberSecurity #GRC #RiskManagement #AITrust #AIAssurance #ResponsibleAI #AIControls #SecurityLeadership #TechLearning #AkitraAcademy