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Workshop Overview
AI agents aren’t just tools. They plan, call tools, and execute actions. These autonomous systems now operate with real permissions within enterprise environments, introducing a new operational blast radius.
Can we prove our agents are safe, controlled, and auditable?
This is about controls, evidence, and operational enforcement.
Workshop Outcomes
Understand how Agentic AI differs from GenAI chatbots and why this impacts governance.
Learn a repeatable governance loop
Discover → Govern → Constrain → Observe → Respond.
Identify where real-world agent incidents happen, such as goal hijack, tool misuse, and context poisoning.
Participate in a live Agent Governance Drill that lets you make decisions on real-world scenarios.
Walk away with a 30/60/90-day roadmap to establish Agentic AI Governance in your organization.

VP of Product Management, Akitra
Ravi Lingarkar is a technology leader with over 25 years of expertise in engineering and management, specializing in AI/ML and cybersecurity. Holding a Ph.D. in Electrical & Computer Engineering from McMaster University, Canada, he’s recognized for developing innovative internet security products and cloud services. His career spans significant roles in large corporations like McAfee and Nortel and venture backed companies like Whitetree Networks, Berkeley Networks, and Celestix Networks. Ravi has contributed to an IPO and two successful business exits.
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