AI Security & Governance Review with Rakesh Khanduja

Secure your AI application before it becomes a security problem.

AI agents introduce new attack surfaces across identity, data, prompts, tools, APIs and autonomous actions. This session helps you understand where your AI system is exposed and what controls you should put in place.

We’ll review:

1. Agent identity and authorization
2. Least-privilege access
3. Data security and sensitive information
4. Prompt injection and context attacks
5. Tool, API and MCP security
6. Guardrails and runtime policies
7. Auditability and observability
8. Human oversight and runtime controls

You’ll get:

1. Security risk assessment
2. Key attack surfaces and gaps
3. Recommended controls
4. Security architecture direction
5. Prioritized remediation roadmap

Best for: AI products, agents, RAG applications and enterprise AI systems moving toward production.