Your AI Agent Has Tools. Can You Trust It?

Hosted by Dr Ankur Narang and Kush Khurana

Thu, Aug 20, 2026

3:00 PM UTC (45 minutes)

Virtual (Zoom)

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Build Production AI Agents for 10x-100x ROI
Dr Ankur Narang, Kush Khurana, and Dr Aveek Brahmachari
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What you'll learn

Identify Agent Security Risks

Recognize prompt injection, tool abuse, data leakage, excessive permissions and unsafe autonomous actions.

Design Least-Privilege Agent Access

Structure tool and API permissions so agents receive only the authority needed for each workflow.

Enforce Security Beyond Prompts

Use deterministic policies, approval gates and controls outside the LLM to block unsafe actions.

Test Agents with Security Evals

Build adversarial evals for prompt attacks, policy bypass, tool misuse and sensitive-data exposure.

Why this topic matters

As AI agents gain access to enterprise data, APIs and tools, security failures can trigger real-world consequences. Production teams must protect against prompt injection, tool abuse, data leakage and unsafe actions using least privilege, deterministic policies, approval gates and adversarial security evals.

You'll learn from

Dr Ankur Narang

Dr. Ankur Narang brings 30+ yrs exp in AI, Tech across MNCs & many verticals

Dr. Ankur Narang is the Founder of DeepCoreX Labs and brings 30+ years of experience across AI, technology leadership, venture building, enterprise transformation, and applied R&D. He has held senior AI and technology roles across research labs, startups, and large enterprises, and has worked on AI systems, decision science, agentic workflows, and deeptech venture creation.

Kush Khurana

AI & ML leader; Venture Partner, DeepCoreX; Ashoka faculty

Kush Khurana is an AI/ML leader, Venture Partner at DeepCoreX, and Visiting Professor at Ashoka University. He has 12+ years of experience building production AI systems, leading technical teams, and shaping AI-native products. He works with founders and learners to turn frontier AI and deep-tech ideas into practical, scalable systems.

IBM; Oracle; Meta; Apparel Group; Hike

Oracle
Meta
Apparel Group
Yatra
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