Making AI Agents Secure

Hosted by Aishwarya Srinivasan, Arvind Narayanamurthy, and Harsh Jha

Sat, May 23, 2026

3:00 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

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Building a career in AI as a non-coder
Aishwarya Srinivasan
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What you'll learn

How the agentic era breaks your existing security stack

Legacy security tools fail when AI agents write code, call tools, and make autonomous decisions at machine speed.

AI agent attacks expose missing security controls

AI attack cases and the governance controls that stop them.

Build a defender playbook with agentic security mesh

Shift from alerts to self-healing: a practical framework for AI governance your security team can run.

Why this topic matters

AI agents now write code, call APIs, and act across infrastructure with real credentials—often without oversight. Most security tools weren’t built for this. This session explores real incidents, emerging risks, and practical governance frameworks security teams can use to build visibility, control, and resilience for agent-driven systems.

You'll learn from

Aishwarya Srinivasan

AI Entrepreneur | Ex-Google, Microsoft

Most Followed Indian Woman in AI | Founder @ The Gen Academy | AI Leader | Ex - Fireworks AI, Google, Microsoft, IBM

Aishwarya has built one of the most trusted AI communities in the world with over 1 Million followers who rely on her to cut through the noice.

She spent a decade building AI at the companies that defined the modern stack Google, Microsoft, and IBM. As the head of AI Developer Relations at Fireworks AI, she worked directly at the interface businesses, builders and the infrastructure powering production-scale AI systems. She holds a Master's in Data Science from Columbia University.

Aishwarya's teaching philosophy is simple: explain the real thing, not the sanitised version. Her sessions are known for being brutally honest, technically sharp, and remarkably clear.


Arvind Narayanamurthy

AI Engineering Lead | Founder

Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM

Arvind brings a rare cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe — where he led data science teams and developed production-grade ML solutions tied to significant ARR growth.

He currently serves as AI Solutions Architect at Ema, a leading AI startup focused on agentic enterprise transformation, and is Founder of Eikos Health, an agentic scheduling platform for doctor-led clinics.

Arvind holds a Master's from Carnegie Mellon University. His teaching style emphasizes practical thinking, strong mental models, and translating AI concepts into production-ready solutions.

Harsh Jha

Founding Security Lead @ Ema

Harsh established and scaled the Information Security and Customer Trust function from the ground up at Ema, an agentic AI platform. His expertise spans AI-native security, agentic governance, hyperscale infrastructure, and regulatory compliance driven by automation and real-time checks. Previously at Elastic and Koo, with deep roots in zero-day research and securing platforms as fast as they scale.


Previously at

Google
Microsoft
Carnegie Mellon University
Columbia University
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