Threat Vector | The Four Horsemen of Agentic Risk

dmoulton — Thu, 26 Mar 2026 15:00:00 GMT

Your AI agent just wiped an entire email inbox and said sorry. That's not a hypothetical. It already happened.

Sailesh Mishra, Product Marketing at Palo Alto Networks and founder of SydeLabs (acquired by Protect AI), has spent years at the frontier of AI security, from scaling autonomous vehicle programs at Uber's Advanced Technologies Group to building and selling an AI red-teaming startup. He has a clear-eyed view of what autonomous agents can do, what they can be made to do, and what organizations are dangerously unprepared for.

You'll learn:

Why the "lethal trifecta" of AI risk gains a fourth, more dangerous dimension when agents have persistent memory
How attackers can plant a logic bomb inside an agent's memory using entirely benign inputs, then trigger it later
What "identity" means for a piece of software, and why scoping agent behavior is the single most impactful security control
Why indirect prompt injection is already happening in the wild, not just in research papers
The two questions every CISO must answer before authorizing an autonomous agent deployment

This episode is essential listening if you're a CISO evaluating your first autonomous agent deployment, a developer building agentic systems today, or a security practitioner trying to get ahead of a threat landscape that is moving faster than anyone expected.

Related Reading

Related Episodes:

Securing the Future of AI Agents

Inside AI Runtime Defense

Securing AI in the Enterprise

Join the conversation on our social media channels:

Website: ⁠⁠⁠⁠https://www.paloaltonetworks.com/
Threat Research: ⁠⁠⁠⁠https://unit42.paloaltonetworks.com/⁠⁠⁠⁠
Facebook: ⁠⁠⁠⁠https://www.facebook.com/LifeatPaloAltoNetworks/⁠⁠⁠⁠
LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/company/unit42/⁠⁠⁠⁠
YouTube: @paloaltonetworks
Twitter: ⁠⁠⁠⁠https://twitter.com/PaloAltoNtwks⁠⁠⁠⁠

article Threat Vector | The Four Horsemen of Agentic Risk in Threat Vector

Threat Vector | The Four Horsemen of Agentic Risk