Recent headlines have exposed a critical vulnerability in modern AI: autonomous agents are becoming a prime target for remote execution exploits and data supply-chain attacks. When we define an agent’s runtime behavior using external, unprotected Markdown files, while leaving static credentials exposed in plain text, we inadvertently create a powerful insider threat. The leap from a helpful AI assistant to a rogue execution vector that can corrupt a data warehouse or leak security keys is alarmingly short.

Join us to learn how these exploits happen and how to build zero-trust security boundaries to stop them cold. We will walk through an incremental demonstration starting with a data analyst agent managing datasets across a data lake, watching an adversarial process hijack it in real time, and deploying the cryptographic design patterns required to protect enterprise data infrastructure.

Who Should Attend?

This session bridges high-level strategy with practical engineering patterns, making it highly valuable for:

Leadership & Enterprise Groups looking to safely govern AI adoption and evaluate organizational risk.
Data Engineers & Cloud Architects building pipelines across modern data lakes and warehouses.
Students & Aspiring Developers eager to learn industry-standard security patterns early in their AI engineering journey.

Register Here:
https://www.ozkary.com/p/event-dark-side-of-autonomous-agents.html