Enterprise AI Security and Governance Summit 2026

Autonomous AI agents are reshaping enterprise operations. Their advanced reasoning can design and execute multi-step, high-privilege workflow actions. This makes the logic layer vulnerable to goal hijacking, indirect prompt injection and unauthorized tool use. As the EU AI Act takes effect and boards require clear accountability, failures at the logic level carry heavy consequences.

Traditional controls can't monitor or validate the complex decision loops of autonomous agents. Enterprises need a deterministic control plane that separates reasoning from execution and verifies intent before actions occur. This control plane should also enforce policies that are testable, auditable, and aligned with NIST AI RMF and ISO/IEC 42001 standards.

This session presents actionable architectures that allow CIOs, CISOs, and architects to deploy agentic AI quickly while maintaining oversight.

Join Eugina Jordan, CEO and Co-Founder at YOUnifiedAI, to discover proven blueprints, practical implementation patterns and get a 90-day roadmap for deploying secure, audit-ready AI agents at scale.

Key Takeaways
- Pinpoint where to enforce controls across the four-layer stack: Model, Reasoning, Execution, and Enterprise Logic.
- Treat agents as managed identities by enforcing least privilege, just-in-time authorization, and API contracts that strictly define tool access.
- Defend against advanced threats by applying I/O filtering and provenance controls to counter indirect prompt injection, tool hijacking, and logic-level exploits.
- Adopt a reference architecture and measurable metrics to pilot, strengthen, and scale agentic AI deployments with clear audit evidence.