Autonomous AI agents are transforming the enterprise: reasoning, planning, and acting across systems with minimal oversight. But as they access sensitive data and workflows, traditional security controls fall short. Permissions alone can’t ensure proper alignment or accountability.

The Agent Integrity Framework – 2026 Edition defines a security model built for autonomous AI. Developed with enterprise security leaders, it describes how to continuously verify intent, monitor agent behavior, and enforce alignment in real time.

Inside, you’ll discover:

• A practical framework for securing autonomous AI agents at scale
• The five pillars of Agent Integrity: intent, identity, behavior, transparency, and auditability
• Why legacy controls (CASB, DLP, IAM) fail in agent-driven environments
• How Intent-Based Access Control (IBAC) prevents semantic privilege escalation
• A five-level maturity model to operationalize agent governance and enforcement

Download the white paper to learn how to securely scale AI agents across your enterprise—with integrity built in.