Securing the Agentic Enterprise

The security model your enterprise was built on assumed humans interact with data, attackers exploit humans, and your team defends the perimeter in between. AI agents just ended that assumption.

Acting with human credentials at machine speed, AI agents now draft contracts, triage tickets, and move files across your systems—but without the judgment, training, or accountability the people behind them operate under. Meanwhile, nearly half of employees are feeding sensitive data to personal AI accounts, developers are handing coding tools broad access to internal systems, and the policies meant to govern all of it remain unknown to the vast majority of the workforce. The result is a measurable 29-point readiness gap: 69% of security leaders expect AI-driven attacks within the year, yet only 40% have a strategy to meet them.

This vendor-neutral framework gives security and technology leaders a structured way to close that gap. Inside, you'll find an analysis of the six threat vectors defining the AI security landscape in 2026, a six-principle framework for building an enterprise AI security posture, a four-level maturity roadmap, and practical guidance for the board and C-suite conversations these decisions now demand. The through-line is a single, actionable insight: AI agents are not a separate technology category to be contained—they are an extension of the human risk you already understand, and the controls you've built for human risk are the right foundation for governing them.

The decisions you make about AI security architecture over the next twelve to eighteen months will be far harder to reverse than to get right the first time. Read the full white paper to define your posture before an incident forces the conversation.