Proofpoint, Inc. announced Proofpoint AI Security, the industry?s newest security solution that combines intent-based detection, multi-surface control points, and a comprehensive implementation framework to secure how humans and AI agents use AI across the enterprise. Based on the industry-first Agent Integrity Framework, which defines how an AI agent operates with integrity, Proofpoint is introducing a five-phase maturity model for implementation, from initial discovery through runtime enforcement. Proofpoint AI Security closes this gap by applying intent-based detection models, continuously evaluating whether AI behavior, initiated by a human or an autonomous agent, aligns with the original request, defined policies, and intended purpose.
By analyzing the full semantic context of AI interactions, the solution flags misaligned or high-risk actions in real time, before damage occurs, such as non-compliant communication or data loss. Delivered through a unified architecture for the agentic workspace, Proofpoint AI Security operates across the surfaces where AI is used?including endpoints, browser extensions, and MCP connections?giving organizations the visibility and control needed over AI usage and risks. Through these control points, organizations can: Discover sanctioned and unsanctioned AI tools such as OpenClaw, Ollama, ChatGPT, and MCP servers used by humans and agents; Observe prompts, responses, and data flows during AI tool usage; Apply access controls and guardrails on AI usage; Implement runtime inspection and enforce policies during live AI interactions.
To provide enterprises with a structured roadmap to safely govern AI, Proofpoint is also introducing the Agent Integrity Framework, a comprehensive guide that defines what it means for an AI agent to operate with integrity and provides a five-phase maturity model for implementation, from initial discovery through runtime enforcement. The framework defines Agent Integrity as the assurance that an AI agent operates within the boundaries of its intended purpose, authorized permissions, and expected behavior?across every interaction, tool call, and data access. It outlines five pillars: Intent Alignment, Identity and Attribution, Behavioral Consistency, Auditability, and Operational Transparency, to help customers operationalize AI governance without needing to overhaul their existing security architecture.
Proofpoint AI Security is available in all global markets.
