This ebook examines the emerging security challenges posed by AI agents operating on enterprise endpoints.
As autonomous agents gain access to local files, credentials, browser sessions, and tool environments, traditional Endpoint Detection and Response (EDR) solutions face a critical agentic blind spot—an inability to evaluate real-time agent intent or govern dynamic software supply chain components like Model Context Protocol (MCP) servers, plugins, and extensions.
To address this gap, Cortex Agentic Endpoint Security (AES) delivers an integrated defense model across four core pillars:
- AI-Native Total Visibility into non-binary AI software assets
- Context-Aware Risk scoring via continuous AI Context Graph analysis
- Proactive Governance through automated guardrails and policies
- Real-Time Threat Prevention via runtime hooks that block unauthorized or destructive agent actions prior to host execution.
