Attack Surface

Attack surface refers to the totality of vulnerabilities, entry points, and weak links in an AI system that malicious actors or unintended interactions could exploit. In enterprise AI governance, understanding and minimizing attack surface is critical because AI systems handle sensitive data, make high-stakes decisions, and often integrate across multiple business systems and external interfaces. Organizations must identify exposed APIs, model inputs, data pipelines, and user access points, then implement controls to reduce exploitability and strengthen defenses against both adversarial attacks and accidental misuse.

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ResearchGlobal2026-09-19

Mandiant: AI Agents Create Attack Surface That Identity and Telemetry Controls Cannot Yet See

Mandiant issued a warning that AI agents expand enterprise attack surfaces in ways that conventional identity and monitoring controls are not equipped to detect. The firm called for adaptive identity governance, continuous behavioral telemetry, and faster automated response pipelines. Compliance teams are advised to connect agent prompt streams, endpoint signals, and API activity into existing SIEM and EDR workflows.

Mandiant agentic AI identity management SIEM behavioral telemetry incident response attack surface