Anetac is an AI-native identity vulnerability platform that provides continuous discovery, monitoring, and response across human, non-human, and agentic AI identities. The platform addresses three distinct identity types: - Human identities: Monitors employees, contractors, and other users for behavioral anomalies, access gaps (Joiner/Mover/Leaver lifecycle events), and insecure access patterns, including accounts that exist outside established control planes. - Non-human identities: Detects issues with service accounts, APIs, and scripts, including hardcoded secrets, dormant access, privilege inheritance, and machine identity misuse. Non-human identities are noted to outnumber human accounts by approximately 40x in most environments. - Agentic AI identities: Identifies risks associated with AI agents, including over-permissioned agents, prompt injection risk, misused tools, toxic privileges, and critical access chains that operate without human oversight. Core platform capabilities include: - Privilege chain mapping: Traces how identities interact with critical assets to reveal toxic access paths, lateral movement risk, and shadow access relationships. - AI-driven behavioral analysis: Uses time-series AI and behavioral analytics to detect out-of-policy activity, privilege escalation, and identity misuse including unconstrained delegation. - Real-time discovery and monitoring: Continuously links access, behavior, and privilege across fragmented and hybrid environments. - Dynamic risk reduction: Identifies and remediates high-risk access patterns tied to agentic and non-human identities to reduce the identity attack surface. The platform is used by organizations in banking, healthcare, airlines, retail, and higher education.