Anetac provides an AI‑native Identity Vulnerability Management platform that continuously discovers, monitors, and remediates risks across human users, service accounts, APIs, and autonomous AI agents. It leverages time‑series machine‑learning and privilege‑chain mapping to detect anomalous behavior and over‑permitted access in real time, delivering actionable alerts and automated response playbooks through a web console or API for hybrid enterprise environments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises rely on static credential inventories and periodic audits, which fail to surface hidden privileges in service accounts, APIs, and autonomous AI agents. This creates blind spots where over‑permitted identities can be abused, leading to privilege escalation and lateral movement without timely detection.
Solution
Anetac delivers an AI‑native Identity Vulnerability Management (IdVM) platform that continuously discovers, monitors, and remediates risks across human, non‑human, and agentic AI identities. The system ingests access logs, configuration data, and behavioral telemetry, then applies time‑series machine‑learning models to flag anomalous activity and privilege misuse in real time. By dynamically linking access, behavior, and privilege, Anetac builds a live graph of privilege chains, exposing toxic paths and shadow relationships that static tools miss. Security teams receive actionable alerts and automated response playbooks through a web console or API, enabling rapid containment of over‑permitted accounts, hard‑coded secrets, and rogue AI agents. The platform operates across on‑premises, cloud, and SaaS environments, providing a unified view of identity risk for hybrid infrastructures.
Target Audience
The primary customers are enterprise security and IAM teams in regulated sectors such as financial services, healthcare, critical infrastructure, and large‑scale retailers that must manage thousands of human and machine identities across hybrid environments.
Features
- Time‑series AI and behavioral analytics that detect out‑of‑policy actions for users, service accounts, APIs, and autonomous agents
- Privilege‑chain mapping engine that visualizes end‑to‑end access paths and highlights lateral‑movement risks
- Continuous discovery of dormant or hard‑coded credentials in scripts, containers, and CI/CD pipelines
- Agentic AI risk module that identifies over‑permissioned models, prompt‑injection vectors, and unsafe tool usage
- Real‑time alerting and automated response orchestration via RESTful APIs and native SIEM integrations
- Cloud‑native, multi‑region architecture with role‑based access control and end‑to‑end encryption for compliance (e.g., GDPR, HIPAA)
- Dashboard with drill‑down analytics, trend reporting, and exportable compliance evidence