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Identient

Identient offers AI governance and agent security tools that assign accountability to AI agents by tracking and managing “Verification Debt” – the hidden liability from ungoverned model queries and data accesses. Their platform names, measures, and retires this debt, providing verifiable evidence of AI decisions and ensuring compliance at machine speed. It helps organizations reduce technical risk and maintain secure, auditable AI operations.

Seattle, United StatesFounded 20244100+ followers
Updated 20 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises deploying AI agents and large language models often lack visibility into which agents access which data systems, creating untracked interactions that can lead to compliance breaches, security incidents, and legal liability. This hidden “Verification Debt” accumulates silently as agents make model queries and identity‑to‑data calls without proper governance.

Solution

Identient provides a governance platform that discovers, measures, and retires Verification Debt across AI agents, model queries, and identity‑to‑data touchpoints. The platform inventories AI agents, maps their reachable data systems, and quantifies ungoverned interactions. It then establishes an AI Review Board, enforces least‑privilege policies, and generates audit‑ready evidence for each AI‑driven decision. By integrating with Microsoft Entra ID, Purview, and Defender, Identient automates the control plane, delivering real‑time, machine‑speed governance that aligns with regulatory requirements. The result is reduced technical risk, documented accountability, and the ability to demonstrate compliance for AI‑enabled operations.

Target Audience

Identient serves large enterprises and regulated organizations that operate autonomous AI agents, copilot‑style assistants, or AI‑driven workflows and need to meet compliance, security, and risk‑management requirements.

Features

  • Automated discovery of AI agents and their data access paths, producing a quantified “Verification Debt” metric
  • AI Review Board framework with board‑legible charters, scheduled reviews, and pre‑incident reporting
  • Integration with Microsoft Entra ID, Purview, and Defender to enforce least‑privilege, logging, and ownership controls
  • Evidence generation and digital twin “Verified Intelligence” that links AI decisions to traceable, governed data sources
  • Hybrid Twin model that synchronizes AI, identity, and data postures for continuous risk assessment
  • Customizable governance policies and dashboards for board and audit stakeholders
This profile is AI-generated and may contain inaccuracies.