Govern every agent, every MCP, every tool, every data request — at machine speed.
Enterprises don’t just need visibility, they need positive control over AI agents in their environment. TrustAI is the central control point for defining granular entitlements, enforcing runtime control, and continuous auditability whether built with LangGraph, LangChain, or Strands, and deployed on Amazon Bedrock AgentCore, Azure AI Foundry, Databricks AgentBricks, Snowflake Cortex, or developer machines. When something goes wrong, TrustAI's kill switch pauses or severs any agent's access in seconds.
Register AI agents, service accounts, MCP servers and tools across the enterprise. Propagate user identity all the way to the data layer.
Prevent unauthorized AI agents from accessing sensitive data — whether on-prem, in the cloud, or distributed globally.
Intent-based controls limit agents to only the tools and data required for each approved task. Across the AI stack—from MCP servers and agent tools to the data itself.
Cut off high-risk agents instantly, across every data platform in your environment — without redeploying or rewriting policy.
Enterprise AI is moving faster than your controls to secure it. The result is a widening gap between what your AI teams want to deploy and what security and compliance can safely allow into production.
Increased risk from AI agents deployed directly against data stores — without the visibility, access control, and governance enterprises require.
AI operates at machine speed and scale that legacy security frameworks were never built to handle — making it difficult to manage AI governance at enterprise scale.
Most solutions today provide only broad, coarse permissions at the data layer — leaving sensitive rows, columns, and files exposed to any agent with access.
Inability to demonstrate who accessed what, on whose behalf, and under which policy means failing audits across SOC 2, GDPR, HIPAA, NIST AI RMF, and the EU AI Act.
Existing tools were built for a different era — before AI agents, before MCP, before data access happened at machine speed. Each category solves only part of the problem, leaving critical gaps in governance, enforcement, and audit.
Only provides visibility into what data you have and where it lives. While some DSPM solutions have added policy controls, these are shallow, coarse-grained, and lack dynamic risk-based access control.
These provide agent identity and provisioning, human owner assignment and lifecycle, authentication, identity posture and access certification, and a single source of truth for agent identity.
These provide a platform for agents to execute, and often include capabilities such as model routing, cost management, model guardrails, and lightweight governance controls.
TrustAI gives security, data owners, and AI teams a shared control plane — so innovation moves fast without trading away protection or compliance.
From visibility to runtime enforcement to audit — TrustAI provides the full data access control plane purpose-built for enterprise AI.
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TrustAI works natively with the data, identity, AI, governance, and security tools you've already standardized on — proxyless, agentless, and cloud-native.
Every other category solves part of the picture. TrustAI unifies agent identity, fine-grained policy, runtime enforcement, and continuous audit in a single platform that activates in minutes.
Schedule a 30-minute walkthrough — see how TrustAI inventories your agents, enforces fine-grained policy at the data layer, and gives you a working kill switch.
