Secure Agents Everywhere
And everything it touches: DataMCPsAPIsTools

Trust3 AI is the only control plane that secures every agent, every attack surface, and the data behind it, from build time to runtime.

Connects to any agentic framework
Connects to any agentic framework

Agents you’d never approve are already running

Touching DataAPIsMCP serversTools

Everything an agent touches is an attack surface. A poisoned tool. A malicious MCP. An injected prompt. Each one leads to your data. And most of this surface is invisible.

The approval gate fails at three points

  1. The Shadow Agent

    Built in Cursor, wired to an unvetted MCP server, working the same afternoon. No ticket. No identity. No owner.

    Your gate can’t refuse what was never submitted.

  2. The Blank Check

    Access is static and role-based: one token opens everything the role can see, around the clock. There’s no grant scoped to a purpose.

    Every approval is a blank check.

  3. The Moving Target

    Approval is a moment. Agents change daily: new tools, injected prompts, improvised access.

    The agent you approved isn’t the agent that’s running.

Approve with confidence

A three-part mechanism making up the control plane

Find every agent. Before it becomes a risk

Enterprises undercount their agents 3–10x. Nothing gets governed until it’s found.

Every agent, including shadow AI, across Databricks, Azure AI Foundry, Copilot Studio, MS365, and more
Identity mapping for ephemeral and delegated agents

Trace every decision. In real time

If you can’t replay what an agent did, you can’t ship it.

Per-turn traces of every prompt, tool call, and response, with an immutable audit trail
Real-time drift and injection detection; one-click evidence for EU AI Act, HIPAA, NIST

Authorize every action. As it happens

Roles say who someone is. Purpose says what this agent gets, right now. Enforced before anything moves.

Purpose-based access per request, run-as identity resolution, runtime guardrails
Just-in-time grants, auto-expiring scopes, zero standing access. Native in Snowflake, Databricks, BigQuery

One Control Plane To Secure Agents, Attack Surfaces & The Data Behind Them

Agent Security

Agent DOS: discover, observe, secure

  • Copilot Studio
  • Cursor
  • Amazon Bedrock
  • CrewAI
  • + more

Everything Agents Touch

Attack surface
  • ToolsWeb search, email, code exec, browser
  • MCP serversGitHub, Postgres, Slack, custom
  • APIsREST, GraphQL, internal APIs
  • SaaS AppsSalesforce, Slack, ServiceNow, Workday

Data Security

PBAC & FGAC

  • Snowflake
  • Databricks
  • Google BigQuery
  • Iceberg
  • 50+ more

Trust3 AI Security Control Plane

Agent Security

Agent risk starts when a developer spins up an agent in Cursor or attaches an unvetted MCP server.

So coverage starts there: discovered at build time, scored before deploy, enforced at runtime, replayable at audit.

Every framework, every cloud

Data Security

There is no AI without data. It’s what agents retrieve, act on, and expose.

So enforcement lives at the source: fine-grained, purpose-based access.

Zero proxy latency, zero standing access

Governed at Every Stage

BUILD-TIMEBefore the agent is live.

  1. Connect
  2. Discover
  3. Score
  4. Fix
AGENT GOES LIVE

While the agent is live.RUNTIME

  1. Proxy
  2. Inspect
  3. Block
  4. Log

One console. Every agent

Three pillars become one console. Every agent across your stack, governed from a single surface.

Governance Intelligence Agent · live overview

01 / DISCOVER

Every agent. Every platform

Auto-discovered AI agents across AWS, Databricks, and custom, with trust scores, owners, and identity chain of custody.

02 / OBSERVE

Ask in plain English. Get audit-ready answers

GIA grounds every answer in your live inventory. Not in LLM guesses. Every prompt, retrieval, and tool call traced and replayable.

03 / SECURE

Policies that hold. Violations that surface

Compliance frameworks like EU AI Act and HIPAA enforced as living policies. Every violating agent listed, every fix one click away.

Observability and Authorization,
at the Protocol Layer

MCP servers, A2A delegation chains, AI gateways: every wire your agents use is a place to watch and govern. We’re built for all of them.

 MCP security

Asana’s MCP flaw exposed ~1,000 enterprises. The WordPress AI Engine plugin put 100,000+ sites at risk. Every MCP server is an attack surface. We treat it like one.

 A2A security 

Signed Agent Cards stop forgery, not identity propagation. Trust3 AI carries user identity, declared purpose, and PBAC verdicts through every hop, three agents deep.

AI Gateway integration

Portkey, LiteLLM, Kong, Cloudflare, Apigee: we don’t replace your gateway. We sit behind it and enrich every log with agent identity, purpose, and PBAC verdict.

What Trust3 AI Delivers, In Numbers

Quarterly review boards replaced with embedded guardrails. Audit packs in one click.

And for the board: a live inventory of every agent and a governance posture report, generated from the same control plane your security team runs.

  • 10×faster from POC to productionIntellyx-validated, 2026
  • 84%reduction in audit prep timeIntellyx-validated, 2026
  • 50+native data sources, zero proxy latency
  • 73%of enterprises have no complete AI agent inventoryTrust3 AI survey of 437 technology experts
0–10

Trust Score: one 0-to-10 Score per agent, scored across four dimensions.

  • Policy Compliance
  • Scope Adherence
  • Security Posture
  • Behavioral Baseline
Dec 2027

Evidence packs pre-mapped ahead of the December 2027 high-risk deadline.

  • Evidence packs, pre-mapped
  • Audit-ready traces

Ready to Build a Governed AI Enterprise?

The agents are already running. The question is whether your governance is keeping up.

Our Partners & Programs

Program memberships

  • NVIDIA Inception Program
  • Snowflake Startup Accelerator
  • Databricks Built On Partner
  • Google CloudSELECTTechnology PartnerGoogle Cloud Select Technology Partner
  • Qualified
    Software
    AWS Qualified Software
  • MicrosoftPartnerMicrosoft Partner
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