◎ Platform · Agent Security

Stop bad actions. Before they propagate.

One Control Plane. Any agent. Any data.

Security is where signals become enforcement. The Policy Agent fires automatically. Authorization is scoped by purpose. MCP servers are verified before agents touch them. Agent-to-Agent identity is propagated and bounded.

Request a demo See how it works
THE CHALLENGE

Agents act with real privileges. Across an exploding attack surface.

AI agents run with real credentials and reach production resources.

They call external tools through MCP servers that may be malicious or compromised. They delegate work to other agents whose identity you cannot verify. They inherit context, propagate credentials, and act autonomously at machine speed.

Traditional perimeter security was not built for any of this.

The attack surface is not a network boundary anymore. It is every prompt, every tool call, every agent-to-agent handoff. Security has to operate inside the agent runtime, not around it.

WHERE SECURITY FITS

Signals become enforcement. In real time.

Discovery finds the agents. Observability watches them.

Security is where the signals turn into action: policies that fire, MCP servers that get verified, A2A handoffs that get bounded, and violations that get blocked at the moment of execution.

If Discovery and Observability tell you what is happening, Security decides what is allowed and acts on what is not.

◎ Trust3 AI Secure Agent

Policy that enforces itself. In real time. On every agent.

Trust3 AI Secure Agent is the autonomous enforcement engine of the Trust3 AI Control Plane. It evaluates every agent action against every active policy, informs what is not allowed, creates the audit record, and routes remediation.

This is not a chatbot and not a dashboard. It is an autonomous Trust Agent.

Trust3 AI Secure Agent: autonomous policy enforcement, audit, and remediation across every connected agent.
What Trust3 AI Secure Agent does

Evaluates continuously.

Every tool call, resource request, and agent action is evaluated against every active policy in real time. Not on a schedule. Not nightly. The moment an action occurs.

Blocks pre-execution.

When an action violates active policy, Agent stops it before it runs. Tool calls denied. Resource requests refused. A2A handoffs rejected.

Creates the audit record.

Every fire, block, and allowed action is logged with timestamp, agent identity, policy reference, and evidence link. The record is what you show the regulator.

Routes remediation.

Detected violations become assignable issues with suggested remediation steps, owner assignment, and status tracking through Detected, Under Review, Remediated, and Resolved.

Seven policies active by default.

Sensitive resource access, including PII, PHI, and PCI. Regulatory compliance, including EU AI Act, HIPAA, GDPR, and NIST AI RMF. Operational cost, including token limits, model tier restrictions, and spend thresholds. Additional policies activate as your program matures.

WHAT IT DOES

Five layers of enforcement. One Control Plane.

01
Purpose-Based Access

Access scoped by why, not just who.

Traditional authorization asks: does this identity have permission to access this resource?

That model breaks down for agents, where the same service principal might be allowed to query a table for sales analysis but not for personal data extraction.

The Control Plane scopes access by declared purpose. Every agent has a stated purpose at registration. Every request is evaluated against that purpose before it reaches the underlying resource.

  • Purpose-based access control: the agent's declared scope becomes part of the access decision
  • Identity-aware policy: policies evaluate the service principal, agent purpose, and resource classification together
  • Real-time decisioning: access granted or denied at the moment of request, not on a schedule
  • Just-in-time scope expansion: temporary scope increases for authorized actions, logged and time-bounded
02
MCP Security

MCP servers verified. Before agents touch them.

Model Context Protocol lets agents call external tools and servers. It also expands the attack surface dramatically.

A malicious MCP server can poison tool descriptions, exfiltrate credentials, or trick an agent into harmful actions.

The Control Plane secures the MCP layer at five points:

Control What it does
Server verificationEvery MCP server an agent connects to is authenticated and verified against an allowlist. Unknown servers are blocked.
Tool scopingTool descriptions and claims are inspected. Tools that exceed an agent's declared scope are flagged or blocked before the agent calls them.
Credential isolationAgent credentials are not passed through to MCP servers in their original form. Trust3 mediates the credential layer so a compromised server cannot harvest production keys.
Prompt injection detectionTool descriptions and tool responses are scanned for known injection patterns before they reach the agent context.
Full MCP traffic loggingEvery tool call, response, and credential exchange is recorded for audit.
03
A2A Trust

Trust between agents. Identity. Scope. Accountability.

Agent-to-Agent communication is the next attack surface. When agent A delegates work to agent B, three security questions matter:

  • Who is B?
  • What is B allowed to do on behalf of A?
  • What happens when B fails or behaves badly?

The Control Plane handles A2A trust as a first-class concern.

  • Agent identity propagation: every A2A request carries verifiable identity for both calling and called agent
  • Scope inheritance and bounding: when agent A delegates to agent B, B inherits A's purpose scope plus any additional restrictions Trust3 applies
  • Delegation chain traceability: multi-hop delegations are fully traced, and every agent in the chain is visible in the audit record
  • Reputation-aware routing: agents with low Trust Scores cannot serve as delegation targets for high-trust workflows
  • Mutual scope verification: before any A2A handoff, both sides verify the work is within their declared scope

Impersonation is blocked at the protocol layer. Sensitive work is not routed through untrusted intermediaries.

04
Runtime Guardrails

Guardrails. At the moment of action.

Some controls cannot wait for an after-the-fact violation record. The Control Plane enforces in real time on the agent execution path.

  • In-context content filtering: sensitive content such as PII, PHI, PCI, secrets, and credentials is detected in agent inputs or outputs and blocked or redacted
  • Anomaly-triggered intervention: when an agent's behavior crosses defined risk thresholds, the runtime can pause, require human approval, or revoke credentials
  • Kill switch: any agent can be quarantined immediately. Active sessions terminated, credentials revoked, future requests denied
05
Remediation

Detected. Tracked. Fixed. Proved.

Every violation Policy Agent detects becomes a structured issue with a clear path to resolution.

  • Detected and assigned to an owner automatically or manually
  • Evidence linked directly, one click from issue to proof
  • Remediation steps suggested based on policy type and violation category
  • Status tracked through to resolution
  • Resolution logged with timestamp, owner, and action taken
  • Closed issues retained permanently as your compliance record

This is what you show the regulator. Not a policy document. A remediation record.

◎ Ask Your Posture

Need a quick answer? Ask in plain English.

Trust3 returns answers grounded in live Control Plane data, with links to the underlying evidence.

  • "Which agents are connected to unverified MCP servers?"
  • "Show every A2A delegation last week with scope inheritance."
  • "Which agents access sensitive resources outside their declared purpose?"

Security that enforces. Not security that documents.

One Control Plane for any agent, any data. From Policy Agent to MCP and A2A protection, the Control Plane turns governance intent into enforcement.