◎ Platform · Agent Security

Stop bad behaviour. Before they propagate.

Real-time Security and Enforcement Plane for All Agent Activity

Once agents are discovered and monitored, security is where signals become enforcement. Trust3 AI automatically triggers policy actions, scopes authorization by purpose, verifies MCP servers before agents connect, and propagates bounded identity across every Agent-to-Agent interaction.

THE CHALLENGE

Agents cross system boundaries. Traditional security does not.

AI agents run with real credentials and production access, making every prompt, tool call, and agent-to-agent interaction part of your attack surface. They connect to external MCP servers, inherit context, and delegate work autonomously at machine speed - often beyond traditional security visibility. Perimeter-based security wasn’t built for this model. Security now has to operate inside the agent runtime, where decisions and trust happen in real time.

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THE SOLUTION

Real-time Security and Enforcement Plane for All Agent Activity

Trust3 AI enables you to discover agents through a discovery agent, while observability and security turn signals into action. This includes enforcing policy, verifying MCP servers, bounding A2A handoffs, and blocking violations in real time. If discovery shows what’s happening, observability and security decide what’s allowed and enforce what isn’t. Trust3 AI Secure Agent is the autonomous enforcement engine of the Control Plane, evaluating every action, creating audit records, and routing remediation in real time.

KEY CAPABILITIES

Core capabilities

Purpose-Based Access

You don’t just control who an agent is, but you control why it’s acting. Traditional access breaks when the same agent is reused across different tasks and contexts. Trust3 AI ties every request to a declared purpose that is evaluated in real time before any data is accessed, combining identity, purpose, and data classification in one policy layer with full auditability.

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

Secure Every MCP Connection

MCP expands what agents can do, but it also increases risk across external tools and servers. Trust3 AI secures this layer by verifying every MCP server, restricting each tool to its declared intent, and isolating credentials so they can’t be exposed or reused. Every request is inspected in real time and fully logged for audit and traceability.

Visibility and Control for A2A Interactions

Agents now delegate work to each other, and every handoff introduces a new trust decision. Trust3 AI enforces identity, scope, and accountability across every A2A interaction, ensuring you always know who is acting, what they can do, and how responsibility flows. Furthermore, delegations are fully traced end to end, and untrusted agents are blocked from sensitive workflows.

Real-Time Runtime Guardrails

Policies only matter if they are enforced at the point of execution. Trust3 AI enforces guardrails directly in the execution path, detecting sensitive data in real time, including PII, PHI, PCI, secrets, and credentials. Trust3 AI blocks risky outputs, and triggers intervention when behavior crosses defined thresholds. In addition, a built-in kill switch lets you pause or quarantine any agent instantly, with credentials revoked immediately.

Audit-Ready Remediation Workflow

Trust3 AI converts every violation into a structured, actionable record instead of a noisy alert. Trust3 AI links each issue to evidence, assigns ownership, and guides remediation based on policy type and risk category. You get full lifecycle tracking, from detection to resolution, with a permanent audit trail you can take to compliance reviews.

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 verification	Every MCP server an agent connects to is authenticated and verified against an allowlist. Unknown servers are blocked.
Tool scoping	Tool descriptions and claims are inspected. Tools that exceed an agent's declared scope are flagged or blocked before the agent calls them.
Credential isolation	Agent 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 detection	Tool descriptions and tool responses are scanned for known injection patterns before they reach the agent context.
Full MCP traffic logging	Every tool call, response, and credential exchange is recorded for audit.

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.

Stop bad behaviour. Before they propagate.

Agents cross system boundaries. Traditional security does not.

Real-time Security and Enforcement Plane for All Agent Activity

Core capabilities

Access scoped by why, not just who.

MCP servers verified. Before agents touch them.

What Trust3 AI Secure Agent does

Security that enforces. Not security that documents.