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Products/Agent Command

Secure and monitor your autonomous workforce

Monitor every agent, seal every secret, audit every action from a single dashboard.

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The problem

AI agents are being deployed into enterprise environments without proper monitoring and security solutions.

Corporate anxiety about autonomous agents is rising:

Identity sprawl and ungoverned access.

Agents hold credentials and take actions, but most enterprises lack visibility into their agentic workforce, cannot verify AI agent identities, and do not govern access to and permissions in sensitive systems.

Data leakage and prompt injection.

Sensitive data is fed into agent context windows, logs, memory, and third-party models. Malicious prompts or un-audited agentic instructions can hijack agent behavior, leak private data, and widen the attack surfaces for bad actors.

Compliance and audit exposure.

AI agents do not natively log actions, and when prompted for an auditable record, agents can hallucinate. Enterprises are unable to produce audit trails for compliance or to diagnose agentic misbehavior, leading to non-conformance with industry regulations like the EU AI Act and the NIST frameworks.

Agent Command

Monitor every agent. Seal every secret. Audit every action.

Agent inventory and monitoring console

Monitor every agent, all programmed permissions, and all protected actions from a single dashboard.

Hardware-sealed TEE data processing

Seal every secret in hardware, so that private credentials, keys, and data are never exposed to AI agents or their model context.

Tamper-proof immutable audit trail

Audit every action on a tamper-proof ledger, cryptographically signed and verifiable by any regulator.

How it works

Secure and monitor every agent, ensured by network consensus

With Terminal 3, data and security teams can:

Verifiable Agent Identity

Issue every agent a verifiable identity.

Identities are cryptographic and portable across enterprise SSO (Okta, Ping, Entra, Google Workspace) and open agent protocols (Google A2A, Anthropic MCP, SPIFFE/SVID, ERC-8004), verifiable without a shared trust anchor.

Policy Enforcement

Set permissions that an agent can never exceed.

Enforced in hardware, beyond the reach of bad actors or a compromised agent; every action is bound to a signed intent.

Secrets Vault

Hide your organization's secrets from agents.

Credentials, keys, and private data are sealed in hardware, substituted at the boundary, and never exposed to agents or their model context.

Immutable Audit Trail

Prove to compliance and regulators what agents do.

Every action is logged to a cryptographic Merkle-tree ledger, immutable and independently verifiable, export-ready for examinations and SOC 2 audits.

Unified Commerce

Connect and watch agents across multiple ecosystems.

Interoperate via APIs or MCP, so you can monitor and secure agents across your technology stack and across multiple ecosystems.

Days, not months, to secure agents handling sensitive workloads

Deploy agentic identities, secrets management, policy enforcement, and audit trails in days. Hardware-attested, SOC 2 and ISO-ready from day one, with SSO and programmable permissions out of the box.

Compliance scope that does not expand with growth

As AI agent deployments grow, your governance overhead stays fixed with programmable permissions and hardware-ensured secrets management.

Evidence for regulators, not just assurances

When regulators or compliance ask what your agents did, when, and under whose authority, the answer is readily available as a verifiable audit trail.

T3 Network

Your agents, secured by T3 Network

Agent Command's guarantees are inherited from T3 Network for unmatched security, compliance, and data privacy.

Sealed in hardware. Computation only runs inside secure enclaves so operators, insiders, and AI agents never handle secrets or exceed programmed permissions.

No unauthorized party can unlock your data. Encryption keys are split across multiple nodes via threshold cryptography, and decryption requires a network quorum.

Independently verifiable records. Every action is logged to an immutable ledger, cryptographically signed and verifiable by any third party.

Use cases

Build agents that act within authorized bounds

AI agents can execute real-world tasks on behalf of employees. Every action is bounded by a signed intent, cleared against procurement or compliance policies, and logged to the hardware-locked audit ledger.

Visa applications submitted by an agent on verified intent
Agentic payments

Visa applications submitted by an agent on verified intent

The agent fills in forms using secure identity data injected at the boundary, submits the application, and records the full submission into an audit trail.

Learn more →
Policy-bound travel booking from a single signed intent
Agentic payments

Policy-bound travel booking from a single signed intent

An employee signs a bounded intent credential (class, destination, budget cap), and the agent books a compliant itinerary, with every decision and action written to an audit trail.

Learn more →
Authorized payroll processing
Enterprise AI governance

Authorized payroll processing via signed instruction

The agent verifies the requester's identity, enforces processing rules, executes an automation run inside T3 Network, and logs every action.

Learn more →
E-commerce procurement policy
Agentic payments

Corporate purchases cleared against procurement policy

The agent checks each item against hardware-attested procurement policies before checkout, while every purchase is logged to an immutable audit trail.

Learn more →
Visa applications submitted by an agent on verified intent
Agentic payments

Visa applications submitted by an agent on verified intent

The agent fills in forms using secure identity data injected at the boundary, submits the application, and records the full submission into an audit trail.

Learn more →
Policy-bound travel booking from a single signed intent
Agentic payments

Policy-bound travel booking from a single signed intent

An employee signs a bounded intent credential (class, destination, budget cap), and the agent books a compliant itinerary, with every decision and action written to an audit trail.

Learn more →
Authorized payroll processing
Enterprise AI governance

Authorized payroll processing via signed instruction

The agent verifies the requester's identity, enforces processing rules, executes an automation run inside T3 Network, and logs every action.

Learn more →
E-commerce procurement policy
Agentic payments

Corporate purchases cleared against procurement policy

The agent checks each item against hardware-attested procurement policies before checkout, while every purchase is logged to an immutable audit trail.

Learn more →
Security & compliance

Security and compliance, built into the infrastructure

We take security seriously and have implemented robust measures to protect your data.

AICPA SOC 2 certificationSOC 2 Type 1SOC 2 Type 2ISO27001GDPR ready
Agent Command is the enterprise AI governance platform that includes: a real-time discovery layer that surfaces every AI agent across your organization (including shadow AI), a policy engine that inspects and enforces data handling rules on every prompt in-flight, TEE-secured data processing that keeps sensitive data inside your compliance boundary, and a cryptographic Merkle-tree audit ledger that is immutable, independently verifiable, and export-ready for regulatory examinations.
Most AI security tools address model-level risks: jailbreaking, prompt injection, and hallucination. Agent Command addresses enterprise governance risks: shadow AI operating outside IT visibility, sensitive data crossing compliance boundaries to third-party models, and the absence of a verifiable audit trail for regulatory examination. It is a governance infrastructure layer.
The governance plane deploys in days. Agent Command ships pre-hardened with SSO, a policy engine, and SOC 2 and ISO-ready configurations. Discovery begins surfacing your AI agent estate immediately after deployment. There is no per-agent configuration required. Governance is an infrastructure-level property.
Agent Command inspects every prompt against your policy rules and redacts or blocks only the specific data elements that violate policy: PII, secrets, AML flags, and health records. The redacted prompt continues to the model; the agent workflow completes without interruption. The model receives intent without the sensitive data. Policy violations are logged but do not require human intervention unless configured to do so.
Agent Command's architecture is aligned with MAS AI governance guidelines, GDPR (data minimization and purpose limitation applied at the prompt level), PDPA, SOC 2 Type II (audit trail generation), and ISO 27001. The audit export function generates structured packages suitable for regulatory examination under each of these frameworks.
Yes. The shadow AI problem, the need for data policy enforcement on AI prompts, and the requirement for a verifiable audit trail apply to any enterprise deploying AI at scale — healthcare-adjacent businesses, professional services, technology companies, and government agencies. The policy engine and discovery layer are configurable to any regulatory framework or internal data governance standard.
READY TO DEPLOY

Monitor every agent,
seal every secret.

Deploy agentic identities, secrets management, policy enforcement, and audit trails in days.