DECISION, RISK & AUTHORIZATION INFRASTRUCTURE FOR AUTONOMOUS AGENTSNOMOS LABS / 01
AI agents are moving from answering to acting.
Nomos Labs helps organizations test agent behavior before deployment, decide whether consequential actions should be allowed, approved, or denied, and monitor the services agents depend on over time.


As agents begin to spend budgets, access production systems, call paid services, and execute workflows, authority over action becomes critical infrastructure.
TEST→DECIDE→MONITOR
01THE SHIFT
AI is moving from answering to autonomous action.
01 / ANSWERUNDERSTAND & GENERATE
02 / ACTUSE TOOLS & SYSTEMS
03 / IMPACTTAKE CONSEQUENTIAL ACTION
Models generate responses. Agent harnesses give those models tools, memory, permissions, and the ability to act. Nomos Labs provides the decision, assurance, and monitoring layer around those actions.
02THE CONTROL GAP
Capability is not authority.
Autonomy is a permission design problem, not a measure of model intelligence.
The more an agent can do, the more precisely its mandate, limits, approvals, and execution boundaries must be defined.
03TEST → DECIDE → MONITOR
Test results inform policy. Runtime decisions generate evidence. Monitoring reveals new risks to test.
01 / TESTAgent Assurance
Agent Assurance discovers failure modes before deployment.
02 / DECIDESignGate
SignGate converts those findings into enforceable decisions before execution.
03 / MONITORx402scan
x402scan monitors the external services and evidence those decisions depend on.
Each layer strengthens the next.
04CONCRETE SCENARIOS
What intervention looks like when an agent is about to take consequential action.
An agent claiming completion is not evidence of completion. High-consequence work requires independent verification, fixed criteria, hard budgets, and human escalation when limits are reached. Verification must remain outside the worker's control.
EXAMPLE SCENARIO / SIGNGATEAn unapproved high-value API purchase
- Intent
- A purchasing agent attempts a $50,000 API-credit payment.
- Authority & Mandate
- The current mandate does not cover that amount or supplier condition.
- Policy
- High-value purchases require additional authority and human approval.
- Risk & Evidence
- SignGate evaluates amount, merchant, mandate, and policy evidence.
- Decision
- REQUIRE_APPROVAL
- Execution Boundary
- The customer execution system pauses the action.
- Verification
- The approval trail and outcome become evidence for later testing and policy updates.
REFERENCE FLOW / AGENT ASSURANCEData access beyond a tool boundary
- Intent
- A support agent attempts to read production customer data.
- Authority & Mandate
- The agent mandate does not include unapproved tools or production-data access.
- Policy
- Sensitive data access must remain constrained by tool boundaries and role authority.
- Risk & Evidence
- Agent Assurance reproduces the scenario before deployment and identifies the policy and tool-boundary gap.
- Decision
- Tighten policy and tool limits.
- Execution Boundary
- Unapproved tools cannot enter the production-data path.
- Verification
- Add a regression test before launch assessment.
05PLATFORM ARCHITECTURE
From agent intent to a verifiable execution result.
01INTENT02AUTHORITY & MANDATE03POLICY04RISK & EVIDENCE05DECISION06EXECUTION BOUNDARY07VERIFICATION
Explore the full platform↗06PRODUCT PORTFOLIO
ENGAGEMENT STATUSAgent Assurance is available for enterprise assessment and delivery engagements. SignGate is available for selected technical validation, policy design, and integration review. x402scan is being developed as the discovery and monitoring layer for agent-accessible services.
ENTERPRISE ENGAGEMENTAgent Assurance
Find failure modes through adversarial and policy testing.
Explore↗SELECTED TECHNICAL VALIDATIONSignGate
Structured decisions before consequential actions.
Explore↗IN DEVELOPMENTx402scan
Discovery and monitoring for agent-accessible services.
Explore↗ 07BEHAVIORAL & TRANSACTION INTELLIGENCE
Behavior, transaction, and service context belong inside the decision.
Analyze activity patterns, counterparties, transaction flows, asset movements, service interactions, contract interactions, and anomalous behavior.
RISK INTELLIGENCE · BEHAVIORAL SIGNALS · TRANSACTION CONTEXT · COUNTERPARTY SIGNALS · EXTERNAL EVIDENCE
08USE CASES
Any action constrained by mandate, policy, risk, or approval.
Agent paymentsAutomated purchasingTrading and order executionPaid API and service accessTool useSensitive data accessEnterprise workflow actionsMulti-agent operationsHigh-impact or irreversible actions
09CUSTOM AGENT SOLUTIONS
Design policy boundaries and assurance into the agent itself.
We design specialized agents with policy boundaries, risk controls, observability, and assurance built in.
Explore solutions↗10COMPANY PHILOSOPHY
INTELLIGENCE
NEEDS
BOUNDARIES.
The critical question is no longer whether agents can act. It is who decides what they are allowed to do, under which authority, with what evidence, and where execution must stop.
N/LTHE TRUST AND CONTROL LAYER FOR CONSEQUENTIAL AGENT ACTIONS.
Test before deployment. Decide before action. Monitor continuously.
REQUEST / DISCUSS
Ready to bring agent boundaries, decisions, and assurance into a real workflow?