TaskHawk Systems

The runtime enforcement layer for autonomous systems.

TaskHawk builds formally verified enforcement infrastructure for autonomous AI, software, and operational systems. Kevros enforces permitted action before execution. The same kernel can be applied at operational boundaries. Every controlled action must clear policy and produce signed evidence before it proceeds. TaskHawk is not workflow automation or a general-purpose event stream. It is the control plane that decides whether a proposed system action may proceed and records why.

  • Virginia SWaM Small/Micro certified
  • SAM.gov active: CAGE 10YV4
  • Cloud marketplace procurement paths
  • UEI RZCQRY4J5GV3
Operating premise

The control point is the moment an autonomous decision becomes an action. TaskHawk places enforcement there, records the decision, and leaves a verifier with evidence that can be checked independently.

Advisory logic proposes. Kevros enforces. Intelligence and authority stay separated by design.

Product discipline

One enforcement kernel. Multiple controlled review paths.

Kevros

Runtime enforcement gateway for autonomous AI, software workflows, and operational automation. Signed release tokens, policy decisions, and hash-chained evidence records without becoming the workflow engine or event bus.

Runtime enforcement gateway

Operational enforcement

Boundary enforcement for systems where misaction carries operational or physical cost. Explicit authorization, actuation controls, and recovery constraints stay separated from advisory logic.

Controlled boundary review

Artifacts

Verification artifacts, hash-chain checks, formal models, and procurement support material maintained as part of the product discipline.

Verifier-facing record
Evidence model

Authorization is treated as a verifiable state transition.

Before action The requested operation is evaluated against policy. Failure, ambiguity, or missing verification closes to denial.
At release A signed release token binds the decision to the request context, policy input, and verifier-visible metadata.
Afterward The decision is recorded in an append-only hash chain so a reviewer can check sequence integrity and tampering risk.
Review audiences

Written for reviewers who need specificity and verifiable evidence.

Government and defense

CMMC and NIST-aligned documentation, marketplace deployment paths, export-control awareness, and controlled review material for qualified review.

Enterprise security

Private deployment patterns, clear failure semantics, and event evidence designed for existing IAM, SIEM, and operational review.

Research review

Formal methods, reproducible verifier artifacts, and a clear separation between public verification summaries and controlled technical detail.

Entry points

Three practical review paths.

Enterprise

Review the enforcement gateway, deployment model, and evidence interface for production autonomous systems.

Request a briefing

Government

Review CMMC, NIST, marketplace deployment, and procurement-facing documentation posture.

Government overview

Integrations

Use the verification API and controlled integration material for authorized review work.

Review integrations