Runtime execution governance

Control before consequence.

TrustCore places an enforceable decision boundary between AI output and operational action.

Correct output is not permission. A recommendation is not authority. Before an action binds, TrustCore verifies whether it is still admissible.

Fail-closed Human-controlled Evidence-first Non-bypassable by design
TRUSTCORE / LIVE BOUNDARY ENFORCING
01 / OUTPUT

AI proposes action

Send payment instruction

TargetExternal system
RiskHigh consequence
02 / ADMISSIBILITY
TC

Execution gate

  • Identity bound
  • Scope verified
  • ! Approval stale
  • Evidence ready
03 / DECISION
VERIFY

Consequence paused

Human authorization required before execution.

Receipt TC-8F2A-19D7

Most AI governance evaluates the output.

TrustCore governs whether the action may proceed.

The execution boundary

Governance begins where execution can still be refused.

TrustCore evaluates current authority, context, scope, consequence, reversibility and evidence immediately before an action binds.

01
ALLOWED THEN
VALID NOW

Current authority

Previous approval does not automatically authorize the next action.

02

Scope integrity

Detect target drift, operation drift and hidden expansion before execution.

03
STOP

Fail-closed enforcement

Unknown, stale or conflicting state does not silently become permission.

04

Decision-first evidence

Create a traceable receipt before consequence, not a story after it.

Products & services

Find the boundary. Then make it enforceable.

Start with a focused workshop, examine a real operating environment, or apply the boundary directly to secure software remediation.

PRODUCT / SECURE REMEDIATION Autofix
FINDINGAI FIXPR DRAFTHUMAN APPROVAL

TrustCore Autofix

Turn SAST, IaC, SCA and container findings into reviewable AI-generated fixes while keeping merge and deployment authority with a human.

  • Finding-to-fix workflow
  • Reviewable pull-request draft
  • Explicit human approval boundary
  • No autonomous merge or deployment
Explore Autofix
COMPANY-SPECIFIC ASSESSMENT

Action Boundary Review

A deeper review of one operating environment, its action routes, decision controls and enforcement gaps.

  • Boundary and route analysis
  • Control-gap findings
  • Pilot recommendation
  • Custom scope and pricing
Discuss a review
Evidence, not theatre

A control layer must prove what it decided before execution.

TrustCore is built around explicit decisions, reason codes, receipts and human-controlled authorization.

trustcore / execution-receipt.json
{
  "action": "external_commit",
  "target": "payment_service",
  "authority": {
    "status": "STALE",
    "scope": "single_use",
    "holder": "human_owner"
  },
  "decision": "VERIFY",
  "enforcement": "CONSEQUENCE_PAUSED",
  "reason_codes": [
    "AUTHORIZATION_EXPIRED",
    "HUMAN_CONFIRMATION_REQUIRED"
  ],
  "receipt": "TC-8F2A-19D7"
}
Correctness ≠ permission Recommendation ≠ authority YES ≠ SEND Data in ≠ action out
Control before consequence

Find your AI action boundary before output becomes consequence.

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