CODE TO EVIDENCE
Independent control for autonomous systemsJudaxis Verify + Sentinel
Control what AI is allowed to change.Know what changed.
Control what happens next.judaxis
Verify software state. Enforce policy before intent becomes effect.Independent proof for software. Enforceable boundaries for AI.
Judaxis places an independent decision boundary between AI agents and the tools, secrets, networks and machines they can affect.Judaxis binds every security claim to exact evidence, then places policy between autonomous intent and real-world effect.
Secure workspace access is available to approved pilot organizations.
- Software
- commit 4f91d2a7
- Policy
- release-boundary.v3
- Requested effect
- policy.write
- Reason
- Authority does not permit policy mutation
- Evidence ID
- jdx_demo_7c29
- Recorded
- 2026-10-11 · UTC
sha256:7c29...a18eSEALED4f91...d2a701 / TRUST CONTROL PLANE
One control plane.
From source to effect.
A scan proves one state. Judaxis carries that evidence forward to later builds, agent decisions and physical effects so every consequential change can be checked against policy.
INTENT TO DECISION
Put policy between the model and the effect.
Identity, purpose, authority, time, budget and impact are evaluated before a consequential action executes.DECISION TO MACHINE
Carry the same boundary into the physical world.
Device identity, firmware state and actuator commands form the evidence path for robots and AI-enabled machines.Independent evidence
Judaxis Verify observes and proves.
Code, builds and operational signals are bound to exact versions. Findings, scope and reviewer decisions become portable evidence instead of a one-time claim.
- Commit-bound code evidence
- Continuous change detection
- Signed assurance records
Runtime enforcement
Judaxis Sentinel governs effects.
Before an agent reaches a tool, secret, network or physical actuator, Judaxis Sentinel evaluates purpose, identity, authority, time, budget and potential impact.
- Default-deny action gateway
- Human approval for critical effects
- Automatic stop and escalation
02 / EVIDENCE BOUNDARIES
Every claim stops
where its evidence stops.
Each layer answers a different question. No level implies a broader guarantee than the evidence supports.
- 01Code VerifiedCommit, dependencies and security findingsAVAILABLE
- 02Continuous CodeDefault-branch drift and evidence validityAVAILABLE
- 03Build VerifiedArtifact identity and provenanceFOUNDATION
- 04AI BehaviorPrompt, retrieval and tool behaviorPILOT
- 05Runtime EnforcedPurpose, permission and effect boundariesSENTINEL
- 06Human ReviewedIndependent expert decisionPLANNED
- 07Physical AI AttestedDevice identity, firmware and actuator evidenceVISION
03 / PRODUCTS
One evidence language.
Three product layers.
Code Evidence
Repository inspection tied to an exact commit, with explicit verified and unverified scope.
AVAILABLEContinuous Evidence
Verification that expires when protected code changes and renews only after a successful scan.
AVAILABLEAgent Boundary Pilot
Adversarial testing and runtime policy enforcement for a bounded, non-production agent workflow.
PILOTPhysical AI Assurance
Control evidence for devices that can sense, decide and create physical-world effects.
RESEARCH04 / DECISION LOGIC
The model can propose.
The policy decides.
Judaxis Sentinel does not ask an autonomous system to police itself. Enforcement sits between intention and effect, using policy that the acting model cannot silently rewrite.
- Agent identity
- support.refund.v4
- Requested effect
- payment.refund(4,850 EUR)
- Approved ceiling
- 1,000 EUR
- Human approval
- missing
Budget boundary exceeded. Action not executed. Evidence record sealed.
05 / PHYSICAL AI HORIZON
From software state to physical effect.
Judaxis extends the same evidence and enforcement boundary from software agents to AI-enabled machines.
Consequential action should be authorized, bounded, observable and accountable.