When agents touch operations, mistakes get physical. Prove yours stay in bounds.
Verigrey tests transportation and logistics agents against your operational and safety policies — blocking unauthorized or unsafe actions before they execute, and re-testing on every change.
This isn't a generic agent-risk problem.
Operational decisions now affect safety, not just data, and many operators fall under CISA critical-infrastructure expectations — with agents wired directly into scheduling, routing, and control systems.
The agents this buyer is actually deploying.
Logistics / dispatch optimization agent
Optimizes routing and scheduling decisions.
Fleet / maintenance copilot
Assists fleet and maintenance operations staff.
Customer-facing booking / support agent
Handles passenger bookings and support requests.
Ops-decision-support agent
Recommends operational actions to staff.
What keeps you up at night.
Unsafe / unauthorized operational actions
Safety regulatorAgent proposes or executes an action outside a defined safety boundary.
Destructive actions without approval
CISA / NIST CSFIrreversible operational change executes with no human approval gate.
Passenger-PII leakage
GDPR / CCPABooking or support agent exposes passenger data to the wrong party.
Over-broad control-system access
NIST CSF 2.0Copilot reaches further into telematics or control systems than the task requires.
Across the full lifecycle — Define to Prove.
DeepScan tests the agent\u2019s actual behavior at the IT/OT boundary without needing source access to control systems, and PolicyForge encodes the operational limits your safety team already owns.
PolicyForge
Encodes operational-limit and approval-gate rules as checkable tests before deployment.
DeepScan (adaptive testing)
Tests the agent’s behavior at the IT/OT boundary without source access to control systems.
FixLoop
Enforces least-privilege control-system access and re-tests on every change.
Tested against controls derived from your regime.
Regulation names are proof, not decoration — Verigrey doesn't claim to make you compliant. It tests against controls derived from these regimes and hands you the evidence.
| Regulation | Control area | Verigrey policy | Lifecycle stage | Evidence output |
|---|---|---|---|---|
| CISA critical-infra guidance | Cyber-physical security | Operational-limit policy | Define / Test | Operational-boundary test report |
| NIST CSF 2.0 | Access control | Least-privilege control-system policy | Test / Protect | Access-scope enforcement log |
| Sector safety regulators | Operational safety | Approval-gate policy | Define / Prove | Safety-validation evidence pack |
| GDPR / CCPA / PDPA | Passenger data | Data-boundary isolation policy | Test | PII-leak trace record |
See it catch a real violation.
Book a demo and watch Verigrey run against a scenario like the ones on this page.
What we hear before the demo.
Agents create new bridges even into air-gapped environments — Verigrey tests the agent’s actual trajectory, not just the network diagram.
Adaptive testing verifies behavior without source access to control systems — only the agent’s interface is tested.
PolicyForge and DeepScan test operational-boundary policies pre-deployment, not after an incident.
Part of the full assurance loop.
Operational risk has to be caught before it becomes physical \u2014 Define sets the operational boundary, Test drives the agent against it, and Re-test closes the gap on every change.
PolicyForge
Plain-English rules → formal, checkable tests
DeepScan
Adaptive testing — 9× more violations found
FixLoop
Root-cause + fix, re-test on every agent change
RuntimeGuard
Same policies monitored on live traffic, streamed to your SOC
ProofLedger
Regulator-ready, OWASP/MITRE-mapped audit evidence
Keep operational agents inside safe bounds.
Book a demo and see Verigrey gate an out-of-bounds operational action before it executes.