The same trust, evidence, and containment used for AI agents — extended to systems that touch physical assets.
Veldt's runtime parsers ingest telemetry, commands, and audit events from the systems that run modern industrial and defense autonomy.
Integration is verified in the reference parsers. Production deployment on specific fleets is an engagement — the parsers give you the ingest surface; the deployment shape depends on your environment.
The Veldt platform (Control · Protect · Prove · Assure) applies to autonomous systems the same way it applies to AI agents — but the stakes are physical and the auditors are different.
Verifiable authority, time-limited delegation, tool-level RBAC — enforced before any command reaches the actuator.
Pre-deployment blast-radius scoring, runtime anomaly detection, containment paths that isolate a compromised branch without grounding the fleet.
Every command, autonomous decision, and telemetry event lands on a signed evidence chain. Reconstructible for accident review, regulator audit, or after-action.
Watchtower verifies the control plane independently — separate signing key, read-only replica, its own evidence log. Drift, tampering, and silent-fail all fire.
Veldt ships 33 regulator packs. The ones that apply to industrial and defense autonomy are pre-mapped; others are add-on as your program expands.
Regulator packs supply the evidence templates and control mappings. Which packs apply to a specific system, and the depth of applicability, depends on the deployment.
Veldt's runtime parsers, evidence chain, delegation attribution, and regulator packs all extend to autonomous-system contexts by design — the same primitives that govern AI agents apply to physical actuators, drones, and industrial control. Production deployments on specific cyber-physical fleets are an engagement: we scope the integration, adapt the evidence retention to your regime, and validate the assurance path with your program office. If you're evaluating governance for an autonomous program, that conversation is where we start.
Control what an autonomous system may command. Detect abnormal behavior. Prove every decision. Verify the controls themselves.