System Integrity
Low-level integrity verification, memory safety compliance, and deep-system threat detection.
Anatax is an edge-first platform that helps organizations monitor, verify, and control AI-powered autonomous systems through continuous telemetry, policy enforcement, and operator oversight.
Anatax supervises mission software; it does not replace it. Policies are defined by your operators and responses are configured by you.
Gran Baron Labs is an independent engineering initiative building foundational infrastructure for the next generation of autonomous systems.
Mission
Autonomous systems are making more decisions without human intervention. Organizations need a way to continuously verify that these systems operate safely, reliably, and according to policy after deployment.
These systems are expanding fast into robotics, industrial automation, transportation, aerospace, and defense. Testing before deployment says little about how they behave once they are running in the field.
Our Focus
Traditional network defenses protect infrastructure and applications. Anatax focuses on assuring autonomous systems while they operate.
Anatax runs alongside mission software, not inside it.
It continuously checks identity, integrity, communications, and critical actions before they affect the system.
Keeping supervision separate adds assurance, safety, and accountability without redesigning the autonomous application.
Decisions are made locally on the system, with no dependence on connectivity.
Identity, integrity, and actions are checked throughout operation, not just before deployment.
Every critical action is evaluated against explicit policy before it executes.
Every decision is recorded so operators can see exactly what the system did, and why.
Eight capabilities, all running continuously while the system is operating:
Continuous verification of cryptographic node and process identities during live operation.
Real-time validation of system state, memory safety, and executable binaries.
Critical commands and autonomous actions are evaluated before they execute.
Deterministic evaluation of actions against explicit, human-defined operating policy.
Fail-safe triggers, return-to-base routines, and safe modes invoked the moment limits are crossed.
An immutable record of every policy decision and critical action taken.
Real-time telemetry across system boundaries and execution traces, in one place.
Central governance of policy and trust parameters across an entire fleet.
Eight areas of engineering research, moving from protecting the system to seeing it clearly to running it at fleet scale:
Low-level integrity verification, memory safety compliance, and deep-system threat detection.
Continuous, non-intrusive monitoring of high-autonomy decision-making during live operation.
Turning human intent and regulatory mandates into machine-readable rules evaluated in real time.
Orchestrating fail-safes, human approval loops, and hardware return-to-base states.
Adapting Zero Trust to edge robotics with cryptographically secure, hardware-bound identities.
Standardizing multi-modal logs, system metrics, and execution traces into a single panel.
Securely distributing telemetry and policy parameters across geographically dispersed fleets.
Applied research into transparent, auditable control loops for non-deterministic software.
The timeline prioritizes stability and defensive rigor over rapid commercialization.
Defining the architecture, assurance model, threat analysis, and engineering foundations.
Building the framework, secure communication layer, identity architecture, and policy infrastructure.
A lightweight on-system component for identity verification, integrity validation, secure communication, and local monitoring.
The deterministic engine that evaluates behavior, validates critical actions, enforces policy, and records every decision.
The first operational build, supervising a simulated autonomous system end to end.
Validating Anatax with early design partners in commercial autonomous environments.