A high-performance, Rust-based validation layer for AI agents. Ensuring every transaction is compliant, authorized, and cryptographically sound before it touches critical enterprise infrastructure or a blockchain.
Cryptographic verification of execution environments. Ensures your AI agents are running exactly the code you deployed, untampered.
Built with Tokio and Axum for extreme concurrency. Minimal memory footprint and sub-5ms response times for validation endpoints.
Hard limits, velocity checks, and anomaly detection prevent AI agents from executing runaway financial operations.
Architected with European regulatory frameworks in mind. Extensive structured logging guarantees auditability for every single intent.
ATL-Trust is architected to slot between your AI Agents and your execution layer (blockchain/exchange). It intercepts, validates, and signs intents in milliseconds.
ATL-Trust intercepts outgoing prompt context, deterministically redacts sensitive datasets (SSNs, emails, credit cards, names) at the local edge, and seamlessly re-identifies them when returning LLM responses.
ATL-Trust structures every validation event into a sequentially chained blockchain ledger. If an administrator, insider, or attacker attempts to alter a historical transaction or delete a log entry, the signature verification breaks instantly.
ATL-Trust operates on a strict zero-trust model. Our execution framework assumes every AI intent is fully compromised until cryptographic validation proves otherwise.
Our engineering team publishes 80+ peer-reviewed analyses on EU AI Act compliance, TEE attestation, and xAI Grok intent judge architectures.
As AI scales across industries, the transition from experimental models to mission-critical enterprise systems highlights a glaring vulnerability: trust. How can organizations...
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Discover how ATL-Trust integrates xAI Grok-4.6 as an authoritative secondary intent judge to catch semantic intent drift, unapproved tool parameters, and stealth rogue behavior...
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Article 14 mandates effective human oversight ('Human-in-the-Loop') for high-risk AI. Learn how to implement dynamic circuit breakers that pause execution for human approval.
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