Sentinel fits in most and the Scan in all architectures

Deploy Sentinel into your existing AI infrastructure with minimal disruption. Our implementation process connects to your AI systems, workflows, and governance frameworks, ensuring monitoring begins without requiring wholesale system changes. Whether you're running proprietary models or open-source solutions, Sentinel integrates with your current architecture.

Catches you before you fall

Multi-Trace Logging (MTL) frames track your AI's internal processes in real time, detecting bias, hallucinations, and performance instability that external gateway checks miss. While traditional monitoring validates inputs and outputs, Sentinel observes what happens inside the model itself, thereby catching failures before they reach production or end users.

Signaling process that guides you

When Sentinel identifies an issue, you need clear action protocols. Our framework defines severity levels, escalation paths, and remediation workflows tailored to your regulatory environment. For highly regulated sectors like finance and healthcare, documented incident response isn't optional; it is mandatory for compliance and audit readiness.

Builds competence with AI

Your compliance officers, technical teams, and risk managers learn to interpret monitoring data, respond to alerts, and maintain ongoing compliance posture. Training ensures your team can demonstrate accountability to regulators, understand what Sentinel detects, and explain your AI governance approach with confidence.

Saves useful proof for every act as long as required

EU AI Act compliance and similar regulations require verifiable records of monitoring activities, detected incidents, and remediation actions. Sentinel automatically generates audit trails that prove your AI systems are monitored, accountable, and compliant. The processes turn regulatory requirements into defensible documentation.

Don't let legislation stand in the way of your ambitions.