How it works
See RAIDS AI in action
A full walkthrough of the RAIDS platform: from initial connection to real-time anomaly detection and audit-ready reporting.
The platform, step by step
Six stages, from initial connection to a complete compliance trail.
Connect
RAIDS integrates alongside your existing AI systems without disruption. Plug in and monitoring begins. No model access required, no re-architecture, no friction.
Monitor from a single dashboard
Every connected system is visible in one place. Live activity, anomaly detections, and AI Trust scores across your entire AI environment. Filter by custom time ranges to understand how each system behaves over time.
Establish a behavioral baseline
Each monitored system gets its own baseline, defining what normal looks like for that specific environment. Upload historical data to accelerate setup, or let RAIDS collect and learn behavior patterns automatically from live activity.
Detect anomalies in real time
All incoming activity is continuously evaluated against the baseline. The moment behavior falls outside expected patterns, RAIDS flags the event immediately with a full breakdown: severity level, affected outputs, and the specific behavioral indicators that triggered the detection.
93% detection accuracy. 23ms average latency.
Investigate without guesswork
Drill into any flagged event. Review individual prompts and responses. Understand exactly why a response was considered risky, inconsistent, or outside expected behavior. Every detection builds a clear operational trail for internal review, governance teams, and future audits.
Validate and improve over time
Teams validate detections directly inside the platform. Continuous feedback refines monitoring accuracy over time. Flagged events consolidate into a dedicated notifications view so high-risk behavior stays visible without manually reviewing large volumes of activity.
Analyze model inputs and outputs without requiring access to model internals
Real-Time Detection
Real-time detection of anomalous AI behavior. Sub-100ms latency (23ms average), 93% detection accuracy, 7% false-positive rate in production.
Non-invasive Monitoring
Works with any AI system by analyzing inputs and outputs without requiring access to model internals, training data, or proprietary algorithms. Data can be anonymized and sanitized before monitoring.
Behavioral Baseline Monitoring
Establishes a statistical baseline of normal behavior for each system and detects deviations in real time, catching both sudden anomalies and gradual drift.
Explainability & Evidence
Generates clear explanations of detected anomalies, enabling rapid incident investigation. Will soon produce audit-ready documentation for regulatory requirements and insurance validation.
Partnerships
Working with the Partners your clients already trust
