Research library: 300+ articles
Practical, vendor-neutral writing for security teams putting AI into production: OWASP LLM Top 10, MCP security, RAG attacks, agentic risk, plus the API/web/cloud/container foundations it all runs on. Free, no gate.
The exact deliverables our engagements produce.
So you can judge the output before you buy. Download them directly, no form required:
Executive Summary
Board-level posture, trend, top risks and compliance snapshot.
Detailed Findings
Every finding, risk-ranked, with evidence and remediation steps.
Sensor Fleet Report
What the sensor found across a fleet: inventory, attribution, risk.
EU AI Act Readiness
Where you stand against the EU AI Act obligations the product maps (Art. 4, 10, 14 and 15), with the evidence structure.
Detection Accuracy
Measured recall & false-positive rates for the sensor: full methodology on Research.
Download the sample reports · Detection-accuracy benchmark · Read the FAQ
Deployment, security and integration guides.
Enough to evaluate technical fit and plan a rollout.
- Sensor Deployment Guide: Windows / Linux / macOS, MDM (Intune / Jamf), auto-update, permissions, crash/reboot survival, log retention.
- Sensor Security & Data Handling: what’s collected, encryption in transit/at rest, tenant isolation, read-only discovery and opt-in audited enforcement (the CISO/CTO whitepaper).
- Jira Integration Guide & Slack Integration Guide: requirements, in-app + env setup, field mapping, testing, security.
We publish original AI-security research to move the field forward.
Our ongoing articles library covers AI attack techniques, MCP threats and defenses; the Shadow AI Risk Index methodology and our measured detection benchmark are public; and the flagship State of MCP Security 2026 landscape report is in progress.
See the AI on your fleet in about a week.
Run the sensor across your estate and receive an AI risk report and an AI Bill of Materials. The assessment is free and carries no commitment.