Shadow AI Discovery - Detect & Govern Unauthorised AI Tools
AI DISCOVERY
Automatically Find & Inventory All AI
Discover every AI system across your organization, including shadow AI. Build a comprehensive inventory that always reflects reality.
- Automated discovery of all AI systems across your infrastructure
- Real-time AI inventory with continuous monitoring and updates
- Regulatory compliance ready for EU AI Act, NIST, and ISO 42001
Detecting Shadow AI
Trusted by the world's most innovative companies
THE REALITY
AI deployments don't wait for approval workflows.
Teams ship models from GitHub, spin up endpoints in AWS, integrate third-party AI tools—often without notifying governance. The gap isn't oversight. It's detection speed.
Shadow AI everywhere
- GitHub repositories
- Cloud endpoints
- Third-party integrations
- Team experiments
- Local models
- Vendor APIs
AI enters the organization through many paths—often incrementally and without centralized coordination.
Rapid deployment cycles
- Models ship daily
- Fast
- Endpoints change
- V2 → V3
- Dependencies update
- Auto
- Agents evolve
- Live
AI systems change continuously, often without a formal review boundary.
Detection speed gap
- Limited visibility
- Manual discovery
- Delayed detection
- Outdated inventories
- Inconsistent scanning
THE CAPABILITY
One job: Surface AI across your infrastructure automatically.
AI Discovery continuously scans your environment to detect AI systems the moment they appear—not months later during an audit.
- Scan Cloud Environments
- Monitor Code Repositories
- Detect Embedded AI
- Track AI Artifacts
See what's running in your cloud
Connects to AWS, Azure, and GCP to identify AI models, ML pipelines, inference endpoints, and AI-powered services.
- SageMaker Integration
- Endpoints & training jobs
- Azure ML Detection
- Workspaces & deployments
- Vertex AI Scanning
- Models & pipelines
- Serverless AI
- Lambda/Functions with AI dependencies
- Container Discovery
- Images with ML frameworks
- Managed Services
- AI-powered cloud services
How It Works
Connect. Scan. Surface.
Three steps from blind spots to complete visibility.
01
Active Connections
- Cloud: AWS, GCP
- Code: GitHub, GitLab
- Data: Snowflake, BQ
- SaaS: Slack, Notion
Integrate your infrastructure
Read-only API access to your cloud, code, and data platforms.
02
📦 Model artifacts
🔄 API usage patterns
🎯 Inference endpoints
🤖 Agent workflows
💬 Prompt traces
Automated, continuous detection
AI Discovery runs in the background, identifying new systems the moment they deploy.
03
Unified AI Inventory
- GPT-5 Chatbot
- Low risk
- Facial Recognition
- High Risk
- Financial Analysis Agent
- Medium Risk
- Customer Data Agent
- Medium Risk
Every discovery flows into your inventory
No manual entry. No spreadsheets. Just instant visibility across your entire AI landscape.
The Outcome
From reactive audits to continuous visibility
| Before AI Discovery | After AI Discovery |
|---|---|
| Teams self-report AI usage (or don't) | AI systems detected automatically as they deploy |
| Quarterly manual audits that miss 40%+ | Continuous scanning that catches everything |
| Shadow AI discovered after incidents | Shadow AI surfaced before it reaches production |
| Spreadsheet inventories outdated on arrival | Live registry updated in real-time |
| Compliance scrambles when regulators ask | Single source of truth that answers in minutes |
| Governance bottlenecked by discovery workload | Governance focused on decisions, not detection |
INTEGRATIONS
Connect to your entire AI stack
Integrate seamlessly with 230+ cloud platforms, code repositories, and AI systems—no disruption to existing workflows.
Enterprise AI Governance That Actually Works
Join the organizations that turned governance from a blocker into an enabler. Full visibility, continuous risk testing, and compliance proof — on autopilot.