Total Transparency Across Enterprise-Wide AI Interactions
Discover AI
A Single Pane Of Glass Across Every AI Interaction
Deploy In Minutes
Install
Deploy the lightweight endpoint agent or edge appliance. MDM-friendly, no SASE prerequisite.
Monitor
Defiance AI™ watches your live AI traffic in monitoring mode and names each client and agent.
Report
You get the AI Usage Risk Report, walked through by a PurpleSec practitioner.
Key Features Of Discover AI
Discover answers the board’s first question about AI. Are we using it, who is using it, and where is it exposing us?
Overview Dashboard
- Consolidates AI inventory, users, agents, and open risks into one live view.
- Surfaces unsanctioned AI endpoints from the last 24 hours as a number, not a rumor.
- Trends risk posture week over week for a defensible “getting better or worse” answer.
- Feeds board reporting directly, cutting the manual slide cycle most AI programs still run on.
AI Inventory
- Discovers AI endpoints across hundreds of services, no certificates or routing changes.
- New endpoints surfaced within minutes of first appearance.
- Deploys via SPAN port or VPC traffic mirror, zero downtime.
- Feeds CMDB a live AI catalog, retires the spreadsheet.
- Works where TLS decryption is legally restricted — Level 1 reads no content.
User's AI Usage
- Attributes AI usage to individuals and departments, converting “AI is being used” into who and where.
- Baselines per-user behavior to flag deviations tied to insider misuse (R11) or coerced sessions.
- Ranks users by AI volume and service sensitivity so attention lands where exposure is highest.
- Feeds acceptable-use enforcement with evidence a written policy alone cannot produce.
Agentic Identity
- Separates agent traffic from human traffic via flow characteristics and JA3/JA3S fingerprints.
- Catalogs each agent’s tool-calling scope, giving Enforce the map it needs for least privilege.
- Detects unauthorized developer-introduced agents, catching R6 (Shadow Prompting) at the network layer.
- Baselines agent behavior so goal hijacking surfaces as an anomaly, not a forensic finding.
Sessions
- Logs fingerprints, severity scores, and verdicts rather than raw prompts, satisfying audit without new exposure.
- Retains metadata long enough to reconstruct any AI-related incident.
- Correlates sessions to users and agents so a suspicious output traces to the exact interaction.
- Meets EU AI Act, HIPAA, and SEC evidence obligations for reproducible AI interaction records.
Risk Posture
- Scores exposure across the seven risk categories using the impact-likelihood-detectability model.
- Auto-escalates regulation-linked risks to Critical, so GDPR findings cannot sit in the medium bucket.
- Trends posture over time as evidence that controls are working, or evidence that they are not.
- Ties each posture change to the discovery event that caused it, removing “why did this move” ambiguity.
Framework Risk
- Article-level mapping across GDPR, NIS2, DORA, EU AI Act, HIPAA.
- On-demand regulation-specific reports — audit response collapses from days to hours.
- Regulatory override fires deterministically, zero human latency.
- Mapping refreshes within 30 days of regulatory change.
- Delivers the controls evidence EU AI Act high-risk systems demand.