Description
The AI Trust Fabric governs how AI systems access, use, and propagate sensitive data in real-time. It enforces trust at the point of action with non-bypassable, per-action controls built into the communication layer, ensuring secure, privacy-aware, and audit-ready AI systems.
Features
- Per-action trust enforcement
- Protocol-gapped trust for agentic workflows
- Real-time evaluation of agent actions
- Tamper-evident evidence generation
- Zero Trust architecture for AI systems
Use Cases
- Securing AI-driven access and reducing enterprise risk
- Deploying agentic systems over real data
- Enforcing data governance technically, not manually
- Faster, safer deployment of agent-based systems
- Reduced regulatory and reputational risk
Pricing
Model
N/A
Starting At
Contact vendor
Details
Trial / Tier
Deployment & Platforms
CloudOn-PremiseHybrid
Unknown
Integrations
Unknown
Target Market
Company Sizes
enterprise
Industries