Credal AI
AI / LLMAn enterprise AI governance and guardrails platform — permission-aware data access, policy enforcement, and audit logging for internal AI applications.
Overview
Credal AI sits between an enterprise's data and its AI applications, enforcing who can see what, applying data-loss-prevention policies, redacting sensitive content, and logging every interaction for audit. For internal RAG and AI assistants, this is the layer that turns a risky deployment into an approved one — permissions are enforced at access time, not hoped for in a prompt. It is squarely an enterprise tool: the problems it solves (compliance, audit, permission leaks) are problems large, regulated organizations have.
Pros & Cons
Pros
- Permission-aware access enforced at retrieval time
- Data-loss-prevention and redaction policies
- Full audit logging for compliance
- Purpose-built for governed internal AI
Cons
- Enterprise-only — overkill for small teams
- Adds a layer to the AI architecture
- Pricing requires a sales conversation
Workflows that use Credal AI
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