AI usage policy enforcement
Policies without enforcement are suggestions. PromptWall automates AI governance with configurable rules that enforce security controls at the point of interaction — in real-time, across every AI surface.
Policy without enforcement is a memo
Most organizations have AI usage policies. Few enforce them automatically. Written policies tell employees what they should do. Automated enforcement ensures they do it. PromptWall bridges this gap by evaluating every AI interaction against governance policies and applying enforcement actions in real-time.
Policy rule examples
PII detected (> 80% confidence)
Replace detected entities with tokens, allow prompt to proceed
Injection attempt (> 70% ML score)
Prevent prompt from reaching AI provider, log incident
Document similarity (> 85%)
Allow but alert security team for manual review
Unapproved AI provider
Restrict access to approved AI tools only
After-hours AI usage
Log for anomalous activity review
Credential pattern detected
Prevent API keys and passwords from reaching AI
Configurable enforcement
Each policy rule consists of conditions (what triggers the rule), thresholds (sensitivity level), scope (which users, teams, or AI providers it applies to), and actions (what happens when triggered). Rules are evaluated in priority order, and the first matching rule determines the enforcement action.
Real-time evaluation
Policy evaluation happens inline — before the prompt reaches the AI provider. Detection engines produce signals (PII confidence scores, injection classifications, similarity scores), and the policy engine maps these signals to enforcement actions within milliseconds.
Multi-tenant policy isolation
Each tenant manages independent policy sets. A financial services tenant may enforce strict PII blocking and provider restrictions. A technology tenant may allow broader AI usage with masking controls. Both operate within the same PromptWall deployment with complete policy isolation.
Automate AI governance
Deploy configurable policy enforcement across all AI surfaces.
Frequently asked questions
What enforcement actions are available?+
Four enforcement actions: Allow (pass through with logging), Mask (replace sensitive entities with tokens), Flag (pass through but alert security team), Block (prevent prompt from reaching the provider). Actions are configurable per policy rule.
Can policies differ by user role?+
Yes. Role-based policies allow different enforcement for different teams. Engineers may have Copilot access with credential masking. HR may have ChatGPT access with PII blocking. Executives may have broad access with audit logging. Each role gets appropriate security controls.
How quickly can I deploy a new policy?+
New policies take effect immediately after configuration — no deployment, restart, or agent update required. The policy engine evaluates rules in real-time, so changes are enforced on the next AI interaction.