Overview: The Policy & Trust Enforcement Layer
GateKeep is the policy enforcement, validation, and safety sub-product within the Kontrols ecosystem. It acts as the "front door" to your AI system, ensuring that all incoming requests, prompts, or data streams are validated, sanitized, and compliant with policy.
Mission: Prevent unsafe, biased, or non-compliant content, data, or decisions from being published or executed — automatically.
GateKeep acts as the intelligent trust firewall between the creation/experimentation layer (Kreate & Knobs) and the external world.
Core Capabilities
- Policy Definition Framework: Define governance rules for data, AI behavior, and content compliance (e.g., PII, bias, profanity).
- Input Sanitization: Strip unsafe instructions, PII, or malicious content before processing.
- Prompt Classification: Detect injection attempts, jailbreaks, or adversarial tokens.
- Pre-Deployment Validation: Automatically check AI outputs, data signals, or website content before deployment.
- Real-Time Policy Enforcement: Intercept unsafe or non-compliant responses at runtime in assistants or pipelines.
- Data Privacy Guardrails: Enforce data masking, anonymization, and secure field handling (PII, PHI).
- Compliance Rule Library: Built-in rule templates for GDPR, HIPAA, SOC2, and financial/regulatory domains.
- Ethical AI Policy Engine: Enforce fairness, diversity, and ethical usage policies within model outputs.
- Input Risk Scoring: Score and log incoming inputs for audit and compliance visibility.
- Access & Role Controls (RBAC): Define who can view, edit, or deploy experiments, content, or models.
- Audit Trail & Lineage: Track every decision, policy enforcement, and model output for audit readiness.
- Exception Handling Workflow: Allow reviewers to approve or override flagged content via a workflow approval dashboard.
Key Modules
1. Policy Engine
The core rule interpreter and enforcement logic. It supports Boolean rules, AI classifiers, and threshold-based guardrails.
2. Compliance & Risk Library
Predefined policy templates for regulatory (GDPR, HIPAA, SOC2) and ethical frameworks, customizable for domain-specific rules.
3. Real-Time Moderation Layer
AI-powered runtime moderation to filter or block unsafe responses in assistants, chatbots, or data APIs.
4. Audit & Lineage Manager
Logs every enforcement action, policy decision, and override, generating compliance lineage across the data-to-deployment lifecycle.
5. Reviewer & Exception Workflow
Allows human reviewers to inspect flagged outputs and approve or reject exceptions, providing explainable context for each enforcement event.
Key Benefits
- Prevents Compliance Breaches: Stops unsafe or non-compliant content before exposure.
- Builds Trust: Ensures transparency, explainability, and accountability.
- Cross-Product Protection: Governs data, content, and AI outputs across Kreate, Knobs, and ResultBench.
- Continuous Assurance: Monitors systems in real time, not just during testing.
- Audit-Ready Governance: Maintains detailed lineage for all enforcement actions.
- Human + AI Collaboration: Combines automation with human oversight for edge cases.
Strategic Positioning: The Trust Firewall
GateKeep ensures that every product generated by Kreate, tuned by Knobs, and validated by ResultBench meets organizational and regulatory standards before release.