Enterprise-Grade, Policy-Driven Access Control for AI Apps

AI-driven applications require security frameworks that align with dynamic access control requirements. CyberGen’s Rego Policy Framework, powered by Open Policy Agent (OPA), ensures permission-aware AI applications that strictly enforce access control rules defined within enterprise systems, maintaining security, compliance, and operational resilience.

Request A Demo

Experience

Our Journey

Secure AI Operations with Policy-Driven Controls

With Rego-powered security, AI applications assess each user prompt, enforce defined access rules, and control output generation before interacting with language models. This guarantees that AI responses adhere to enterprise policies and are protected from unauthorized use.

CyberGen’s written policies framework ensures AI applications comply with access control rules, uphold organizational policies, and prevent unauthorized actions. These written policies function at the backend, processing user inputs through a structured validation layer. The policy engine integrates with databases, application logic, and AI models to enforce role-based access, ensuring that only authorized data is retrieved and processed.

How Rego Policies Enhance AI Security

Rego policies provide AI applications with real-time governance, dynamic access control, and automated security enforcement.

Policy-Driven Security Framework

Rego enables precise, rule-based access control, ensuring role-specific permissions for AI applications. Policies can be dynamically updated to respond to security threats, providing real-time governance over model interactions, API calls, and data handling.

Automated Threat Response & Compliance Monitoring

CyberGen’s Rego-powered security model continuously evaluates AI interactions, input requests, and model responses against predefined security rules. This ensures protection against prompt injection, unauthorized API access, and adversarial attacks.

Integration with AI Risk Mitigation & OWASP Standards

Rego policies align with OWASP Top 10 LLM Security Best Practices, enabling proactive risk mitigation against data poisoning, output manipulation, and unauthorized model alterations.

Dynamic Policy Execution for AI Applications

Unlike static rule-based security models, Rego policies allow dynamic evaluation of AI-generated content, API requests, and sensitive data flows. CyberGen’s implementation of OPA ensures policies are centrally managed and version-controlled.