Enterprise AI deployment isn't just a technical challenge. It's a governance challenge. RAGuard gives your security team the controls, audit trails, and policy framework they need to say yes to AI — without abdicating responsibility.
RAGuard logs every interaction with immutable records, applied policy decisions, and risk scores. ZKP-based evidence bundles provide tamper-proof attestation — prove what your AI processed and what rules were applied, without exposing interaction content to auditors.
Policy-as-code using Open Policy Agent means your AI governance is version-controlled, peer-reviewed, and deployable like any infrastructure policy. Tenant-specific rules allow different business units to operate under different risk profiles within a single deployment.
This is the question most vendors can't answer. Our JudgeLLM capability (in development) addresses autonomous agent integrity — tracking instruction provenance across multi-turn sessions and flagging authority accumulation that violates your zero-trust boundaries.
Learn about JudgeLLM →Deploy RAGuard within your own AWS, Azure, or GCP environment. AI interaction data never leaves your infrastructure. Container images with full Kubernetes and ECS support.
Integrate with your enterprise identity provider. SAML 2.0 support for Okta, Azure AD, and other standard IdPs. Role-based access control for dashboard and policy management.
Separate OPA policy contexts per business unit, team, or customer. Different risk profiles enforced independently. No policy bleed between tenants.
Forward threat events and audit logs to your existing SIEM. Webhook support for real-time alerting. Integration patterns for Splunk, Datadog, and standard log aggregators.
99.9% uptime guarantee with contractual SLA. Dedicated support channel with defined response times. Incident management aligned to your runbooks.
Enterprise tier includes access to Compl-AI (compliance automation), Remed-AI (automated remediation), and Trace-AI (AI software supply chain). The complete Zerberus governance stack.
Enterprise AI risk doesn't end at the gateway. The Zerberus platform provides a complete detect → enforce → remediate → attest loop.
Runtime gateway security for LLMs, RAG pipelines, and MCP servers. The layer you're reading about now.
Automate AI compliance workflows. Turn RAGuard's audit trails into structured compliance reports for GDPR, HIPAA, and EU AI Act requirements.
Close the loop. When RAGuard detects a policy violation pattern, Remed-AI automates the remediation workflow — policy updates, team notifications, and incident tracking.
AI software supply chain visibility. Track model provenance, dependency risk, and third-party AI component security across your AI stack.