Security Guardrails

We deploy an AI gateway wall between your organization and every LLM provider — OpenAI, Anthropic, Azure, Groq, or your own self-hosted models. Every request is intercepted, inspected by the full guardrail pipeline (PII masking, injection detection, content moderation, intent analysis), and only then forwarded to the approved provider. Unapproved providers and direct API access are blocked at the gateway. No data reaches any model without passing through the wall.

Key Capabilities

Multi-provider AI gateway wall — intercept requests to any public or private LLM
Provider allowlisting — block unapproved AI services (OpenAI, Anthropic, Azure, etc.)
Destination blocking — prevent direct API access that bypasses the gateway
Real-time PII detection and automatic masking (names, SSNs, emails, PHI)
Prompt injection and jailbreak classification with tunable sensitivity
Content moderation with configurable topic policies (violence, hate speech, competitor mentions)
Intent baseline and behavioral anomaly detection per user/agent
Output sanitization and response filtering with secret scanning
Role-based access control (RBAC) with per-role model, workflow, and token limits
Automated AI red teaming with 40+ attack payloads mapped to OWASP LLM Top 10
Audit logging of every intercepted and modified request

Typical Engagement

Typical engagement: 1–2 week assessment of your current LLM usage patterns, followed by a 2–3 week proxy deployment and policy tuning sprint.

Ready to get started?

Tell us about your infrastructure and security requirements. We will scope an engagement that fits.