Know and control every LLM call in your enterprise
Prevent sensitive data from leaving your organization through external AI models. Full visibility. Policy enforcement. Compliance-ready audit trails.
“Can you show me a log of every LLM call in production and prove no sensitive data was transmitted?”
— Your auditor, compliance officer, or CISO. Soon.
When that question comes, most enterprises can't answer it. The AI adoption race has outpaced security controls.
Zero Visibility
Developers calling OpenAI, Anthropic, and Azure directly. No centralized logging. No one knows what data is leaving the enterprise.
No Guardrails
Ad-hoc prompt redaction hacks. No consistent policy enforcement. PII, PHI, and confidential data flowing freely to third-party models.
Audit Impossible
When regulators ask “What models? What data? What guardrails?” — there's no answer. Security teams are reacting, not controlling.
The compliance pressure is real and growing:
Enterprise-grade AI security
A control plane that sits between your applications and external AI models. Visibility, policy enforcement, and compliance — built for enterprise scale.
Secure LLM Gateway
Reverse proxy for OpenAI, Anthropic, and Azure OpenAI. All requests flow through Guardian before reaching external models.
- Single control point for all LLM traffic
- Drop-in replacement for direct API calls
- Automatic provider failover
- Request/response encryption
PII & PHI Detection
Real-time scanning for sensitive data patterns. Detect SSNs, emails, credit cards, health records, and custom patterns.
- 30+ built-in detection patterns
- Custom regex pattern support
- Confidence scoring (0-100%)
- Context-aware detection
Policy Engine
YAML-based policy rules with flexible conditions. Different policies for different environments and workloads.
- Environment-specific rules (prod/staging/dev)
- Workload-level policies
- Confidence thresholds
- Action chaining (block → alert → log)
Immutable Audit Log
Every request logged with full context. Tamper-proof audit trails ready for compliance review.
- Request/response content (original + sanitized)
- Detection results & confidence scores
- Policy decisions & actions taken
- Workload & environment metadata
CI/CD Integration
Validate AI policies before deployment. Integrate with GitHub Actions, GitLab CI, and your existing pipelines.
- Policy-as-code validation
- Pre-commit hooks
- Deployment gating
- Drift detection
Real-Time Dashboard
Live monitoring of all LLM traffic. Visualize requests, detections, and policy actions as they happen.
- Request volume metrics
- Detection category breakdown
- Latency monitoring
- Workload-level insights
How Guardian works
A transparent proxy layer that intercepts, scans, and controls all LLM API traffic leaving your enterprise.
Intercept
All LLM requests route through Guardian proxy
Detect
Scan for PII, PHI, and sensitive patterns
Enforce
Apply policy rules: block, redact, or alert
Log
Immutable audit trail for every request
Policy as Code
Define rules in simple YAML. Different policies for different environments.
version: "1.0"
rules:
- id: block-ssn-production
description: "Block SSN in production"
scope:
environments: ["production"]
workloads: ["*"]
conditions:
- type: detection
category: ssn
confidence: 0.8
action: block
message: "SSN detected - request blocked"
- id: redact-email-staging
description: "Redact email addresses in staging"
scope:
environments: ["staging"]
conditions:
- type: detection
category: email
action: redactSub-millisecond overhead
Guardian adds less than 0.1ms overhead while providing full visibility and control over sensitive data flowing to AI APIs.
Guardian's 135μs overhead is less than 0.01% of a typical LLM request. Essentially free from a latency perspective.
To put this in perspective:
Built for audit day
When regulators or auditors ask about your AI controls, you'll have the answer — with evidence.
SOC 2 Type II
Immutable audit logs, access controls, and data encryption meet SOC 2 requirements.
HIPAA
PHI detection and redaction, comprehensive audit trails, and access logging for healthcare.
PCI DSS
Credit card pattern detection, data masking, and secure logging for payment processing.
GDPR
PII detection, data minimization, and right-to-audit support for EU compliance.
Audit-Ready Logging
Every request is logged with complete context. When auditors ask “Can you prove no sensitive data was transmitted?” — show them the logs.
- Every LLM call logged with full request/response content
- Original vs. redacted content comparison
- Detection results with confidence scores
- Policy decisions and actions taken
- Workload and environment metadata
- Timestamp and latency metrics
- Exportable reports for auditors
- Tamper-proof log integrity
{
"timestamp": "2026-02-17T14:32:01.234Z",
"request_id": "req_8f7a3b2c1d",
"workload": "chat-service",
"environment": "production",
"provider": "openai",
"model": "gpt-4o",
"detections": [
{
"category": "ssn",
"confidence": 0.95,
"match": "***-**-****"
}
],
"policy_action": "redact",
"latency_us": 127,
"original_prompt_hash": "sha256:abc123...",
"sanitized": true
}Ready to take control of your AI egress?
See AI Guardian in action. Get a personalized demo and learn how we can help you achieve compliance-ready AI operations.
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Questions?
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