TRINIGARD

CLAUDE LIES

Every LLM hallucinates. TriniGard sits between your data and your model, verifying claims against authoritative sources before they reach your users.

Try Live Demo Executive Summary
0.98
Max Confidence Threshold
29+
Requests Per Second
47
E2E Tests Passing
SOC2
Audit Trail Ready

Why TriniGard?

TriniGard is not a prompt guardrail. It is a governance layer that verifies factual claims against your own data.

🔎

Multi-Source Verification

Query PostgreSQL, REST APIs, and Elasticsearch in parallel. Cross-reference claims against your authoritative data sources, not just pattern matching.

⚙️

Configurable Trust Thresholds

Per-use-case confidence levels from 0.65 (customer support) to 0.98 (aviation safety). Set your risk tolerance, not ours.

📋

Immutable Audit Trail

Write-ahead logging with HMAC signing and async DB sync. Every verification decision is cryptographically logged for SOC2/HIPAA compliance.

🔗

Vendor Independence

Abstract adapter pattern supports any data source or LLM provider. Switch from Claude to GPT to your own model without changing verification logic.

⚡

Low-Latency Pipeline

Redis-cached verification results, circuit breakers, and parallel source queries. Sub-300ms verification in typical deployments.

🧪

Admin Dashboard

React-based web UI for use case management, live verification testing, audit review, and system health monitoring.

🔒

Role-Based Access Control

Three-tier roles (admin/editor/viewer) with JWT authentication. Control who creates use cases, runs verifications, and manages system settings.

🌐

Multi-Tenant Architecture

Isolate teams, departments, or customers with per-tenant configuration, quotas, and independent trust policies.

📄

SOC2 Report Generation

Generate compliance reports covering 10 control checks including access control, audit logging, data retention, and change management.

⏳

Data Retention Policies

Configure automatic cleanup of audit logs and verification results per tenant. Stay compliant with GDPR, HIPAA, and internal data policies.

📊

Production Monitoring

Integrated Prometheus metrics, Grafana dashboards, and Alertmanager alerts. Track verification latency, error rates, and system health in real time.

🚀

CI/CD Pipeline

GitHub Actions for automated testing, linting, security scanning, and Docker image builds on every push and pull request.

Built for High-Stakes Verticals

Each industry has different risk tolerances. TriniGard adapts to yours.

Vertical Confidence Threshold Max Discrepancies Required Sources Fallback
Healthcare (Medical Diagnosis) 0.97 1 3 reject
Aviation Safety 0.98 0 3 reject
Financial Compliance 0.95 1 2 flag_for_review
Legal Contract Review 0.92 1 2 flag_for_review
Gaming Regulatory 0.93 1 2 flag_for_review
Customer Support (Low Risk) 0.65–0.80 2–5 1 proceed_with_warning

How It Works

TriniGard inserts itself between your LLM and your users. Simple architecture, powerful verification.

1.

Submit Text

Send LLM-generated text to TriniGard along with the use case ID.

2.

Parallel Query

TriniGard queries configured data sources in parallel: PostgreSQL, APIs, Elasticsearch.

3.

Score & Decide

Confidence score computed against your threshold. Pass, flag, or reject.

4.

Audit & Log

Every decision logged to WAL with HMAC signature, synced to PostgreSQL.

Ready to Verify?

Try the live demo or read the executive one-pager.

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