AI Output Verification

Verify Every Output
Before It Reaches Users

Schema validation, output sanitization, and compliance enforcement for AI systems.

Don't let hallucinations, malformed data, or compliance violations reach production. The Verification Engine validates every AI response, API output, and MCP tool result against your business rules.

Schema Validation
PII Detection
EU AI Act Ready

What is the Verification Engine?

The last line of defense between AI outputs and your users

Output Validation at Scale

Every AI response, API output, and MCP tool result passes through the Verification Engine. We validate structure, content, and compliance before anything reaches end users.

Schema Validation
JSON Schema, type checking, required fields, format validation
PII Detection & Redaction
Auto-detect SSN, credit cards, emails, phone numbers - redact before output
Hallucination Detection
Confidence scoring, fact-checking, consistency validation
Compliance Enforcement
EU AI Act, GDPR, HIPAA - audit logs and validation reports

The Problem: Unverified AI Outputs

AI systems hallucinate, leak PII, violate business rules, and produce malformed data. Without verification, these errors reach production and damage trust.

Hallucinated Facts
LLMs confidently state false information as fact
PII Leakage
AI outputs accidentally include sensitive user data
Malformed Data
Wrong types, missing fields, invalid formats break downstream systems
Compliance Violations
EU AI Act requires output validation - fines up to 7% of global revenue

How Verification Works

Multi-layer validation catches errors before they reach users

Verification Pipeline
1. AI Generates Output
LLM response, API result, or MCP tool output ready for validation
2. Verification Engine Analysis
Multi-layer validation in <15ms
Schema: JSON structure valid ✓
PII Scan: No sensitive data ✓
Confidence: 94% (above threshold)
Compliance: EU AI Act ✓
3. Validated Output Delivered
Clean, verified response reaches end user with full audit trail

Schema Validation

JSON Schema enforcement, type checking, required fields, format validation (dates, emails, URLs)

Content Analysis

PII detection, profanity filtering, brand safety, competitor mention blocking

AI Quality Checks

Hallucination detection, confidence scoring, fact verification against source data

Compliance Rules

EU AI Act, GDPR, HIPAA validation with audit logs and compliance reports

Verification Use Cases

Protect your users from AI errors in every scenario

LLM Response Validation

Verify ChatGPT, Claude, and Gemini responses before showing to users. Detect hallucinations, enforce output formats, redact accidental PII leakage, and block off-topic responses.

Hallucination detection
Format enforcement
PII redaction

MCP Tool Output Verification

Validate results from MCP tools (file reads, database queries, API calls) before AI agents process them. Prevent data poisoning and ensure tool outputs match expected schemas.

Database result validation
File content scanning
API response checks

API Response Validation

Verify your API responses before sending to clients. Enforce schemas, detect data quality issues, and ensure compliance with API contracts and SLAs.

Schema enforcement
Data quality checks
Contract validation

Verification Engine FAQs

Everything you need to know about output verification

The Verification Engine validates AI outputs, API responses, and MCP tool results against predefined schemas, business rules, and compliance requirements. It checks for data type correctness, format validation, PII detection, hallucination patterns, and constraint enforcement. Every output is verified before reaching end users.

Questions about implementing verification?

Talk to our verification experts →
EU AI Act Compliant

Verify Every Output
Starting Today

Schema validation. Hallucination detection. Compliance enforcement. All in <15ms.

Schema validation
PII detection
Hallucination checks
EU AI Act ready

No credit card required • 14-day free trial • Full verification pipeline