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AI Output Governance

Control what your AI says before users see it. Aguardic evaluates every LLM response against your safety, brand, and compliance policies in real time.

AI Is Generating Content You Haven't Approved

Language models are powerful but unpredictable. Without governance, every API response is a liability — from hallucinated claims to leaked training data.

Models hallucinate facts, citations, and medical or legal advice
Responses leak PII, internal data, or confidential context
Brand voice and tone vary wildly across prompts and models
There's no record of what your AI said to customers

Why Keyword Filters Don't Work

Keyword lists can't catch nuanced policy violations
Regex patterns miss context — 'kill the process' isn't a threat
Static filters can't adapt to new models or prompt techniques
No visibility into what was blocked, why, or how often

AI governance requires understanding — not just pattern matching.

How Aguardic Governs AI Outputs

Evaluate every LLM response before it reaches users. Define what's acceptable, enforce it in real time, and log everything for compliance.

1

Define AI output policies

Write rules for hallucination detection, PII filtering, brand voice compliance, and topic restrictions.

2

Intercept every LLM response

Aguardic sits between your application and the LLM provider, evaluating every response before delivery.

3

Enforce with block, replace, or monitor

Block unsafe responses with a 403, replace content with approved alternatives, or silently log for review.

4

Log everything for compliance

Every evaluation is recorded with the prompt, response, policy match, and decision — ready for audit.

Example Rules

Real rules teams enforce on every AI response. Start with these or write your own.

Block responses containing medical or legal advice

Safety

Flag hallucinated citations or fabricated sources

Accuracy

Prevent PII from appearing in AI-generated responses

Privacy

Enforce brand voice guidelines on customer-facing outputs

Brand

Block competitor mentions or product comparisons

Brand

Flag responses that contradict published documentation

Accuracy

Require disclaimer on AI-generated financial content

Compliance

Block responses exceeding confidence threshold without sources

Safety

What Happens When a Rule Triggers

Deterministic outcomes your team can rely on. Every violation is handled the same way, every time.

Request returns 403

Unsafe responses are blocked before reaching the user. Your application receives a clear error with the policy that triggered.

Response is replaced

Configurable fallback responses replace unsafe content while maintaining the user experience.

Evidence logged for audit

Every evaluation is recorded — prompt, response, matched policy, and decision — for compliance reporting.

Team is alerted

Configurable notifications alert your team to violations via email, Slack, or webhook.

Policy Templates for AI

Start with pre-built policy templates from the Aguardic Marketplace. Customize or fork as needed.

Integrates with Your AI Stack

Works with every major LLM provider. Add Aguardic as a middleware layer or use our API for custom integrations.

Start Governing AI Outputs Today

Connect your LLM providers, apply proven policies, and enforce AI safety before responses reach users.