Silent failures
Models don't throw errors when they violate boundaries — they just answer incorrectly. You find out from compliance violations or customer complaints.
The Problem
AI models drift. You won't know until it's too late.
Your AI works perfectly in testing. In production, under real user pressure, edge cases, and boundary probing — it starts to break the rules you set.
Three failure modes most teams miss
No systematic testing
Manual testing finds maybe 5% of edge cases. Random prompts from users are not a testing strategy. By the time you see the problem, it's already in production.
Reactive, not proactive
Current approaches are post-incident: monitor logs, identify drift, patch the model, re-deploy. Slow, expensive, and trust-damaging.
The Cost
Drift is expensive
For compliance teams
Regulatory violations, audit failures, inability to prove guardrails are working. Fines, revoked licenses, brand damage.
For product teams
Users discover they can bypass your safety policies. Screenshots go viral. Trust evaporates. Features get disabled or rolled back.
For engineering teams
No way to measure behavior drift before production. Vague incidents like "model is acting weird." High-touch post-mortems, slow resolutions.
For finance
Incident response is expensive. Retraining, re-evaluation, customer support spikes. Opportunity cost of rolled-back features and disabled endpoints.
The Solution
KnowYourAI: systematic AI boundary testing
Catch drift before production. Enforce boundaries at runtime.
IntentScan — pre-production testing
- Multi-strategy probe generation — role transformation, gradual drift, language variation
- Automated boundary testing — up to 200 test cases in minutes
- Risk scoring — clear severity and confidence for each violation
- Actionable evidence — exact prompts and responses that break boundaries
IntentEnforce — runtime guardrails
- Intent classification — understand what users are asking for
- Policy enforcement — block disallowed intents, allow safe ones, clarify ambiguous requests
- Response validation — detect injection attempts and malicious responses
- Proxy layer — sits between your users and your AI, zero code changes required
The Difference
What sets KnowYourAI apart
| Capability | Manual testing | Monitoring only | KnowYourAI |
|---|---|---|---|
| Catch drift before production | Slow, incomplete | Already broken | Every deploy |
| Works with any LLM / API | Yes | Yes | Yes |
| Systematic multi-strategy testing | Not systematic | No testing | 3 strategies |
| Runtime enforcement | Not possible | Reactive only | Proactive proxy |
| Risk scoring and severity | Subjective | No scoring | Confidence & severity |
| Compliance ready | Hard to audit | Logs only | Full audit trail |
Our USP
The only platform that does both
Pre-production testing + runtime enforcement = complete AI safety coverage.
Comprehensive
Not just monitoring drift — systematically discovering it before it reaches users. Three strategies cover role subversion, gradual drift, and cross-language consistency.
Universal
Works with any LLM, any API, any deployment. OpenAI, Anthropic, Gemini, open-source, custom models — integrates in minutes without code changes.
Confidence
Risk scores, violation evidence, and intent-based routing mean you know exactly what's broken, how bad it is, and how to fix it. No guessing.
Next Step
See it in action
Try KnowYourAI on your own API in minutes.