WhyLabs
AI observability and security platform for models and LLM apps.
About
WhyLabs is an AI observability and security platform for monitoring data health, model health, and LLM application behavior in production. Its AI Control Center adds real-time guardrails against prompt injection, data leakage, and toxic outputs, claiming sub-300ms threat detection, and its open-source whylogs library enables privacy-preserving continuous profiling.
It offers a free self-serve Starter tier, with the Expert plan at $125/month, and raised a $10 million Series A co-led by Andrew Ng's AI Fund.
Independent reviews note its visualization is thinner than rivals like Evidently — you use the WhyLabs SaaS or build your own dashboards on the profiles. Accuracy figures are vendor-reported, and full capabilities require the paid platform.
What it can do
- Real-time AI security guardrails and threat detection
- Data and concept drift monitoring
- Privacy-preserving logging via open-source whylogs
- LLM behavior analytics with LangKit
Setup
Sign up for the free Starter tier at whylabs.com; install the whylogs open-source library via pip.
Prerequisites
A deployed model or LLM app to monitor; a WhyLabs account for the SaaS dashboards.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 72; Trending score 80/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.