WhyLabs
Monitor and secure AI systems with real-time observability
Overview
WhyLabs helps organizations maintain reliable AI systems by tracking model performance and data quality. It detects issues like data drift and security risks in Large Language Models (LLMs), giving teams actionable insights to prevent failures. Particularly valuable for regulated industries like healthcare and finance that need audit-ready AI operations.
Key Features
LLM Guardrails
Monitor prompts/responses to prevent harmful AI outputs
Anomaly Detection
Identify data drift and model degradation automatically
Open-Source Core
whylogs library for privacy-preserving data logging
Multi-Model Support
Monitor traditional ML and LLMs in one platform
Use Cases
Secure generative AI applications
Monitor production ML models
Track data pipeline quality
Ensure regulatory compliance
Debug model performance issues
Pros & Cons
Pros
- Open-source foundation (whylogs) with enterprise extensions
- Specialized LLM security features beyond basic monitoring
- Proven in Fortune 500 deployments across industries
- Integrates with existing ML infrastructure
Cons
- Steep learning curve for non-enterprise users
- Advanced features require technical setup
- Pricing transparency limited for small teams
Pricing Plans
Free
monthlyFeatures
- Basic monitoring
- whylogs integration
- Community support
Enterprise
monthly/annualFeatures
- Advanced LLM security
- SLA-backed support
- Role-based access control
- Audit logging
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
How does WhyLabs differ from general monitoring tools?
Specializes in AI/ML-specific metrics like data drift and LLM security, with native integrations for ML pipelines
Can I use the open-source components without the platform?
Yes, whylogs and LangKit can be used independently for data logging and LLM monitoring
Does WhyLabs support on-premise deployment?
Enterprise plan offers private cloud and on-prem options
Integrations
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