WhyLabs

WhyLabs is a comprehensive AI observability and security platform that empowers organizations to run their AI applications with certainty and control. It provides a unified solution for monitoring, securing, and optimizing a wide range of AI systems, from traditional predictive models to advanced Large Language Models (LLMs) and generative AI across any modality like images, voice, or video. The platform is trusted by thousands of users, including teams in highly regulated industries such as healthcare and finance, due to its robust, privacy-first approach.

The core mission of WhyLabs is to prevent costly model failures and security breaches before they impact the end-user experience. It enables teams to observe every aspect of their AI application's health, flag and block security risks in real-time, and automate the remediation of threats and performance issues. This facilitates seamless collaboration between machine learning, SRE, and security teams, providing a single source of truth for AI application performance and safety.

How to use WhyLabs

Using WhyLabs involves a straightforward, multi-step process designed for rapid onboarding and seamless integration:

1. Integrate with your Ecosystem: Begin by integrating WhyLabs into your existing environment. This is achieved using the open-source `whylogs` library, which supports Python, Java, Scala, and Spark. The library runs locally within your infrastructure to generate statistical profiles of your data. This means your raw data never leaves your environment, ensuring maximum privacy and security. WhyLabs also offers over 50 pre-built integrations for various cloud providers (AWS, Azure), data pipelines, and feature stores.
2. Configure Monitoring: Set up a 'Project' for each ML model, data pipeline, or LLM application you want to monitor. WhyLabs offers intelligent, zero-configuration onboarding to get started quickly, but also allows for full customization of monitors and alerts to fit your specific needs.
3. Observe and Secure in Real-Time: Once integrated, the platform continuously monitors model health, tracking metrics for data quality, data drift, and model performance. For LLMs, its security guardrails actively detect and block harmful interactions such as prompt injections, jailbreak attempts, data leakage, and toxic responses in real-time.
4. Analyze, Debug, and Optimize: Utilize the interactive dashboards to investigate alerts, perform root cause analysis, and understand model behavior. The platform provides detailed insights that help you trace performance degradation to specific data cohorts or features. These insights, captured and annotated by the guardrails, can be used to fine-tune prompts, retrain models, and continuously improve your AI applications.

Core Features of WhyLabs

• AI Observability at Scale: Continuously monitor model health across statistical and derived metrics. Detect data drift, performance degradation, and bias without sampling, observing 100% of inferences.
• LLM Security Guardrails: Protect proprietary and self-hosted LLMs by flagging and blocking harmful interactions in real-time, including prompt injections, toxic content, PII leakage, and hallucinations.
• Privacy-Preserving Architecture: Leverages the `whylogs` open-source library to create statistical profiles locally. Raw data is never moved or duplicated, ensuring SOC 2 Type 2 compliance and suitability for regulated industries.
• Support for All Modalities: Go beyond text-to-text. Secure and observe any data type, including images, documents, voice, video, and embeddings.
• Seamless Integration: Works with any cloud provider and offers 50+ integrations to connect with your entire AI and data ecosystem, from data pipelines to feature stores.
• Customization and Collaboration: Offers custom dashboards, configurable security rules (bring your own models and scenarios), and a unified view that reduces time-to-resolution and fosters collaboration between ML, SRE, and security teams.

Use Cases for WhyLabs

WhyLabs is versatile and serves various teams and industries:

• MLOps and Data Science Teams: Automate the monitoring of production models to quickly identify and resolve issues like data drift and performance decay, ensuring model reliability and accuracy.
• LLM Application Developers: Secure customer-facing generative AI applications by preventing misuse, blocking harmful content, and ensuring responses are not hallucinations, thereby protecting the user experience and brand reputation.
• Security Teams: Implement robust MLSecOps and LLMOps practices by deploying real-time guardrails to protect against adversarial attacks, data leakage, and other security vulnerabilities specific to AI systems.
• Highly Regulated Industries (Fintech, Healthcare): Deploy a powerful AI monitoring solution that meets strict data privacy and security requirements, including SOC 2 compliance, without compromising on observability capabilities.

Advantages of WhyLabs

WhyLabs offers a distinct competitive edge through its unique approach:

• Unified Platform: It combines observability, security, and optimization into a single, cohesive platform, eliminating the need for multiple point solutions.
• Proactive Threat Prevention: Instead of just alerting on issues, its guardrails actively block threats in real-time, providing a critical layer of defense.
• Unmatched Privacy and Security: The agent-based, privacy-preserving architecture is a key differentiator, making it the only SaaS solution of its kind approved for use in banking and healthcare.
• Scalable and Efficient: By profiling data instead of sampling it, WhyLabs can monitor massive datasets with high accuracy and low latency (300ms avg.), without incurring high data transfer costs.

Pricing and Plans

WhyLabs offers a flexible, tiered pricing model that is not based on data volume, providing predictable costs.

• Free Plan: Designed for individuals and small projects. Includes 1 Project, 1 user, up to 10M predictions/month, daily monitoring, and community support. No credit card required.
• Expert Plan: Priced at $125/month for teams with growing needs. Includes up to 3 Projects, 5 users, up to 100M predictions/month, and hourly monitoring for one LLM.
• Enterprise Plan: Custom pricing for large-scale deployments. Offers unlimited projects, users, and predictions, along with custom features, advanced security (SAML SSO), 24x7 enterprise support, and private support channels. A 14-day free trial is available.