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WhyLabs AI Observability Platform Features

WhyLabs AI Observability Platform Features. The WhyLabs AI Observability Platform is a cloud-agnostic solution that enables MLOps by providing model monitoring and data monitoring capabilities. It supports monitoring of any type of data at any scale. The platform helps detect data and machine learning (ML) issues faster, delivers continuous improvements, and prevents costly incidents.

WhyLabs AI Observability Platform's Core Features

Model and data health monitoring

Continuous monitoring for model input and output drift

Identification of training-serving skew

Improvement of AI performance by identifying the best model candidate and reliable features

Traceability of cohorts that contribute to model performance and introduce bias

Proactive resolution of data quality issues in feature pipelines and feature stores

LLM (Language and Learning Models) security for self-hosted and proprietary LLM APIs

Inline actions to protect against prompts with malicious intent and abuse risk

Protection against OWASP Top 10 vulnerabilities, such as prompt injections and data leakage

Continuous evaluation of LLM prompts and responses to ensure a positive user experience

Enterprise-grade features, including RBAC, SAML SSO, API controls, and advanced trigger and notification configurations

Security compliance (SOC 2 Type 2)

Hybrid SaaS deployment model for highly confidential models

Root cause analysis tools for issue investigation

Powerful monitoring algorithms for intelligent baseline and seasonal monitors

Seamless integration with existing pipelines and tools

WhyLabs AI Observability Platform's Use Cases

Financial Services: Safeguard financial services businesses from the risks of AI bias and opaqueness

Logistics & Manufacturing: Ensure AI continuously delivers an advantage to logistics and manufacturing businesses

Retail & E-commerce: Optimize retail business decisions and ensure accurate and reliable models

Healthcare: Monitor AI systems used in healthcare to ensure reliability, compliance, and patient safety

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