Openlayer

Openlayer is a platform designed for AI governance and observability, enabling organizations to monitor, evaluate, and secure their AI systems in production and development. It provides automated testing with over 100 predefined tests that cover LLM-specific risks such as prompt injection, personally identifiable information (PII) leakage, hallucinations, and biased outputs. The platform integrates natively with major model providers like OpenAI and Anthropic, as well as observability tools like OpenTelemetry (OTel) and data warehouses such as Snowflake, allowing users to connect their existing AI pipelines without major architectural changes. For continuous integration and continuous delivery (CI/CD) workflows, Openlayer offers validation checks that can be triggered on every model update or deployment, automatically running a suite of tests to catch regressions before they reach production. In production, it provides real-time guardrails that intercept inference requests and responses, blocking harmful or non-compliant content based on customizable policies. The platform also supports production monitoring by tracking key metrics such as latency, throughput, error rates, and model drift, with alerting capabilities to notify teams when thresholds are exceeded. Security features include guardrails against prompt injection attacks, which attempt to manipulate LLM behavior, and output filtering to prevent the leakage of sensitive data. For compliance, Openlayer aligns with the European Union’s AI Act by automating documentation and reporting requirements, helping organizations demonstrate adherence to risk management and transparency obligations. The platform’s evaluation capabilities allow users to define custom test scenarios, such as verifying that a chatbot accurately