Layer by Protect AI is an end-to-end LLM security monitoring and observability solution designed to enable comprehensive security, governance, and monitoring of risks across all enterprise LLM applications. Layer provides tools for detection and remediation to prevent data leakage, adversarial prompt injection attacks, and integrity breaches, enabling confident building, adoption, and deployment of Large Language Models (LLMs). It analyzes LLM prompts, responses, data retrieval, and actions for security and compliance risks, including data leakage and adversarial prompt attacks. Built on learnings from LLM Guard, Layer's no-code workflows enable collaboration between security and AI teams, with built-in remediation guidance. It allows for the secure and compliant usage of any large language model application, whether vendor-managed or custom-built. Layer collects data on all LLM interactions and calls made up and downstream, aggregating all LLM applications across deployment or usage patterns. It includes an extensive set of out-of-the-box security and governance policies to prevent data leakage and defend against adversarial prompts. Layer detects policy violations with session-based investigations that include complete conversational content and a granular review of each violation. It also provides built-in remediation guidance for detected violations and integrates with task management, security incident management, and SIEM/SOAR tools like Splunk and Datadog.
