Layer

LLM Runtime Security

Enable detection and response across all enterprise LLM applications.

Deploy LLMs with Confidence

GenAI applications are being rapidly integrated into corporate environments. These applications are prone to unique security risks that are hidden from view and limit an enterprise's ability to secure their deployment and govern their use. A scalable solution is essential for security teams to provide comprehensive visibility and robust security monitoring to deploy GenAI with confidence.

Layer provides granular LLM runtime security insights and the necessary tools for detection and response to help prevent unauthorized data access and excess privileges, adversarial attacks, and integrity breaches so you can build, adopt, and deploy Large Language Models (LLMs) confidently, at scale.

End-To-End LLM Security

Deep end-to-end telemetry collection and threat analysis at runtime on LLM actions, going beyond inputs and outputs to retrieval, and calls that are related to agents and RAG.

Flexible Deployment

Lightweight deployment options using eBPF, and agent-less alternatives (coming soon). These options enable deep telemetry collection without introducing latency or increasing costs.

Deploy on Any LLM

Efficiently secure Large Language Model applications, whether it's based on a vendor-managed model or a proprietary LLM, ensuring secure and compliant LLM deployments.

Purpose Built No Code Workflows for Security Teams

Automated Discovery

Layer enables automated discovery and telemetry collection on internally built and deployed LLM applications.

Portable and Interoperable

Layer offers a broad set of integrations to SIEMs, SOARs, and notification and ticketing solutions.

Runtime Protection

Layer’s runtime capabilities allow for real time detection and blocking of threats across the entire LLM application, including connected systems and actions beyond input and outputs.

Turnkey and Custom Policies

Layer enables quick time to value with out-of-the-box or custom built policies informed by granular threat scanners.