Open Source Lakera Alternatives

Lakera is an AI-native security platform built specifically to protect large language model applications, AI agents, and enterprise GenAI deployments from a new class of runtime threats. Rather than adapting traditional application security tooling, Lakera inspects prompts, model outputs, and agent actions in real time, detecting prompt injection attempts, jailbreaks, data exfiltration, and other adversarial behavior before they can affect production systems.

The platform is designed to sit in the request path with minimal overhead, offering sub-50ms runtime latency and support for over 100 languages so multilingual attacks can’t slip past detection. Its threat detection is context-aware and model-agnostic, working across conversational agents, document and RAG pipelines, and connected multi-agent systems, and it gives security teams a central policy layer to define and enforce rules by user, application, and action. Lakera also surfaces shadow AI usage across an organization’s applications and browsers, helping security teams see where GenAI is already running unmanaged.

Lakera is aimed at enterprises operating in regulated or high-stakes environments, including banking, financial services, and healthcare, alongside Fortune 500 companies and fast-moving AI startups who need to adopt generative AI without exposing themselves to novel prompt-based attack vectors.