Lakera

Lakera — Technical Overview

Lakera is an API-first, cloud-native AI security platform designed to protect GenAI applications and AI agents at runtime. It delivers sub-50ms latency security checks, making it suitable for integration into latency-sensitive production pipelines without degrading user experience.

Key architectural and technical highlights:

• Model-agnostic and multimodal: Works across LLMs and modalities, so it fits into any GenAI stack regardless of the underlying model provider.
• Real-time prompt injection and jailbreak prevention: Intercepts and classifies adversarial inputs before they reach the model.
• 100+ languages supported: Threat detection operates across a broad linguistic surface, reducing blind spots in global deployments.
• 0.01% production false positive rate: Precision-tuned classifiers minimize noise in security alerts, reducing alert fatigue for engineering and security teams.
• Continuous threat adaptation: The platform updates its threat intelligence automatically, requiring no manual rule updates or redeployment.
• Open source component available: Lakera maintains an open-source presence (75 GitHub stars) alongside its commercial offering.
• Integrations: Native integrations with Snyk and Slack for security toolchain and alerting workflows.
• Free tier available: Developers can begin integrating and testing without upfront commitment.