Lakera
Commercial LLM security with Lakera Guard runtime protection and Lakera Red continuous red teaming.
Technical Architecture & Overview
Lakera offers two distinct products for AI security: Lakera Guard inspects prompts and responses at runtime for prompt injection, jailbreaks, and data leakage, and Lakera Red runs continuous adversarial testing against AI applications and agents, using attack intelligence from the company red team practice. The vendor built its dataset from one of the largest LLM red team operations and reports Fortune 500 adoption.
Targeted Technical Use Cases
Production LLM applications that need commercial guardrails plus continuous adversarial testing under one vendor.
Evaluation & Trade-offs
Core Strengths
- +Runtime guard and red team product share attack intelligence.
- +Covers agentic and multi-turn attack scenarios.
- +Enterprise deployment with API integration.
Trade-Offs & Limitations
- -Commercial pricing, no open source tier.
- -Guard rules need tuning to application context.
Defensive Security Application
Blocking prompt injection and data exfiltration in production LLM applications and validating coverage through red teaming.
Frequently Asked Questions
What is Lakera?→
Lakera offers two distinct products for AI security: Lakera Guard inspects prompts and responses at runtime for prompt injection, jailbreaks, and data leakage, and Lakera Red runs continuous adversarial testing against AI applications and agents, using attack intelligence from the company red team practice. The vendor built its dataset from one of the largest LLM red team operations and reports Fortune 500 adoption.
What is Lakera used for?→
Production LLM applications that need commercial guardrails plus continuous adversarial testing under one vendor.
What are the strengths of Lakera?→
- +Runtime guard and red team product share attack intelligence.
- +Covers agentic and multi-turn attack scenarios.
- +Enterprise deployment with API integration.
What are the limitations of Lakera?→
- +Commercial pricing, no open source tier.
- +Guard rules need tuning to application context.
How is Lakera used defensively?→
Blocking prompt injection and data exfiltration in production LLM applications and validating coverage through red teaming.