Lakera

Visit Website

Introduction

Lakera provides AI security products. Its site lists protection for AI applications and agents, governance of employee AI usage, and AI red teaming, including an expert-led red teaming service. Risks it targets include prompt injection, indirect prompt injection, AI data leaks, toxic content, compliance risks and multilingual and multimodal attacks.

The /v2/guard endpoint, which Lakera’s docs now describe as the integration point for Check Point AI Guardrails, screens the latest interaction of a conversation, including tool calls and tool outputs for agents, and returns a flagged result according to the project’s policy. Projects run in Detect mode to monitor without blocking, or Enforce mode to act on flags, and the docs recommend a staged rollout with calibration. Optional payloads locate PII and custom regex matches for masking.

In the quality loop Lakera covers security testing before release and runtime protection in production.

Features

1. Runtime guard: Screen prompts and responses.
2. Prompt injection detection: Direct and indirect.
3. Data leak prevention: Sensitive data checks.
4. Detect and Enforce modes: Monitor first, then block.
5. Agent screening: Tool calls and tool outputs.
6. Multilingual coverage: Attacks in many languages.

Pros

1. Security focus: Specialist AI security vendor.

Cons

1. Closed source: Hosted commercial service.
2. Pricing via sales: Advanced plans need a demo.
3. Latency: An extra API call per request.

Usage and Links (Example)

import requests
r = requests.post("https://api.lakera.ai/v2/guard",
    json={"messages": [{"role": "user", "content": user_input}], "project_id": PROJECT_ID},
    headers={"Authorization": f"Bearer {LAKERA_API_KEY}"})
if r.json().get("flagged"): block()

Resources:

• Lakera website

Pricing

Lakera offers a free way to start (Start for free on its site) and enterprise plans through a demo with sales.

Recommended for?

1. Enterprises deploying customer-facing AI.
2. Security teams needing managed AI protection.

Conclusion

Lakera is a specialist option for securing LLM applications.

Start in Detect mode and calibrate policies on your own traffic before enforcing.

On CheckOps, Lakera is filed under the Security testing and Production monitoring & observability stages. Related tools listed here include Guardrails AI, NeMo Guardrails, garak, PyRIT, DeepTeam and Giskard. When comparing them, weigh the licence, the languages and platforms each supports, whether it is self-hosted or managed, and how cleanly it slots into your existing CI pipeline. Details on this page were checked against the official website, documentation and repository on 11 November 2026.