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Lakera Guard Review

Lakera Guard is an AI security API that provides real-time scanning for prompt injections, jailbreaks, and sensitive data exfiltration across Large Language Model (LLM) applications.

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Lakera Guard — product screenshot

Why it matters

1Achieved 98%+ detection rates for prompt attacks with sub-50ms latency.
2Supports real-time scanning across over 100 languages for multilingual attacks.
3Acquired by Check Point Software Technologies in September 2025 for approximately $300 million.
4Offers a free tier for initial evaluation and testing.

Stork’s verdict on Lakera Guard

Lakera Guard provides real-time LLM attack protection with 98%+ detection, but it's an API with less customization than open-source options.

Lakera Guard reviewed by Stork AI · stork.ai/en/lakera-guard

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Lakera Guard?

Lakera Guard is an AI security API tool developed by Lakera (acquired by Check Point Software Technologies) that enables businesses and developers to protect Large Language Model (LLM) applications from various threats. It provides real-time runtime protection by inspecting both inputs and outputs to detect and block malicious activities. The API acts as a security layer between users and LLMs, designed to identify and mitigate risks such as prompt injection, jailbreaks, and sensitive data exfiltration. It is compatible with any LLM, including those from OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock, and self-hosted models, making it suitable for enterprise-grade protection in customer-facing AI applications, particularly for Fortune 500 companies and those in regulated sectors like banking and finance.

features

Key Features of Lakera Guard

Lakera Guard provides a comprehensive suite of features designed to secure LLM applications at runtime, focusing on real-time threat detection and data protection. Its capabilities extend across various attack vectors and compliance requirements.

  • Real-time scanning for prompt injections, jailbreaks, and system prompt extraction across 100+ languages.
  • Detection and redaction of Personally Identifiable Information (PII) and secrets in inputs and outputs.
  • Custom data pattern matching for Data Loss Prevention (DLP) in LLM interactions.
  • Content moderation to filter toxic, hateful, violent, and inappropriate content, supporting custom policies.
  • Hallucination detection to identify model outputs misaligned with input context or expected behavior.
  • Shadow AI discovery across applications and browsers to identify unauthorized LLM usage.
  • Granular policy controls configurable by user, application, and action.
  • Risk-based GenAI Red Teaming capabilities for proactive security testing.
  • Protection against multilingual and multimodal attacks.

use cases

Who Should Use Lakera Guard?

Lakera Guard is primarily designed for organizations and developers building and deploying Large Language Model (LLM) applications that require robust, enterprise-grade security and compliance. Its features cater to a range of specific use cases where AI security is paramount.

  • Workforce AI Security: Organizations aiming to protect and govern employee AI usage, ensuring compliance and preventing data leakage.
  • AI Agent Security: Enterprises deploying AI agents that require runtime protection and governance to prevent malicious actions or data exfiltration.
  • AI Red Teaming: Teams conducting risk-based testing for AI applications to identify vulnerabilities before deployment.
  • Conversational Agents: Businesses developing customer-facing chatbots or virtual assistants that need protection against prompt attacks and inappropriate content.
  • Document/RAG Agents: Applications utilizing Retrieval Augmented Generation (RAG) that require secure handling of sensitive documents and prevention of data leakage.
  • GenAI Gateway Security: Companies implementing a centralized security layer for all GenAI interactions within their infrastructure.
  • Fortune 500 Companies: Large enterprises requiring scalable and robust AI security solutions for their diverse LLM deployments.
  • Regulated Industries: Organizations in sectors like banking and finance that must adhere to strict data privacy and security regulations.

how to use

How to Use Lakera Guard

Lakera Guard is designed as a developer-first API for integration into LLM applications. It can be deployed within minutes, often requiring a single line of code to establish real-time protection.

  • 1Obtain an API key by signing up on the Lakera.ai website.
  • 2Integrate the Lakera Guard API into your LLM application's input and output pipelines using provided SDKs or direct API calls.
  • 3Configure specific security policies and granular controls for prompt attack detection, data leakage prevention, and content moderation.
  • 4Deploy the protected LLM application, allowing Lakera Guard to scan interactions in real time.
  • 5Monitor security dashboards for insights into detected threats and attack patterns.
  • 6Utilize Lakera Guard's threat intelligence, informed by datasets like Gandalf, to adapt to emerging GenAI threats.

pricing

Lakera Guard Pricing & Plans

Lakera Guard operates on a freemium model, offering a free tier for initial access and evaluation, alongside paid tiers designed for enterprise-grade usage. While specific pricing details for paid tiers are not publicly disclosed, the service is positioned for businesses requiring robust, scalable AI security solutions.

  • Free Tier: Provides access to core features for testing and development.
  • Paid Tier: Offers advanced capabilities, higher usage limits, and enterprise-level support, with pricing available upon inquiry.

Pros

  • +Achieves 98%+ detection rates for prompt attacks with sub-50ms latency.
  • +Provides real-time runtime protection for LLM applications against prompt injections, jailbreaks, and data leakage.
  • +Supports over 100 languages for comprehensive multilingual attack detection.
  • +Offers robust data leakage prevention through PII detection, redaction, and custom data pattern matching.
  • +Designed as a developer-first API, enabling quick integration (often with a single line of code).
  • +Achieved SOC 2 Type I compliance, indicating adherence to security and privacy standards.

Cons

  • −Specific pricing for paid tiers is not publicly detailed, requiring direct inquiry.
  • −User reviews suggest it can be expensive for some use cases.
  • −Some users have noted limited customization options compared to open-source alternatives.
  • −As an API service, it requires integration into existing LLM application pipelines.
  • −The acquisition by Check Point Software Technologies in September 2025 may alter future product roadmap and sales channels.

Similar Tools

Lakera Guard vs Competitors

Lakera Guard operates within a competitive landscape of AI security solutions, each offering distinct approaches to protecting Large Language Model applications. Its primary differentiation lies in its real-time API-first approach, high detection rates, and low latency.

1
LLM Guard (by Protect AI)On StorkCompare

An open-source, highly modular toolkit offering extensive input and output scanners for real-time LLM security and compliance.

As an open-source solution, it provides full control over detection logic and keeps data on the user's infrastructure, unlike Lakera Guard's managed API service, but requires self-hosting and maintenance.

2
NeMo Guardrails (NVIDIA)On StorkCompare

Leverages LLMs for safety decisions and offers unique multi-turn dialog flow control through its Colang language.

NeMo Guardrails provides a flexible framework for defining rules and controls that govern how an LLM interacts with users, including comprehensive safety categories and multi-turn dialog control, which extends beyond Lakera Guard's real-time input/output scanning.

3
PromptWall (by NullVector)↗

Offers a comprehensive AI security platform including a prompt firewall, AI DLP, and AI governance, extending beyond just injection detection.

PromptWall is a platform designed for enterprise AI security with broader coverage for AI DLP, governance, and secure gateway features across multiple AI access surfaces, whereas Lakera Guard primarily focuses on prompt injection detection as an API service.

4
Oligo Security↗

Provides real-time runtime intelligence across code, cloud, and AI, focusing on behavioral detection to stop attacks in progress.

Oligo Security offers a defense-in-depth approach by continuously observing model behavior, agent actions, and tool use at runtime, which is a broader scope of real-time threat detection and response compared to Lakera Guard's focus on prompt and output scanning.

5
Wiz AI-APPOn StorkCompare

A unified, cloud-native application protection platform (CNAPP) that secures the entire AI lifecycle from code to runtime, across infrastructure, models, data, and applications.

Wiz AI-APP provides a comprehensive AI security posture management and application protection platform, offering end-to-end visibility and protection for cloud and AI systems, which is a broader and more integrated offering compared to Lakera Guard's specialized real-time prompt protection API.

Visit Lakera Guard↗
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GitHubgithub.com/lakeraai
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