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Lakera

AI-native security platform protecting generative AI applications and agent systems.

Last updated: Jun 24, 2026

About Lakera

Lakera is an AI-native security platform designed to protect enterprise teams deploying generative AI and autonomous agents. The platform focuses on runtime protection rather than just access control, preventing prompt injections, data leakage, jailbreaks, and other AI-specific attacks in real-time. It serves organizations ranging from Fortune 500 companies to startups seeking to accelerate their GenAI initiatives without sacrificing security. The platform operates with sub-50ms latency and is backed by data from over 1 million hackers, enabling it to monitor over 100 languages simultaneously. Lakera offers three main product lines: Workforce AI Security for controlling employee AI usage, AI Agent Security for runtime protection of AI applications, and AI Red Teaming for vulnerability management. A potential limitation is that the platform requires integration into deployment workflows, which may necessitate development team coordination.

At a glance

Company
Lakera Inc
Platforms
Web, API
Integrations
Snyk
Last verified
June 2026
Last updated: June 24, 2026

Who It's For

  • Enterprise companies deploying generative AI applications
  • Fortune 500 organizations managing GenAI risks
  • Financial institutions and regulated industries using LLM-powered systems
  • Development teams building AI agents and autonomous systems
  • Security teams overseeing employee AI tool usage

How It Works

  1. 1Uses real-time threat detection powered by data from 1M+ security researchers and hackers
  2. 2Applies context-aware approach to reduce risks by 3-4 orders of magnitude
  3. 3Monitors 100+ languages across applications and AI models continuously
  4. 4Delivers sub-50ms runtime latency for minimal performance impact
  5. 5Operates as model-agnostic and multimodal security layer for any GenAI system

How to Use Lakera

  1. 1Deploy Lakera runtime protection into AI applications and agent systems
  2. 2Configure granular policies by user, app, and action through central policy control
  3. 3Monitor shadow AI usage across employee apps and browsers
  4. 4Leverage AI Red Teaming to identify vulnerabilities before they impact production
  5. 5Integrate with existing development workflows without code changes required

Key Features

  • Workforce AI Security - employee AI usage monitoring and context-aware data protection
  • AI Agent Security - runtime protection for autonomous AI applications
  • AI Red Teaming - risk-based vulnerability detection with collaborative remediation
  • Real-time threat detection across multiple languages and modalities
  • Central policy control customizable by user, app, and action
  • Sub-50ms latency runtime security
  • Model-agnostic and multimodal support
  • Direct and indirect attack simulation capabilities
  • Dynamic, evolving security that adapts to emerging threats

Use Cases

  • Securing enterprise GenAI deployments across regulated industries like banking and finance
  • Protecting LLM-powered applications from prompt injection and jailbreak attacks
  • Controlling and monitoring employee AI tool usage across shadow applications
  • Conducting continuous AI security risk assessments and red team operations
  • Ensuring compliance and user trust in AI-powered customer-facing applications

Pros & Cons

Advantages

  • Industry-leading precision reducing risks by 3-4 orders of magnitude with context-aware approach
  • Extremely low latency (sub-50ms) enabling real-time security without performance degradation
  • Model-agnostic design works across any AI model, chatbots, and emerging modalities
  • Continuously evolving threat detection powered by real data from 1M+ security researchers

Disadvantages

  • Requires integration into deployment workflows, potentially necessitating development team involvement
  • Pricing and free tier offerings not explicitly detailed on the main website
  • Limited information about API capabilities and developer tooling specifics

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Frequently Asked Questions

What is Lakera?

Lakera is an AI-native security platform designed to protect enterprise teams deploying generative AI and autonomous agents. The platform focuses on runtime protection rather than just access control, preventing prompt injections, data leakage, jailbreaks, and other AI-specific attacks in real-time.

How much does Lakera cost?

Lakera uses custom pricing — contact the vendor for a quote.

Is Lakera free?

Lakera is a paid tool and does not offer a free plan.

What are the best Lakera alternatives?

Popular Lakera alternatives include Escape, GENTRACE, HiddenLayer.

What is Lakera used for?

Lakera is commonly used for Securing enterprise GenAI deployments across regulated industries like banking and finance, Protecting LLM-powered applications from prompt injection and jailbreak attacks, Controlling and monitoring employee AI tool usage across shadow applications.

What platforms does Lakera support?

Lakera is available on Web, API.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.