# Lakera

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

- Category: Developer Tools
- Pricing: Contact for pricing
- Tags: Security, Ethical AI Tools
- Website: https://lakera.ai/?via=aigregator
- Aigregator page: https://aigregator.com/tools/lakera
- API: https://x402.aigregator.com/v1/tools/lakera

## Overview
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.
## 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

## Who It Is 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

## Pros
- 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

## Cons
- 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

## Alternatives
- [Escape](https://aigregator.com/tools/escape)
- [GENTRACE](https://aigregator.com/tools/gentrace)
- HiddenLayer
- Prompt Security

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Source: Aigregator — AI tools directory. https://aigregator.com/tools/lakera
