Lakera Overview
Lakera is the complete AI-native security platform for enterprises building with Generative AI. It addresses the unique vulnerabilities of Large Language Models (LLMs) and AI agents that traditional security tools miss. Co-founded by experts from Google, Meta, and the aerospace industry, Lakera brings rigorous security standards to the AI world, ensuring applications are safe, compliant, and trustworthy. The platform is trusted by industry leaders like Dropbox, Cohere, and Salesforce, providing a robust defense layer for their AI-driven features.
How to use Lakera
Integrating Lakera into your AI applications is designed to be straightforward and developer-friendly, primarily through an API. The process typically involves these steps:
- Sign Up & Get API Key: Register on the Lakera platform to get access to your dashboard and generate an API key.
- Install SDK: Lakera provides SDKs for popular programming languages. Install the relevant SDK into your project environment.
- Integrate Lakera Guard: Wrap your existing LLM API calls with the Lakera Guard function. This requires just a single line of code, routing your prompts and responses through Lakera's security engine before they are processed by the LLM or sent to the user.
- Configure Policies: Use the central Lakera Security Dashboard to configure and customize security policies. You can enable or disable protections like prompt injection blocking, PII (Personally Identifiable Information) redaction, and content moderation without changing your application's code.
- Monitor and Analyze: The dashboard provides real-time visibility into all AI interactions, detected threats, and potential risks, allowing you to monitor application security and compliance status continuously.
Core Features of Lakera
- Runtime Protection: Provides real-time blocking of malicious inputs and outputs, including prompt injections, jailbreaking attempts, and data exfiltration.
- AI Visibility & Discovery: A centralized dashboard offers a complete view of all AI interactions across your organization, helping to identify shadow AI usage and assess risks.
- Continuous Threat Intelligence: The platform is powered by insights from 'Gandalf,' Lakera's AI security game played by over a million users. This provides a constantly evolving stream of threat data, detecting over 100,000 new attack patterns daily.
- Compliance and Governance: Helps organizations enforce internal security policies and adhere to external regulatory frameworks like the EU AI Act and OWASP Top 10 for LLMs.
- Developer-First API: Designed for easy integration and ultra-low latency, ensuring that security measures do not negatively impact the user experience.
- Model & Modality Agnostic: Offers protection for text, voice, and visual AI applications, and is compatible with all major foundation models from providers like OpenAI, Anthropic, Cohere, and Google.
- AI Red Teaming: Proactively identifies and helps eliminate vulnerabilities in your AI systems before they can be exploited in a production environment.
Use Cases for Lakera
Lakera is essential for any organization deploying GenAI applications. Key use cases include:
- Securing AI Chatbots & Customer Service Agents: Prevents agents from being manipulated to reveal sensitive customer data, perform unauthorized actions, or generate inappropriate responses.
- Protecting Internal Enterprise AI Tools: Safeguards against employees accidentally leaking confidential company information (e.g., source code, financial data, strategic plans) into public LLMs.
- Enforcing Content Moderation: Automatically blocks the generation of harmful, toxic, or off-brand content, ensuring brand safety and a positive user experience.
- Achieving Compliance in Regulated Industries: Enables financial, healthcare, and legal sectors to leverage GenAI while meeting strict data privacy and security standards.
- Safeguarding AI Agents with Tool Access: Protects autonomous AI agents that can interact with third-party APIs from being hijacked to perform malicious or unintended actions.
Advantages of Lakera
Lakera stands out with its AI-first security approach. Its key advantages include being proven at an enterprise scale, as demonstrated by its adoption by Fortune 500 companies. The platform's ultra-low latency is critical for maintaining performance in real-time applications. Its industry-leading precision, powered by a unique context-aware engine, significantly reduces false positives and negatives. Furthermore, its ability to detect threats across over 100 languages provides comprehensive global protection, all managed through a centralized policy control panel.
Pricing and Plans
Lakera offers a freemium pricing model designed to scale with your needs:
- Developer Plan (Free): A generous free tier aimed at individual developers and small projects. It typically includes a set number of free API calls per month and access to core security features like prompt injection detection.
- Pro/Team Plan (Paid): A self-service paid plan for growing teams and applications with higher traffic. This tier offers a larger volume of API calls, advanced features like PII detection, and standard support.
- Enterprise Plan (Custom Pricing): Tailored for large organizations with stringent security and compliance requirements. It includes unlimited API calls, advanced security controls, custom policy creation, dedicated support, Service Level Agreements (SLAs), and detailed compliance reporting. To get a quote, prospective customers need to book a demo or contact the sales team.
Traffic
Latest traffic
Status
Monthly traffic trend
- 2025-9: 426.3K
- 2026-1: 284.9K
- 2026-2: 271.7K
- 2026-3: 307.5K
- 2026-4: 274.8K
- 2026-5: 305.9K
Geography
Top 5 countries / regions
- šŗšøUnited States35.3%
- š«š·France23.9%
- š®š³India20.4%
- š°šŖKenya11.0%
- š³š“Norway9.5%
Traffic sources
| Source type | Percentage |
|---|---|
Direct | 79.3% |
Referral | 19.7% |
Email | 1.0% |
Top keywords
| Keyword | Cost per click |
|---|---|
| chatglm | $1.44 |
| gandalf | $0.55 |
| gandalf ai | $0.00 |
| gandalf lakera | $0.00 |
| lakera ai | $1.55 |
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