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Lakera Guard
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Lakera Guard
Protect your LLM applications with a few lines of code.
# Developer Tools
Featured on : Oct 19. 2023
Featured on : Oct 19. 2023
What is Lakera Guard?
The fastest and easiest way to protect your LLM-powered applications. Safeguard against prompt injection attacks, hallucinations, data leakage, toxic language, and more with Lakera Guard API. Built by devs, for devs. Integrate it with a few lines of code.
Problem
Developers face challenges in securing LLM-powered applications against prompt injection attacks, hallucinations, data leakage, toxic language, and more. Traditional security solutions may not effectively address these unique issues.
Solution
Lakera Guard API is a solution that developers can integrate into their LLM-powered applications with a few lines of code to protect against a range of threats including prompt injection, hallucinations, data leakage, and toxic language.
Customers
The primary users of Lakera Guard are software developers and development teams specifically focusing on applications powered by large language models (LLMs).
Unique Features
Lakera Guard emphasizes a quick and easy integration process requiring just a few lines of code, tailored specifically for securing LLM-powered applications against a unique set of threats including prompt injections and hallucinations.
User Comments
Users appreciate the ease of integration.
There's a positive feedback about the effectiveness in securing LLM applications.
Developers highlight the importance of protecting against specific LLM-related threats.
Positive remarks on the simplicity of making LLM applications secure.
Comments on the good response from Lakera Guard's support team.
Traction
Due to the constraints, specific traction data is unavailable without access to current product platforms or the product's official release notes.
Market Size
The market size for cybersecurity in LLM applications is expected to grow significantly, with cybersecurity spending overall projected to reach $170.4 billion in 2022 according to Gartner.