Lakera
AI's ultimate shield: real-time threat detection, privacy, compliance.

About
Lakera offers a specialized platform for organizations looking to secure their artificial intelligence systems, particularly those utilizing generative AI. With features focused on identifying potential attacks and data privacy issues as they happen, Lakera helps companies navigate the unique risks posed by AI technologies in production environments.
The solution provides tools for simulating cyber threats and pinpointing vulnerabilities in AI models before exploitation can occur. It ensures sensitive information remains protected and helps organizations comply with international privacy laws by detecting personal data leaks and flagging non-compliant behavior. The platform can be deployed in different infrastructures, covering both cloud and on-premises scenarios for flexibility.
With a design that supports various company sizes, from early-stage startups to large enterprises, Lakera helps security and product teams maintain trust in their AI-driven services while keeping operational complexity in check. Comprehensive documentation and customer support make onboarding smoother, although teams lacking prior AI security experience may face a steeper learning curve.
Who is Lakera made for?
Lakera is aimed at technical leaders and teams responsible for deploying, managing, and securing AI applications. This includes CTOs, security engineers, product managers, and compliance officers at organizations where generative AI models are in use or under development.
It addresses needs for pro-active threat identification and regulatory compliance in sectors such as technology, finance, healthcare, and any enterprise dealing with sensitive user data. Security and product development departments, as well as dedicated AI or LLM teams, can leverage Lakera to conduct attack simulations, ensure safe AI outputs, and protect against unauthorized data exposure.
The platform is particularly relevant for companies that require stringent privacy controls and need to demonstrate due diligence in handling AI risks—whether for internal assurance or to meet client mandates. Institutions conducting AI security research or startups launching AI-driven products can also benefit from its flexible feature set.