Problem

Lakera addresses the security gap created when enterprises put generative-AI applications, copilots, RAG systems, and autonomous agents into production. Traditional cybersecurity was not designed for natural-language interfaces or model-specific attacks, leaving businesses exposed to prompt injection, jailbreaks, data leakage, data poisoning, and attacks that can manipulate an agent into taking harmful actions. The economic pain is strategic as well as technical: without controls that preserve speed and usability, companies may be unable to deploy AI and capture its potential productivity and GDP gains, while a successful attack can expose sensitive information or compromise downstream systems.

The killer use case is protecting a production AI application in real time, especially a customer-facing agent or enterprise RAG workflow. Lakera screens prompts, retrieved context, and AI interactions for malicious instructions or sensitive data before they reach the model or user, allowing companies to deploy AI more confidently without turning security review into a bottleneck or adding noticeable latency.

Product / Service

Lakera provides an AI-native security platform delivered through an API-first, cloud-oriented model. Its runtime protection, historically centered on Lakera Guard, detects and blocks prompt attacks, jailbreaks, and data leakage across conversational agents, document and RAG agents, and multimodal workflows. The platform also covers workforce AI usage, shadow-AI discovery, policy controls, and pre-deployment AI red teaming, giving security teams both testing and enforcement capabilities.

The product combines continuously updated threat intelligence from Lakera’s Gandalf adversarial-AI network with context-aware detection and centralized policy controls. Its stated benefits are model-agnostic coverage, support for more than 100 languages, sub-50-millisecond runtime latency, low false-positive rates, and deployment without changing application code. After Check Point’s acquisition, these capabilities became part of Check Point’s broader end-to-end AI security stack spanning models, agents, data, and endpoints.

Market

Lakera competes in the emerging AI-native security, LLM security, and generative-AI guardrails market, alongside vendors such as Prompt Security, Lasso Security, HiddenLayer, Protect AI, and Microsoft Security Copilot, as well as open-source tools including LLM Guard, NeMo Guardrails, and Guardrails AI. The category is expanding from simple content moderation toward full-lifecycle protection: red teaming before deployment, runtime enforcement, data-loss prevention, agent security, and governance for employees using external AI tools.

Lakera is commercial rather than pre-revenue in market terms. In 2024 it announced a $20 million Series A, bringing total funding to $30 million, and cited Dropbox, a top-three U.S. bank, and interest from more than 35% of Fortune 100 companies; its customer materials also report Fortune 500 usage and more than 100 million real-world vulnerabilities detected. A third-party estimate put 2025 revenue at $5.7 million, though public materials do not establish audited revenue. Check Point announced its acquisition of Lakera in September 2025, with completion reported later that year, providing a major-enterprise distribution channel and validating the strategic importance of the category.