
Lakera Guard
Generative AI infrastructure software
Generative AI software
Large language model operationalization (LLMOps) software
AI security solutions software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Lakera Guard
Lakera Guard is an AI security product that helps organizations protect applications built on large language models (LLMs) from common risks such as prompt injection, data leakage, and unsafe outputs. It is used by teams building or operating LLM-powered chatbots, copilots, and retrieval-augmented generation (RAG) systems to apply guardrails and policy enforcement around prompts and responses. The product typically sits in the request/response path to inspect, filter, and redact content before it reaches an LLM or end user. It focuses on security controls specific to generative AI rather than general-purpose model development or analytics.
Purpose-built LLM threat coverage
The product is designed around LLM-specific attack and misuse patterns, including prompt injection and sensitive-data exfiltration attempts. This specialization can reduce the need to assemble multiple generic security tools to cover LLM interaction risks. It aligns to common enterprise concerns when deploying chat and RAG experiences to employees or customers.
Inline policy enforcement layer
Lakera Guard is positioned to operate as a control point between applications and model endpoints, enabling centralized inspection and enforcement. This approach supports consistent rules across multiple LLM-backed applications without requiring each application team to implement bespoke filtering logic. It also supports operational workflows where security teams define policies and engineering teams integrate them.
Focus on data protection
The product emphasizes preventing leakage of sensitive information through prompts and model outputs, which is a frequent requirement for regulated or privacy-sensitive deployments. It can help standardize handling of secrets, PII, and confidential text in LLM interactions. This complements LLMOps stacks that focus more on building, evaluation, and deployment than on security controls.
Not a full LLMOps platform
Lakera Guard addresses security and guardrails, but it does not replace broader LLMOps capabilities such as dataset management, experiment tracking, model training, or end-to-end application analytics. Teams typically still need separate tooling for development workflows, orchestration, and monitoring beyond security events. Buyers looking for a single consolidated platform may need additional products.
Integration and tuning effort
Inline inspection and filtering generally requires application integration and ongoing tuning to balance security with user experience. Overly strict policies can block legitimate requests, while permissive settings can miss edge cases. Organizations should plan for iterative policy refinement and testing across different use cases and languages.
Scope depends on deployment path
Coverage is strongest when all LLM traffic is routed through the guard layer; architectures with multiple model endpoints, client-side calls, or shadow integrations can reduce effectiveness. Some risks (for example, issues originating from upstream data quality or model behavior outside the request/response path) may require complementary controls. Security teams may need additional governance and monitoring to ensure complete adoption.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Community | $0 per month | Official docs state a community tier ("Community customers are restricted to 10k screening requests per month"). SaaS hosting, dashboard, API access; request limits enforced for community users (see changelog & dashboard docs). cite |
| Enterprise | Custom pricing (contact sales) | Official site/documents describe Enterprise as configurable: flexible package of API requests, SaaS or self-hosted deployment, SSO, RBAC, SIEM integration, dedicated/enterprise support and configurable request limits — pricing requires contacting sales. cite |
Seller details
Lakera AI AG
Zurich, Switzerland
2021
Private
https://www.lakera.ai/
https://x.com/lakeraai
https://www.linkedin.com/company/lakera/