Lakera vs Dynamo AI
Both compete in Runtime Enforcement & Guardrails. Lakera positions itself as “AI-native security platform guarding GenAI apps against prompt attacks and data loss”, while Dynamo AIleads with “Customizable runtime guardrails, evaluation, and red-teaming for enterprise generative and agentic AI”. The table below compares what each publishes.
Where Lakera pulls ahead
Security teams needing continuously updated, model-agnostic runtime protection for GenAI apps
Where Dynamo AI pulls ahead
Regulated and security-sensitive enterprises that need self-hosted, customizable runtime guardrails plus pre-deployment red-teaming for LLM and agentic applications.
Both map to EU AI Act, NIST AI RMF, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.
| Positioning | AI-native security platform guarding GenAI apps against prompt attacks and data loss | Customizable runtime guardrails, evaluation, and red-teaming for enterprise generative and agentic AI |
|---|---|---|
| Category | Runtime Enforcement & Guardrails | Runtime Enforcement & Guardrails |
| Frameworks | EU AI Act, NIST AI RMF | EU AI Act, NIST AI RMF |
| Deployment | SaaS, On-prem, API | On-prem, Cloud, API, SaaS |
| Built for | Security, Data Science / ML | Security, Compliance, Risk, Legal, Data Science / ML |
| Founded | 2021 | 2021 |
| Headquarters | Zurich, Switzerland | San Francisco, California, USA |
| Ownership | Acquired by Check Point Software (announced 2025, ~$300M; deal expected to close Q4 2025) | Independent |
| Funding | ~$30M total; $20M Series A (2024) led by Atomico with Citi Ventures and Dropbox Ventures | Approximately $19-24M total; $15M Series A (Aug 2023). Originally operated as DynamoFL |
| Pricing | Commercial SaaS / enterprise licensing (free community tier for Lakera Guard) | Not published |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, Azure OpenAI, LangChain, Model-agnostic REST API | Major LLM providers, Kubernetes |
| Notable customers | Dropbox, Citi, Microsoft (Gandalf for security training) | Qualcomm, Lenovo, Intel, Experian, U.S. Army |
| Best for | Security teams needing continuously updated, model-agnostic runtime protection for GenAI apps | Regulated and security-sensitive enterprises that need self-hosted, customizable runtime guardrails plus pre-deployment red-teaming for LLM and agentic applications. |
| Limitations | Now part of Check Point, so roadmap and packaging may shift toward that portfolio; focused on security rather than broad GRC/compliance workflow tooling | Its Kubernetes-native, self-hosted model requires meaningful engineering resources to deploy and run, making it heavier to adopt than SaaS-only governance tools and less suited to non-technical buyers. |
Which should you shortlist?
Choose Lakera if security teams needing continuously updated, model-agnostic runtime protection for GenAI apps
Choose Dynamo AI if regulated and security-sensitive enterprises that need self-hosted, customizable runtime guardrails plus pre-deployment red-teaming for LLM and agentic applications.
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
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A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.
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