Lakera vs Prompt Security
Both compete in Runtime Enforcement & Guardrails. Lakera positions itself as “AI-native security platform guarding GenAI apps against prompt attacks and data loss”, while Prompt Securityleads with “Runtime security for enterprise GenAI usage, applications, and AI agents”. The table below compares what each publishes.
Where Lakera pulls ahead
Security teams needing continuously updated, model-agnostic runtime protection for GenAI apps
Where Prompt Security pulls ahead
Publishes support for GDPR, which Lakera does not. Security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents
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 | Runtime security for enterprise GenAI usage, applications, and AI agents |
|---|---|---|
| Category | Runtime Enforcement & Guardrails | Runtime Enforcement & Guardrails |
| Frameworks | EU AI Act, NIST AI RMF | NIST AI RMF, EU AI Act, GDPR |
| Deployment | SaaS, On-prem, API | SaaS, On-prem, API |
| Built for | Security, Data Science / ML | Security, Risk, Compliance |
| Founded | 2021 | 2023 |
| Headquarters | Zurich, Switzerland | Tel Aviv, Israel |
| Ownership | Acquired by Check Point Software (announced 2025, ~$300M; deal expected to close Q4 2025) | Acquired by SentinelOne (announced August 2025, reported ~$250M) |
| Funding | ~$30M total; $20M Series A (2024) led by Atomico with Citi Ventures and Dropbox Ventures | ~$23M total; investors include Hetz Ventures, Jump Capital, Ridge Ventures, Okta, F5 |
| Pricing | Commercial SaaS / enterprise licensing (free community tier for Lakera Guard) | Enterprise licensing / subscription |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, Azure OpenAI, LangChain, Model-agnostic REST API | OpenAI, Anthropic, Google, Browser extensions / proxy, MCP servers, Enterprise SSO/SIEM |
| Notable customers | Dropbox, Citi, Microsoft (Gandalf for security training) | None published |
| Best for | Security teams needing continuously updated, model-agnostic runtime protection for GenAI apps | Security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents |
| 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 | Being integrated into SentinelOne, so standalone roadmap may converge with that platform; primarily security-focused rather than a full GRC/compliance suite |
Which should you shortlist?
Choose Lakera if security teams needing continuously updated, model-agnostic runtime protection for GenAI apps
Choose Prompt Security if security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
AI Governance Tool Selection Kit
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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