Lakera vs Guardion

Both compete in Runtime Enforcement & Guardrails. Lakera positions itself as “AI-native security platform guarding GenAI apps against prompt attacks and data loss”, while Guardionleads with “Zero-trust runtime security and governance for enterprise AI agents”. The table below compares what each publishes.

Where Lakera pulls ahead

Publishes support for EU AI Act, NIST AI RMF, which Guardion does not. Security teams needing continuously updated, model-agnostic runtime protection for GenAI apps

Where Guardion pulls ahead

Regulated enterprises deploying AI agents that need zero-trust runtime governance and data protection

	Lakera	Guardion
Positioning	AI-native security platform guarding GenAI apps against prompt attacks and data loss	Zero-trust runtime security and governance for enterprise AI agents
Category	Runtime Enforcement & Guardrails	Runtime Enforcement & Guardrails
Frameworks	EU AI Act, NIST AI RMF	None published
Deployment	SaaS, On-prem, API	SaaS, On-prem, API
Built for	Security, Data Science / ML	Security, Compliance, Risk
Founded	2021	2024
Headquarters	Zurich, Switzerland	Dover, Delaware, USA
Ownership	Acquired by Check Point Software (announced 2025, ~$300M; deal expected to close Q4 2025)	Independent early-stage startup
Funding	~$30M total; $20M Series A (2024) led by Atomico with Citi Ventures and Dropbox Ventures	Not published
Pricing	Commercial SaaS / enterprise licensing (free community tier for Lakera Guard)	Enterprise licensing (not publicly detailed)
Key capabilities	Lakera Guard real-time input/output screening Prompt-injection and jailbreak detection PII and data-loss protection Content moderation Gandalf-fed live threat intelligence Automated red teaming (Lakera Red)	Zero-trust encrypted agent gateway Runtime prompt-attack detection Sensitive-data discovery and redaction Data-leakage prevention Policy enforcement across agent workflows Low-latency drop-in proxy with high-availability SLA
Integrations	OpenAI, Anthropic, Azure OpenAI, LangChain, Model-agnostic REST API	AI agents and tools via proxy, MCP / tool connections, Enterprise systems in the execution path
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	Regulated enterprises deploying AI agents that need zero-trust runtime governance and data protection
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	Very early-stage and small; limited public track record, customer references, and disclosed funding; product maturity and independent validation still developing

Which should you shortlist?

Choose Lakera if security teams needing continuously updated, model-agnostic runtime protection for GenAI apps

Choose Guardion if regulated enterprises deploying AI agents that need zero-trust runtime governance and data protection

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Lakera profile →Full Guardion profile →

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