comparison
Lakera Guard vs LLM Guard: which fits your compliance needs?
Lakera Guard ships as paid while LLM Guard is open source. Pick Lakera Guard for paid deployment; pick LLM Guard when open source fits your buying model better.
Paid
Lakera Guard
Runtime LLM firewall for prompt injection, jailbreaks, and data leakage — now part of Check Point.
- Category
- Enterprise Security & Guardrails
- Frameworks
- NIST AI RMF, OWASP LLM Top 10, EU AI Act, SOC 2 Type II, GDPR, ISO 27001
- Open source
- No
- Highlights
- Lakera Guard is a low-latency security layer for GenAI applications.
- It inspects every prompt and model response for prompt injection, jailbreak attempts, toxic content, and unintended PII or secret disclosure, and returns a deterministic block/allow decision.
- Detectors are continuously updated from Lakera's Gandalf-driven attack dataset (now over 100M adversarial samples).
- Deployable as a hosted API or in-VPC, with full audit logs for compliance reviews.
Open Source
LLM Guard
Archived open-source toolkit of 35+ input/output scanners. Read-only since Jul 2026 after Palo Alto Networks folded Protect AI into Prisma AIRS.
- Category
- Enterprise Security & Guardrails
- Frameworks
- GDPR, OWASP LLM Top 10
- Open source
- Yes
- Highlights
- 35+ chainable input and output scanners
- Secrets and PII detection with redaction
- Prompt-injection and jailbreak heuristics
- Self-hosted; no data leaves your environment
When to pick which
Pick Lakera Guard if
You want paid pricing, and broader framework coverage (NIST AI RMF, OWASP LLM Top 10, EU AI Act, SOC 2 Type II, GDPR, ISO 27001).
Pick LLM Guard if
You want open source pricing and self-hosting flexibility.
About Lakera Guard
Lakera Guard earned its position the hard way: Gandalf, its prompt-injection game, generated the largest known dataset of real jailbreak attempts, and that data trains the detectors. The 2025 Check Point acquisition changed its trajectory — what was a startup API is becoming the AI layer of a mainline enterprise security vendor, which matters if your security team already standardizes on Check Point tooling. Where it fits: low-latency inline screening of prompts and responses for customer-facing apps in regulated industries. Where it does not: it is not a governance system of record, and library-level output validation (structured data checks) is better served by Guardrails AI alongside it.
About LLM Guard
LLM Guard is the utility knife of the open-source stack: 35+ scanners you chain into whatever sanitization pipeline your threat model needs — PII, secrets, toxicity, bias, code detection, injection heuristics — all running in your infrastructure with zero data egress. The Protect AI acquisition by Palo Alto Networks in 2025 put a major vendor behind its maintenance without closing the source. The trade-off is operational: you own model downloads, latency tuning, and scanner threshold calibration. Teams that underinvest in calibration get either alert fatigue or silent gaps; the scanners are only as good as the thresholds you set against your own traffic.
faq
Frequently asked questions
- What's the difference between Lakera Guard and LLM Guard?
- Lakera Guard: Runtime LLM firewall for prompt injection, jailbreaks, and data leakage — now part of Check Point. LLM Guard: Archived open-source toolkit of 35+ input/output scanners. Read-only since Jul 2026 after Palo Alto Networks folded Protect AI into Prisma AIRS.
- Which is better for compliance, Lakera Guard or LLM Guard?
- Both cover OWASP LLM Top 10, GDPR. Pick based on deployment model (Paid vs Open Source) and existing tooling fit.
- Is Lakera Guard or LLM Guard open source?
- Lakera Guard: Closed source / commercial. LLM Guard: Yes — code on GitHub.
- How are Lakera Guard and LLM Guard priced?
- Lakera Guard uses a Paid model. LLM Guard uses a Open Source model. Confirm current tiers on each vendor's pricing page.
Comparisons are editorial opinions based on our published methodology, for informational purposes only. Data as of 2026-07-20. Read the disclaimer.
