Best LLM security tool

Combined ranking

1. 1
   Lakera Guard—5 pts

   Claude #1

   Best-in-class prompt injection detection trained on the massive real-world attack corpus from Gandalf, delivered as a sub-100ms API that screens direct and indirect injection plus PII/data-leak signals in outputs; Check Point's 2025 acquisition adds enterprise staying power without (so far) killing the standalone product. Assumption: the typical practitioner wants a drop-in inline check with vendor-maintained detection, not a DIY classifier.

   Where it falls short

   per Claude Commercial SaaS in the request path — teams with strict data-residency or no-third-party-prompt rules need the self-hosted tier, which is enterprise-priced and negotiated.

2. 2
   LlamaFirewallincumbent—4 pts

   Claude #2

   The strongest open-source defense stack — PromptGuard 2 (small, fast injection classifier), AlignmentCheck (catches goal hijacking mid-agent-trajectory), and CodeShield — free, self-hostable, and purpose-built for the agentic pipelines where indirect injection turns into data exfiltration; the only OSS option engineered for the full injection-to-exfiltration chain rather than single-prompt scoring.

   Where it falls short

   per Claude You own all the glue — tuning thresholds, updates, dashboards, and incident response are yours, and AlignmentCheck needs a capable judge model, adding real latency and cost per agent step.

3. 3
   PPrompt Security—3 pts

   Claude #3

   The most complete commercial coverage of the exfiltration half — DLP-style detection and redaction of PII, secrets, and proprietary data in both prompts and responses, plus injection defense for homegrown apps, agents, and MCP traffic, with SentinelOne's backing post-acquisition; near-tie with Prompt Shields below, ranked ahead because it addresses both halves of the question rather than detection only.

   Where it falls short

   per Claude An enterprise platform with platform pricing and deployment overhead — overkill for a single app team that just needs an inline injection check.

4. 4
   Microsoft Prompt Shields—2 pts

   Claude #4

   Managed, cheap, and near-zero integration for Azure shops — detects direct jailbreaks and, critically, indirect injection embedded in retrieved documents (the main RAG exfiltration vector), with native hooks into Azure OpenAI and Defender for Cloud; spotlighting support hardens the prompt itself. Assumption: a large share of typical production AI apps already run on Azure OpenAI.

   Where it falls short

   per Claude Azure-locked and detection-only — you get a classifier verdict with little policy customization, and it's a weak fit outside the Microsoft stack.

5. 5
   NVIDIA NeMo Guardrailsincumbent—1 pts

   Claude #5

   The best open-source way to compose layered defenses — programmable Colang rails orchestrating jailbreak detectors, topic restrictions, output checks, and third-party classifiers (including PromptGuard and Lakera) in one runtime, production-proven and actively maintained.

   Where it falls short

   per Claude It's an orchestration framework, not a detector — out-of-the-box injection catching is weak until you wire in real classifiers, and Colang is a genuine learning curve.

Just missed the top 5

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously