NexusNest vs LLM Guard
An honest, feature-by-feature comparison. An open-source Python library (now part of Protect AI / Palo Alto Networks) that scans LLM inputs and outputs for safety and security risks. Built for developers integrating AI into their products - not for IT admins governing employee usage.
| Capability | NexusNest | LLM Guard |
|---|---|---|
What it protects | Your organisation from the AI tools your employees use | AI applications you build - protects them from injection, jailbreaks, and data leaks at the API layer |
Who deploys it | IT / security admins. No developer integration | Developers building AI features. Library is integrated into application code |
Form factor | Lightweight device agent | Python SDK (`pip install llm-guard`) plus an optional REST API server for non-Python apps |
Coverage | All outbound AI traffic from every device the agent is installed on | Only the specific app where the developer integrates the SDK |
Anonymisation | One-way redaction - originals never stored, no reverse mapping | Reversible anonymisation - can de-anonymise outputs back to originals |
Scanner breadth | PII, financial, health, credentials, internal docs, source code (admin-tunable) | 35 scanners - 15 input, 20 output (Anonymize, PromptInjection, Secrets, Toxicity, FactualConsistency, ReadingTime, MaliciousURLs, etc.) |
Hosting | Managed cloud or self-hosted | Self-hosted always (open source). CPU-only inference works, no GPU required |
Admin dashboard | Full admin console: policies, users, quotas, analytics, audit log | None - developers configure via code |
Network monitoring | NetLens - full HTTP/HTTPS metadata | Not in scope - scans payloads, not network traffic |
Licensing | Per-seat, published pricing | MIT-licensed open source. Commercial Protect AI Platform pricing not public |
Pick NexusNest if
You need to control what your employees paste into ChatGPT, Claude, Copilot, Cursor, Gemini. You want IT-managed governance with a dashboard, not a library developers wire in per app.
Pick LLM Guard if
You're building an AI feature into your own product and need server-side input/output filtering - prompt injection defence, content moderation, secrets detection inside your application. Many teams use both: NexusNest for employee AI usage, LLM Guard inside their own AI products.
Evaluating more than one vendor?
We wrote a 12-question checklist that forces every AI DLP vendor to answer the same things - coverage, detection layers, latency, compliance, and pricing - so you can compare apples-to-apples.
See the AI DLP buyer's checklistWe do our best to keep these comparisons fair. If we've got something wrong about LLM Guard, email hello@nexusnest.io and we'll fix it.