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Head-to-head · LLM Security Tools

LLM Guard vs WitnessAI

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score LLM Guard #2 in LLM Security Tools 9.2/10 Open source ✓ 4 of 5 features Visit LLM Guard
WitnessAI #7 in LLM Security Tools 8.7/10 Pricing on request ✓ 5 of 5 features Visit WitnessAI

LLM Guard leads on 0 checks, WitnessAI on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreLLM Guard · 9.2/10
  • Most featuresWitnessAI · 5 of 5

LLM Guard scores higher on our rubric for llm security tools: 9.2 against 8.7 out of 10; our editors rank them #2 and #7.

On deployment model, LLM Guard gives you Self-hosted where WitnessAI offers Cloud.

LLM Guard is the better fit for self-hosted prompt and output scanning. WitnessAI is the better fit for organizations needing governed AI activity visibility.

  • LLM Guard fits best

    Self-hosted prompt and output scanning

  • WitnessAI fits best

    Organizations needing governed AI activity visibility

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature LLM Guard 9.2/10 Visit ↗ WitnessAI 8.7/10 Visit ↗
At a glance
Editor score 9.2 8.7
Ranking #2 in LLM Security Tools #7 in LLM Security Tools
Best for Self-hosted prompt and output scanning Organizations needing governed AI activity visibility
Pricing model Free Paid
Starting price Open source Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Self-hosted Cloud
Integrations 4 integrations 6 integrations
Built for Small business, Mid-market, Enterprise Enterprise
Features LLM Guard 4/5 · WitnessAI 5/5
Prompt injection defense ✓ ✓
PII redaction ✓ ✓
Secrets detection ✓ ✓
Output guardrails ✓ ✓
Model-abuse detection Not checked yet ✓ (best)
Specs
Deployment model Self-hosted Cloud
Our review
Pros
  • Detects direct and indirect prompt injection attempts
  • Redacts PII, API tokens, private keys, and high-entropy strings
  • Integrates with OpenAI, LangChain, LlamaIndex, and LiteLLM
  • Discovers AI activity across employees, applications, models, agents, and MCP connections
  • Blocks prompt injection, jailbreaks, harmful outputs, and policy violations
  • Governs agents, MCP servers, tool calls, data masking, and audit trails
Cons
  • The project and associated models were archived on July 9, 2026
  • No longer under active development or maintenance
  • Requires self-hosted deployment through a local API or Docker
  • Pricing and plan selection require vendor engagement
  • Cloud deployment may not suit organizations requiring another deployment model
  • Its broad enterprise governance scope may exceed narrower AI security needs
Our verdict

LLM Guard is an open-source Python toolkit from Protect AI for securing applications that use large language models. It is designed for teams and developers who need self-hosted scanning of prompts and model outputs rather than a hosted…

Read the review →

WitnessAI is a cloud AI security and governance platform for organizations using public and private LLMs, AI applications, developers, and autonomous agents. It is designed for enterprises that need visibility and control across employee…

Read the review →
  1. LLM GuardLLM Security Tools 9.2Open source
  2. WitnessAILLM Security Tools 8.7Pricing on request

Strengths and trade-offs

  • LLM Guard — where it wins

    • Detects direct and indirect prompt injection attempts
    • Redacts PII, API tokens, private keys, and high-entropy strings
    • Integrates with OpenAI, LangChain, LlamaIndex, and LiteLLM

    Where it doesn't

    • The project and associated models were archived on July 9, 2026
    • No longer under active development or maintenance
    • Requires self-hosted deployment through a local API or Docker
  • WitnessAI — where it wins

    • Discovers AI activity across employees, applications, models, agents, and MCP connections
    • Blocks prompt injection, jailbreaks, harmful outputs, and policy violations
    • Governs agents, MCP servers, tool calls, data masking, and audit trails

    Where it doesn't

    • Pricing and plan selection require vendor engagement
    • Cloud deployment may not suit organizations requiring another deployment model
    • Its broad enterprise governance scope may exceed narrower AI security needs

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update