head to head · open source

AI-Infra-Guard vs agentic_security

AI-Infra-Guard has 6,471 GitHub stars, 599 forks, 35 open issues and last shipped today. agentic_security has 2,004 stars, 289 forks, 72 open issues and last shipped 9 days ago. AI-Infra-Guard leads on adoption by 223% (6,471 vs 2,004 stars). AI-Infra-Guard is written in Python under Apache-2.0; agentic_security is written in Python under Apache-2.0. AI-Infra-Guard has attracted 9% as many forks as stars, agentic_security 14%. AI-Infra-Guard was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent-security, llm-evaluation, llm-security), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

AI-Infra-Guard ★ 6.5K agentic_security ★ 2.0K category AI & Machine Learning

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Side by side

AI-Infra-Guard agentic_security
GitHub stars ★ 6.5K ★ 2.0K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-20 2026-09-11
Forks ⑂ 599 ⑂ 289
Self-hosting Yes Yes
Data ownership Your server Your server

pick AI-Infra-Guard if

  • You weight community size — 6.5K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full AI-Infra-Guard profile →

pick agentic_security if

  • You want the agentic_security feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and agentic_security fits your workflow better

full agentic_security profile →

About AI-Infra-Guard

AI Infra Guard (A.I.G) is a full stack AI red teaming platform from Tencent Zhuque Lab that scans agents, MCP servers, agent skills and AI infrastructure for security risk and evaluates large language models against jailbreak attacks, built for security engineers and AI platform teams that need to self examine their own AI deployments.

read the full AI-Infra-Guard overview →

About agentic_security

Agentic Security is an open source vulnerability scanner and AI red teaming kit for agent workflows and large language models. It lives in the Python AI security ecosystem and is distributed under the Apache 2.0 license. The project addresses the problem of testing LLM applications and agent systems against jailbreaks, fuzzing, and multimodal attacks. It gives developers, researchers, and security teams a local workflow for probing model endpoints, dataset driven attack vectors, and safety thresholds before deployment.

read the full agentic_security overview →

More in AI & Machine Learning

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Compare either of these against the rest of the AI Security & Privacy field.

AI-Infra-Guard vs strix AI-Infra-Guard vs shannon AI-Infra-Guard vs SkillSpector AI-Infra-Guard vs iFixAi AI-Infra-Guard vs codex-security AI-Infra-Guard vs garak AI-Infra-Guard vs giskard-oss AI-Infra-Guard vs Agentic-Bug-Hunter AI-Infra-Guard vs nono AI-Infra-Guard vs CyberStrike AI-Infra-Guard vs AiSOC AI-Infra-Guard vs pentest-ai-agents

Frequently asked questions

Is AI-Infra-Guard or agentic_security more popular?

AI-Infra-Guard has 6,471 GitHub stars and agentic_security has 2,004. AI-Infra-Guard has the larger community by that measure.

Are AI-Infra-Guard and agentic_security free?

Both are open source. AI-Infra-Guard is licensed under Apache-2.0 and agentic_security under Apache-2.0. Neither carries a licence fee.

What is the difference between AI-Infra-Guard and agentic_security?

AI-Infra-Guard is written in Python and agentic_security in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AI-Infra-Guard or agentic_security?

Choose AI-Infra-Guard if you want the larger community (6,471 stars) or its Apache-2.0 licence terms. Choose agentic_security if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.