agentic_security
Active·★ 1.9k·APACHE·Updated 2026-06-23
★ Trending
Agentic Security is an open-source vulnerability scanner designed to protect AI systems and LLM agent workflows. It detects and mitigates threats like jailbreaks, fuzzing, and multimodal attacks.
agentic_security is currently grouped under Security & Safety, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Multimodal Attacks and AI system vulnerability testing. The listed license is APACHE, which is useful when adoption constraints matter. It also shows measurable community traction with 1.9k GitHub stars.
#AI Security#LLM#Vulnerability Scanner#Jailbreak Detection#Fuzzing
01
Features
01Multimodal Attacks
02Multi-Step Jailbreaks
03Comprehensive Fuzzing
04API Integration & Stress Testing
05RL-Based Attacks
02
Why choose it
+Multimodal Attacks
+AI system vulnerability testing
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a APACHE license, which makes adoption and review easier.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
Garak
Supported
Verified via docs
InspectAI
Supported
Verified via docs
llm-adaptive-attacks
Supported
Verified via docs
Hugging Face Datasets
Supported
Verified via docs
Local CSV Datasets
Supported
Verified via docs
05
Quick start
1
$ pip install agentic_security
06
Use cases
↳AI system vulnerability testing
↳LLM security research
↳DevSecOps for AI
07
How it compares
≈agentic_security sits in the Security & Safety category, so it makes more sense to evaluate it alongside tools like awesome-n8n-templates instead of in isolation.
≈If your main need is closer to "AI system vulnerability testing", that use case is a better lens for comparison than broad feature checklists alone.
≈agentic_security uses a APACHE license, and community traction are both easier to judge in category context.
08
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