msoedov/agentic_security
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪 observed · 2026-08-28
Health v2 · maintenance only
87/100
- Activity 98
- Release rhythm 87
- Longevity 62
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 12.5
- age_days: 874
- days_rel: 91
- days_push: 15
- n_releases_24m: 15
Adoption not part of the score
1977 stars · 280 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Agentic Security is an open-source LLM vulnerability scanner and AI red-teaming toolkit that probes large language models and agent workflows for jailbreaks, prompt injection, and multimodal attacks. It ships as a Python CLI and web UI that fuzzes any LLM API endpoint using adversarial prompt datasets, multi-step attacks, and RL-based probes.
Use cases
- red team my llm app for jailbreaks
- scan llm api for prompt injection vulnerabilities
- fuzz a chatbot with adversarial prompts
- test llm safety guardrails before deployment
- run owasp llm top 10 security checks
- stress test llm endpoint with attack prompts
- evaluate multimodal attack robustness of my model
When to choose
- you need automated adversarial testing of an LLM API or agent workflow
- you want a self-hosted scanner with a web UI and customizable prompt datasets
- you're doing AI red-teaming or OWASP LLM Top 10 assessments
When to avoid
- you need runtime protection or guardrails in production rather than pre-deployment scanning
- you want a guaranteed defense - the tool itself warns it is a scanner, not a foolproof solution
- you need static code analysis of your application rather than black-box LLM probing
Facets
cli-tool · maturity active
security vulnerability-scanning penetration-testing fuzzing llm-inference testing security large-language-models penetration-testing developer-tools python cli self-hosted llm-security red-teaming jailbreak prompt-injection adversarial-attacks llm-evaluation owasp-llm-top-10 multimodal-attacks ai-agents web-server docker
3 sources
- readme: https://github.com/msoedov/agentic_security · fetched 2026-08-28 · 4d400dc0c7fa
- homepage: https://agentic-security.vercel.app · fetched 2026-08-29 · 3cc9ce2fa68f
- registry_pypi: https://pypi.org/pypi/agentic_security/json · fetched 2026-08-29 · 8c5ba135d9b4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| msoedov/agentic_security | main | 87 |
For agents
markdown · JSON · MCP: product_card(name="msoedov/agentic_security")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem