Ross ROSS = Recommend OSS · open-source software intelligence for agents

msoedov/agentic_security

Some data may be outdated — see provenance labels.

Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪 observed · 2026-09-22

github.com/msoedov/agentic_security · homepage · Python · Apache-2.0 (permissive) observed · 2026-09-22

Health v2 · maintenance only

83/100

  • Activity 94
  • Release rhythm 80
  • Longevity 65

Flags: no_readme

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 12.5
  • age_days: 922
  • days_rel: 139
  • days_push: 39
  • n_releases_24m: 13

Full methodology

Adoption not part of the score

2004 stars · 289 forks observed · 2026-09-22

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

Member repositories

RepositoryRoleHealth v2
msoedov/agentic_securitymain83

For agents

markdown · JSON · MCP: product_card(name="msoedov/agentic_security")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem