Topics / #security-automation

Security-automation projects on GitHub

Automating security testing and operations with AI-driven pipelines.

As of , the most-starred Security-automation projects on GitHub are strix (69.1K stars), shannon (49K stars) and Anthropic-Cybersecurity-Skills (34.6K stars). GitHub.Locker tracks 11 Security-automation repositories with 222.4K stars combined. The fastest-growing on October 16 was pentagi, with +219 stars in a day.

11Projects
222.4KStars in total
+606Stars in a day

Hot right now

Most stars gained in a day · Oct 16

The all-time top

11 projects · by stars

  1. #1 · usestrix/strix

    strix

    Strix is an open-source tool that uses autonomous AI agents to pentest your application like real hackers: it runs your code dynamically, finds vulnerabilities, and proves them with working exploits instead of just flagging suspicious patterns.

    69.1K
  2. #2 · KeygraphHQ/shannon

    shannon

    Shannon is an autonomous AI pentester that analyzes your web application's source code, maps attack vectors, and then executes real exploits against the running app to prove vulnerabilities before they reach production — 'no exploit, no report'.

    49K
  3. #3 · mukul975/Anthropic-Cybersecurity-Skills

    Anthropic-Cybersecurity-Skills

    An open-source library of 818 production-grade cybersecurity skills for AI agents, covering 34 security domains and mapped to six frameworks including MITRE ATT&CK and NIST CSF 2.0.

    34.6K
  1. 4

    pentagi

    30.8Kvxcontrol/pentagi · Go

    PentAGI (Penetration testing Artificial General Intelligence) is a fully autonomous AI agent system that performs complex penetration testing tasks for you.

  2. 5

    wazuh

    17.3Kwazuh/wazuh · C++

    Wazuh is a free, open source security platform (XDR and SIEM) for threat prevention, detection and response across on-premises, virtualized, containerized and cloud workloads.

  3. 6

    vuls

    12.3Kfuture-architect/vuls · Go

    Vuls is an open-source, agent-less vulnerability scanner written in Go. It automatically detects vulnerabilities affecting your servers and can generate reports on a regular basis, for example via CRON.

  4. 7

    defending-code-reference-harness

    7.6Kanthropics/defending-code-reference-harness · Python

    A reference implementation from Anthropic for finding and fixing vulnerabilities with Claude: a set of Claude Code skills (quickstart, threat-model, vuln-scan, triage, patch, customize) plus an autonomous scanning harness that runs a recon-find-verify-report-patch loop, built from learnings partnering with security teams.

  5. 8

    BEAR-C2

    703S3N4T0R-0X0/BEAR-C2 · Python

    BEAR-C2 is an adversary simulation and emulation framework for red team operations, built around real-world TTPs inspired by Russian, Chinese, North Korean, and Iranian APT groups.

  6. 9

    gh-secure

    653GitHubSecurityLab/gh-secure · Shell

    gh-secure is a GitHub CLI extension that turns on five recommended security features on a repository — branch protection, private vulnerability reporting, secret scanning, Dependabot, and code scanning — in about 2 minutes.

  7. 10

    cynative

    223cynative/cynative · Go

    Cynative is an open-source AI agent framework that gives LLMs live, read-only access to your AWS, Azure, GCP, Kubernetes, GitHub and GitLab infrastructure so you can ask security questions and run cloud security posture and detection checks.

  8. 11

    docker

    165decionis/docker · Go

    Decionis for Docker is an execution-authority layer for AI agents: before an agent performs a sensitive action like deploying infrastructure or calling a privileged MCP tool, it checks a deterministic policy and returns PROCEED, HOLD, or BLOCK.

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