Tag: ai-security

Raptor transforms Claude Code into an autonomous offensive/defensive security agent. Discover how this open-source framework autonomously scans, validates, exploits, and patches vulnerabilities with multi-model consensus and Z3-backed analysis.

Discover how 0DIN AI Scanner's 179 community probes built on NVIDIA garak help organizations find vulnerabilities before deployment. Complete setup guide, real code examples, and comparison with alternatives included.

Decepticon is an open-source autonomous red team agent that executes complete cyber kill chains with 98.08% benchmark accuracy. Discover its architecture, real code examples, and why it's replacing traditional penetration testing tools.

Discover how sast-skills transforms your LLM coding assistant into a free, powerful SAST scanner. Find 13 vulnerability classes including SQL injection, XSS, and business logic flaws with zero third-party tools.

agent-smith is an open-source AI-driven offensive security agent that transforms LLMs into autonomous pentesters. With 25+ skills, dynamic chaining, and end-to-end deliverables from PoCs to patches, it's redefining how security teams approach adversarial testing.

Cochise is a 576-line Python prototype that uses LLMs to autonomously compromise Active Directory networks. Full domain admin in 90 minutes for $2. Published in ACM TOSEM with reproducible benchmarks across Claude, GPT, Gemini, and DeepSeek.

PentestGPT is an AI-powered autonomous penetration testing agent achieving 86.5% success rates on security benchmarks. Learn installation, usage, and advanced techniques for this revolutionary open-source tool.

GhidraMCP revolutionizes reverse engineering by connecting large language models to Ghidra via the Model Context Protocol. Learn how to set up this game-changing tool, explore real code examples, and discover use cases from malware analysis to vulnerability research that will 10x your productivity.

Discover how ultra-low latency voice agents like Roomey AI are transforming smart homes. This comprehensive guide covers security best practices, real-world use cases, essential tools, and a step-by-step setup to build your own private voice-controlled ecosystem.