812 matches found
AI Can Find Bugs, But Human Knowledge Still Proves Them
Artificial intelligence AI is changing offensive security, but it has not changed the standard that matters most: a finding has to be proven before it becomes useful. AI-assisted tools can read code quickly, generate payloads, summarize attack surfaces, explain unfamiliar APIs, and run repetitive...
Agentic AI: The Weapon That No Longer Needs a Warrior
Every weapon begins as an extension of the hand that holds it. The spear lengthened the reach of the arm. The bow sent the point flying without the throw. The rifle placed a man's death a quarter mile beyond his sight, and the aircraft carried that death across oceans. At each turn, the distance...
Red-Teaming the Agentic Red-Team
The use of agentic systems to perform offensive security operations has moved from a theoretical possibility to a commoditized capability. However, while the community has focused on creating more and more capable agents, less attention has been allocated to assessing the security of those system...
kiro-cybersecurity-skills
CyberSecurity Skills A collection of 15 security workflows co...
OSCP-PEN200
🛡️ OSCP / PEN-200 Master Pentesting Database !License: MIT...
Fulcrum-OSINT-monitor
FULCRUM — Architecture Technique v3.1 Vue d'ensemble FULC...
offensive-claude-813
Offensive Security Research Config for Claude Code !TIP...
offensive-claude-982
Offensive Security Research Config for Claude Code !TIP...
offensive-claude-490
Offensive Security Research Config for Claude Code !TIP...
arsenal-tools
Arsenal — CTF & Pentest Toolkit Collection de 198 outils of...
exploit-validator
$repo Production-grade offensive security tool for Purpose...
A New Framework for Cybersecurity Refusals in AI Agents
Agentic scaffolds have dramatically improved LLM performance on complex, long-horizon tasks, yielding both broad benefits and amplified risks in domains like cybersecurity. Existing benchmarks for AI agents in cybersecurity focus mainly on measuring proficiency--how effectively agents can complet...
Cybersecurity AI (CAI) Dataset
We present CAI Dataset, a fourteen-month corpus of cybersecurity LLM trajectories collected through the open-source CAI agent framework, built in response to PentestGPT's finding that expert operator trajectories, not base-model capability, are the bottleneck for cybersecurity LLM performance. CA...
Detecting Offensive Cyber Agents: A Detection-In-Depth Approach
Artificial Intelligence AI agents can now orchestrate cyberattacks. This development is already increasing the speed and scale of cyber attacks, decreasing attack costs, and improving the operational autonomy of cyber capabilities. To defend against these emerging threats, actors must first devel...
offensive-claude
Offensive Security Research Config for Claude Code A comprehe...
portofolio_DWForSec
DwF — Cybersecurity Portfolio A professional cybersecurity po...
web-app-pentest-playbook
Web Application Pentest Playbook A structured methodology and...
01-Pentesting-and-Offensive-Security
No d...
