454 matches found
RAPTOR - Autonomous Offensive/Defensive Security Research Framework
RAPTOR is an autonomous offensive/defensive security research framework, based on Claude Code. It empowers security research with agentic workflows and automation. RAPTOR stands for Recursive Autonomous Penetration Testing and Observation Robot...
Bounty Hunter: Autonomous, Comprehensive Emulation of Multi-Faceted Adversaries
Adversary emulation is an essential procedure for cybersecurity assessments such as evaluating an organization's security posture or facilitating structured training and research in dedicated environments. To allow for systematic and time-efficient assessments, several approaches from academia an...
crossbow-agent
🤖 crossbow-agent - The Smart Way to Secure Your System 🚀 G...
2026 API and AI Security Predictions: What Experts Expect in the Year Ahead
This is a predictions blog. We know, we know; everyone does them, and they can get a bit same-y. Chances are, you’re already bored with reading them. So, we’ve decided to do things a little bit differently this year. Instead of bombarding you with just our own predictions, we’ve decided to cast t...
Prompt injection is a problem that may never be fixed, warns NCSC
Prompt injection is shaping up to be one of the most stubborn problems in AI security, and the UK’s National Cyber Security Centre NCSC has warned that it may never be “fixed” in the way SQL injection was. Two years ago, the NCSC said prompt injection might turn out to be the “SQL injection of th...
AI vs. Human Drivers
Two competing arguments are making the rounds. The first is by a neurosurgeon in the New York Times. In an op-ed that honestly sounds like it was paid for by Waymo, the author calls driverless cars a "public health breakthrough": In medical research, there’s a practice of ending a study early whe...
Evaluating Vulnerabilities of Connected Vehicles under Cyber Attacks by Attack-Defense Tree
Connected vehicles represent a key enabler of intelligent transportation systems, where vehicles are equipped with advanced communication, sensing, and computing technologies to interact not only with one another but also with surrounding infrastructures and the environment. Through continuous da...
The Evolution of Agentic AI in Cybersecurity: From Single LLM Reasoners to Multi-Agent Systems and Autonomous Pipelines
Cybersecurity has become one of the earliest adopters of agentic AI, as security operations centers increasingly rely on multi-step reasoning, tool-driven analysis, and rapid decision-making under pressure. While individual large language models can summarize alerts or interpret unstructured...
nim-pentest-agent
NimPentestAgent Agent autonome de pentest intelligent pour CT...
BloodFang
🩸 BloodFang !Versionhttps://img.shields.io/badge/version-1...
Web Technologies Security in the AI Era: A Survey of CDN-Enhanced Defenses
The modern web stack, which is dominated by browser-based applications and API-first backends, now operates under an adversarial equilibrium where automated, AI-assisted attacks evolve continuously. Content Delivery Networks CDNs and edge computing place programmable defenses closest to users and...
Exploit for CVE-2023-1234
🤖 XBOW-Metascan: AI-Powered Autonomous Pentesting Platform !...
Charting the future of SOC: Human and AI collaboration for better security
Security operations centers are under pressure from unprecedented scale and complexity. Speed, precision, and consistency matter more than ever, and AI is everywhere—but hype alone doesn’t solve the challenge. This blog shares our journey and insights from building autonomous AI agents for MDR...
Charting the future of SOC: Human and AI collaboration for better security
Security operations centers are under pressure from unprecedented scale and complexity. Speed, precision, and consistency matter more than ever, and AI is everywhere—but hype alone doesn’t solve the challenge. This blog shares our journey and insights from building autonomous AI agents for MDR...
Amazon Is Using Specialized AI Agents for Deep Bug Hunting
Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms...
IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
Modern enterprise systems face escalating cyber threats that are increasingly dynamic, distributed, and multi-stage in nature. Traditional intrusion detection and response systems often rely on static rules and manual workflows, which limit their ability to respond with the speed and precision...
LLMs As Firmware Experts: A Runtime-Grown Tree-Of-Agents Framework
Large Language Models LLMs and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability detection. However, when applied to large-scale firmware, their performance degrades due to the binary nature of firmware, complex dependency structures, a...
Ares
Ultimate SQLi Tool v3.0 — FINAL The most powerful, autonomous...
Building Browser Agents: Architecture, Security, and Practical Solutions
Browser agents enable autonomous web interaction but face critical reliability and security challenges in production. This paper presents findings from building and operating a production browser agent. The analysis examines where current approaches fail and what prevents safe autonomous operatio...