567 matches found
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...
EUVD-2025-198528
Roo Code is an AI-powered autonomous coding agent that lives in users' editors. Prior to version 3.26.7, Due to an error in validation it was possible for Roo to automatically execute commands that did not match the allow list prefixes. This issue has been patched in version 3.26.7...
AI as Cyberattacker
From Anthropic: In mid-September 2025, we detected suspicious activity that later investigation determined to be a highly sophisticated espionage campaign. The attackers used AI’s “agentic” capabilities to an unprecedented degree--using AI not just as an advisor, but to execute the cyberattacks...
It’s not personal, it’s just business
Welcome to this week's edition of the Threat Source newsletter. This week, we explore how advances in agentic AI are rapidly transforming the cyber crime business. Agentic AI programming gives AI agents autonomy, allowing them to interact with external systems to collect information, make decisio...
CVE-2025-10702
Improper Control of Generation of Code 'Code Injection' vulnerability in Progress DataDirect Connect for JDBC drivers, Progress DataDirect Open Access JDBC driver and Hybrid Data Pipeline allows Remote Code Inclusion. The SpyAttribute connection option implemented by the DataDirect Connect for JD...
Hiding in the AI Traffic: Abusing MCP for LLM-Powered Agentic Red Teaming
Generative AI is reshaping offensive cybersecurity by enabling autonomous red team agents that can plan, execute, and adapt during penetration tests. However, existing approaches face trade-offs between generality and specialization, and practical deployments reveal challenges such as...
Ambient and autonomous security for the agentic era
Over the past year, I've had countless conversations with customers who are striving to unlock human ambition with AI. They are on their journey to become Frontier Firms, where humans and agents push the boundaries of innovation and create new possibilities, empowering humans to become limitless...