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Bleeping Computer
Chinese hackers used ARTEX, an open-source, multi-agent AI penetration-testing framework, in attacks against more than 200 organizations across 14 countries. [...]
The Hacker News
Threat actors are continuing to leverage artificial intelligence (AI) to streamline their operations, with one financially motivated hacking group employing an autonomous, multi-agent attack framework to carry out a large-scale credential harvesting campaign within six hours. Google Threat Intelligence Group (GTIG) said it has observed attackers with diverse motivations targeting proprietary AI
Bleeping Computer
Threat actors are increasingly switching from AI-powered coding assistants to multi-agent frameworks that automate every stage of an attack. [...]
Dark Reading
The company, one of four finalists in this year's Black Hat USA Startup Spotlight competition, uses multi-agent system to build AI Digital Employees.
The Hacker News
Cybersecurity researchers have disclosed details of three now-patched security flaws impacting LangGraph, including a critical vulnerability chain that could result in remote code execution. LangGraph is an open-source framework created by LangChain to build complex, stateful, and multi-agent artificial intelligence (AI) agentic applications. "An SQL injection in LangGraph's function could
The Hacker News
Threat actors have been observed attempting to exploit a recently disclosed security vulnerability in PraisonAI, an open-source multi-agent orchestration framework, within four hours of its public disclosure. The vulnerability in question is CVE-2026-44338 (CVSS score: 7.3), a case of missing authentication that exposes sensitive endpoints to anyone, potentially allowing an attacker to invoke
The Hacker News
The SOC of 2026 will no longer be a human-only battlefield. As organizations scale and threats evolve in sophistication and velocity, a new generation of AI-powered agents is reshaping how Security Operations Centers (SOCs) detect, respond, and adapt. But not all AI SOC platforms are created equal. From prompt-dependent copilots to autonomous, multi-agent systems, the current market offers
Dark Reading
The 'Breaking' News: The OpenAI–Hugging Face Incident - A Technical Reconstruction and Its Implications for AI At this Black Hat USA 2026 talk, OpenAI security engineers and researchers will reconstruct the OpenAI-Hugging Face incident and examine its implications for AI security, cyber resilience, and alignment. Throughout the session, they will share insights that address key topics raised by the Black Hat Review Board, including model safeguards, evaluation and containment practices, defensive use cases for AI, and the broader implications of increasingly autonomous systems for the cybersecurity community. The session will trace the models' attack path, including how frontier models are sandboxed during evaluations, how the models exploited a zero-day vulnerability to gain internet access, and how they identified and leveraged a remote code execution path on Hugging Face infrastructure. Drawing on the joint investigation, the speakers will explain how the activity was detected, contained, and investigated. They will also discuss the changes OpenAI is making to strengthen evaluation environments, containment controls, and monitoring capabilities, as well as the role AI systems played in supporting the investigation and response. In addition to the technical reconstruction of the incident, the session will address broader questions relevant to the security community, including lessons for improving AI system security, defensive applications of AI in incident response, and approaches to mitigating emerging risks associated with increasingly capable models. The discussion will also examine alignment challenges associated with long-running agents, including reward hacking, shifts in model behavior and persona over extended trajectories, and information sharing across multi-agent systems. Finally, the speakers will explore what this incident suggests about emerging AI cyber capabilities and how organizations can use AI to strengthen prevention, detection, investigation, and response efforts.
Check Point Research
By Yarden Porat AI agents need memory. Frameworks like LangGraph provide it through checkpointers – persistence layers that store execution state. But what happens when that persistence layer isn’t locked down? Key Points Background LangGraph is an open-source framework for building stateful, multi-agent AI systems with built-in persistence. It’s an extension of LangChain, with over […] The post appeared first on . From SQLi to RCE – Exploiting LangGraph’s Checkpointer Check Point Research