aiqbench analysis
Threat actors are using open-source agentic frameworks that chain LLM-driven steps to automate intrusions across the attack lifecycle. The underlying techniques, such as stolen credentials and unpatched systems, are not new, but the speed and scale of automation are. For AI readers, the notable point is the shift from LLMs as prompting aids to autonomous multi-agent tools in offensive use, and the defensive advice offered is mostly established security practice.
ARTEX and Friends: Enter Agentic Offensive Frameworks

Written by: Aurora Blum, David Mainor, Rohit Nambiar, Omar ElAhdan, Matthew McWhirt, Will Silverstone, Bhavesh Dhake, Chris Busse Introduction Recent intrusions in which threat actors have been observed weaponizing agentic frameworks to execute highly-automated intrusions has put a spotlight on evolving adversarial use of LLMs. In our September 2026 report, Google Threat Intelligence Group (GTIG) noted that forward leaning adversaries were beginning to transition from basic prompting to agentic workflows and LLM-enabled automation. Since this publication, GTIG and Mandiant have observed multiple threat actors abusing the open-source, agentic pentesting frameworks ARTEX, Hexstrike and CAIRN in incident response engagements to conduct a broad range of actions across multiple phases of the attack life cycle. This activity has been seen across the threat landscape, as noted in a recent Wiz report. The emergence of Artex and similar agentic offensive intrusion frameworks underscores a broader shift toward threat actor adoption of open source multi-agent offensive frameworks, as well as potentially custom agentic harnesses. This represents a paradigm shift towards intrusions occurring at machine speed, with the automated chaining of complex attack paths scaling intrusions exponentially. While the mechanics of the intrusions remain the same, such as using compromised credentials and targeting unpatched systems, the speed and scale at which frameworks can exploit these known weaknesses introduces a new defensive challenge. Security teams, developers, and system administrators will need to fundamentally rethink defense strategies to counter scalable, autonomous software. We also provide defensive strategies from Mandiant Consulting. The defensive strategies suggested—control-plane isolation, short-lived credentials, least privilege, segmentation, and behavioral detection—are long-standing security best practices. Observations in the Wild We are seeing tools used by adversaries evolving towards autonomous agentic attacks. One way this is occurring is through suites of tools or frameworks designed for penetration testing (“pentesting”). These tools and frameworks orchestrate various agents using open source and frontier LLMs to automate various stages of intrusions. Historically, cyber espionage and financially motivated threat actors have taken advantage of pentesting or red-teaming platforms built for security professionals to exploit systems, such as Cobalt Strike or Metasploit. Today, adversaries are pivoting toward offensive frameworks powered by LLMs. While these frameworks have existed in the wild, they are now yielding success in intrusions in the wild, representing a critical evolution that increases both the speed and scale of intrusion activity. Since late August 2026, we have observed threat actors actively operating popular open-source multi-agent pentesting platforms like ARTEX, PentAGI, CAIRN and other potentially custom harnesses within Mandiant incident response engagements; use of these platforms has been further corroborated by our research telemetry. In these incidents, we have observed agentic activity conducting significant parts of the attack lifecycle (e.g., lateral movement, database exploitation, exfiltration preparation). Evidence of in the wild usage of these frameworks marks a critical inflection point for defenders, as agents now autonomously explore multiple attack paths, troubleshoot errors, and achieve objectives in seconds and minutes. Coupled with continual advancements in underlying LLM capabilities, the acceleration in attack velocity and scale signals a notable shift in the threat landscape that fundamentally alters traditional intrusion dynamics. ARTEX Framework ARTEX is an autonomous, multi-agent LLM-driven pentesting and offensive command-and-control (C2) platform written in Go with an embedded Next.js web console. The framework was originally developed by the user Autumn-27 and released on GitHub. Although the original repository was taken down by its creator in October 2026 due to widespread threat actor abuse, the framework continues to proliferate globally via community forks, including localized variations such as ScopeWeaver and a commercial version dubbed ARTEX PRO. ARTEX abstracts the attack lifecycle across six specialized sub-agents. By leveraging APIs from frontier and open source models, the framework translates high-level tactical goals into actionable machine commands. GTIG has observed capabilities including automated Active Directory reconnaissance, privilege escalation, target cloud-infrastructure profiling (such as harvesting Azure storage keys), to the synthesis and deployment of custom webshells. Since late August 2026, ARTEX has been adopted by a diverse range of threat actors across the motivational spectrum, including both financially motivated extortion groups and suspected cyber espionage operators. For example, the Wiz Research team has been tr
Recent intrusions in which threat actors have been observed weaponizing agentic frameworks to execute highly-automated intrusions has put a spotlight on evolving adversarial use of LLMs. In our September 2026 report, Google Threat Intelligence Group (GTIG) noted that forward leaning adversaries were beginning to transition from basic prompting to agentic workflows and LLM-enabled automation. Since this publication, GTIG and Mandiant have observed multiple threat actors abusing the open-source, agentic pentesting frameworks ARTEX, Hexstrike and CAIRN in incident response engagements to conduct a broad range of actions across multiple phases of the attack life cycle. This activity has been seen across the threat landscape, as noted in a recent Wiz report. The emergence of Artex and similar agentic offensive intrusion frameworks underscores a broader shift toward threat actor adoption of open source multi-agent offensive frameworks, as well as potentially custom agentic harnesses. This represents a paradigm shift towards intrusions occurring at machine speed, with the automated chaining of complex attack paths scaling intrusions exponentially. While the mechanics of the intrusions remain the same, such as using compromised credentials and targeting unpatched systems, the speed and scale at which frameworks can exploit these known weaknesses introduces a new defensive challenge. Security teams,…
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