Artificial Intelligence · Cybersecurity
CyberStrikeAI Automates Attacks Against Japan Targets
Researchers said three attacks against organisations in Japan used AI in different ways, including one campaign that delegated a repeatable workflow to 44 agents inside CyberStrikeAI in October 2026.
- Researchers said three cyber attacks against organisations in Japan used AI at different stages of the intrusion chain.
- TrendAI said the environments it examined contained reconnaissance material, attack scripts, target lists, logs and command histories.
- For the first case, TrendAI said CyberStrikeAI used 44 agents and generated Japanese-language forms and fake login pages during an October 2026 campaign.
- Trend Micro's enterprise security division said at least 19 identifiable organisations, including at least 16 in Japan, were subjected to validation activity and received reports in the same format.
- The second case was described as human-led with LLM assistance, and the third as using AI only for tools and scripts; the researchers said there was no evidence that the three incidents shared an operator.
Researchers disclosed three attacks against Japanese organisations in which AI played different roles. TrendAI said the servers it examined held reconnaissance and attack material, target lists, logs and command histories, and that the setups ranged from manual workspaces to automated agent platforms.
The first case used CyberStrikeAI, an open-source testing tool that had previously appeared in an attack against Fortinet FortiGate appliances. TrendAI said the October 2026 campaign used 44 agents to cover reconnaissance, vulnerability checking, exploitation, persistence, theft and reporting, and to produce Japanese-language forms and fake login pages.
Trend Micro's enterprise security division said at least 19 identifiable organisations were checked in a short period, including at least 16 in Japan. It said each received a report in the same format and an evidence index, which it said pointed to a structured platform rather than informal notes.
The second case was described as human-led, with a large language model used to speed planning and tool development. One intrusion hit a GIS server with default credentials and led to the taking of cadastral and commercial records, Windows credentials and email data over 24 days in August and September 2026.
In the third case, AI was limited to developing tools and scripts, while the campaigns targeted edge devices from Cisco, Citrix, F5 and Yamaha using published vulnerabilities, management functions or credentials in configuration files. The researchers said the actor had run at least six campaigns from January to October 2026, and that there was no evidence the three incidents shared one operator.
Named in this story
People
- Bakuei Matsukawa
- named researcher who described the environments
- Joseph C Chen
- named researcher who described the environments
Companies
- Trend Micro
- its enterprise security division issued the findings
- Cisco
- one of the vendors whose edge devices were targeted
- Citrix
- one of the vendors whose edge devices were targeted
- F5
- one of the vendors whose edge devices were targeted
- Yamaha
- one of the vendors whose edge devices were targeted
Organisations
- TrendAI
- analysed three exposed server environments
Products and systems
- CyberStrikeAI
- was used in the first attack campaign
- ARTEX
- earlier autonomous AI penetration testing framework cited for comparison
- Fortinet FortiGate
- appliances previously targeted by CyberStrikeAI
- WebLogic
- server platform the actor searched for on exposed systems
Places
- Japan
- the main country targeted in the attacks
How the source tells it
The piece was written in a mildly alarmed security-news register, with repeated emphasis on speed, scale and attackers' growing use of AI.
- Alarm escalation language and worst-case framing around AI-assisted intrusion
- Urgency repeated focus on speed, scale and shortened time to weaponisation