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In autumn 2026, companies and other organizations in Japan reported a succession of data leaks from their web systems. The Japanese government’s National Cybersecurity Office issued an alert to businesses on October 9, and the chair of the ruling party’s cybersecurity headquarters described cyberspace as being in a “state of emergency.”
The number of security incidents publicly disclosed in Japan surged from September 2026. This article reviews incidents disclosed from January through September and explains what the data reveals.
TrendAI™ incident response teams have recently investigated multiple attacks on public-facing web servers and databases. This article explains the hardening measures organizations should implement now to protect their web servers.
Ransomware has evolved from an encryption-driven attack into one monetization path within a modular criminal economy, where access to victim environments, not the ransomware payload, is now the core commodity.
Edge devices have become a primary entry point for state-sponsored espionage, giving attackers a cheaper, faster path to network access, credential theft, and traffic interception. Our report examines the threat landscape, economics, and actor activity driving this shift, along with what CISOs and security leaders can do to respond.
A jailbreak through sockpuppeting can be easily done as it requires no special tools nor optimization. It only takes a faulty prefill feature, and the gates are open. We tested 11 LLM-powered assistants against sockpuppeting and found varying levels of robustness across today's leading LLMs.
Persistent DNS references to deleted Azure resources create opportunities for attackers to take over trusted endpoints, highlighting a critical risk in cloud infrastructure. TrendAI™ Research discusses six real-world scenarios where attackers could exploit lingering DNS names, allowing them to inherit trust and compromise dependent systems.
TrendAI™ Research has developed a model training procedure for learning an essential representation of prompt injection attacks. The resulting prompt representation exhibits approximately linear separability, allowing the specialized, small-scale classifier trained on features derived from the representation to achieve high classification performance.
Agentic AI marks a fundamental shift that enables autonomous action and decision-making across enterprise systems but also introduces new, complex risks. TrendAI's Agentic Governance Gateway empowers organizations to understand, control, and trust agentic AI.
In this second installment of a series exploring emerging AI-driven attack surfaces, TrendAI™ Research focuses on employee digital twins: AI replicas of employees that create new vectors for identity compromise, data exfiltration, and persistent access.
Even as AI adoption accelerates, old exploits remain overlooked weaknesses. Underground trends show a renewed demand for exploits, with cybercriminals relying on aging but still effective vulnerabilities. We examine this blind spot and why long-standing issues need to be addressed.
Agenda has rapidly grown into one of the most prolific and dangerous ransomware operations, leveraging advanced techniques, cross-platform variants, and alliances with other major threat groups. Its aggressive double-extortion model and expanding victim base across critical industries make it a serious enterprise risk that demands proactive detection and defense.
TrendAI™ Research has found that user behaviors and machine usage patterns are key drivers of malware risk. This study’s analysis of over 10 million endpoints confirms that risk is highly context-dependent and offers insights into how organizations can pivot to improve their security posture.
AI systems were ground zero for cyber risk in the second half of 2025: Critical flaws were on the rise and adversaries targeted every layer of the AI stack. As underlying weaknesses across the ecosystem continue to widen, organizations must adopt a vigilant, AI-first approach to defense.
27 octobre 2026
20 min read