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Not Only ARTEX: The Different Levels AI is Used in Attacks Targeting Japan

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.”

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Exploits & Zero-DaysCyber crime
Edge Under Siege: How State-Sponsored Actors Exploit Your Perimeter

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.

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AILLMs
Sockpuppeting: How a Single Line Can Bypass LLM Safety Guardrails

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.

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Cloud security
It’s By Design: The Use-After-Free of Azure Cloud

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.

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AILLMs
Guarding LLMs With a Layered Prompt Injection Representation

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.

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AI governance
From Anarchy to Authority: Closing the Governance Gap in Agentic AI

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.

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Cyber crimeDeepfakes
Unconventional Attack Surfaces: Identity Replication via Employee Digital Twins

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.

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AIExploits & Zero-Days
Old Vulnerabilities, New AI Era, Amplified Risk: How Outdated Flaws Continue to Fuel the N-Day Exploit Market

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.

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Ransomware & extortionCyber crime
Ransomware Spotlight: Agenda

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.

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Cyber riskRansomware & extortion
Forecasting Future Outbreaks: A Behavioral and Predictive Approach to Proactive Cyber Risk Management

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.

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AIThreat reports
Linhas de Falha no Ecossistema de IA: Relatório de Estado da Segurança de IA da TrendAI™

Os sistemas de IA foram o ponto de partida para o risco cibernético na segunda metade de 2025: Falhas críticas estavam em ascensão e adversários miravam todas as camadas da pilha de IA. À medida que as fraquezas subjacentes em todo o ecossistema continuam a se ampliar, as organizações devem adotar uma abordagem de defesa vigilante e centrada em IA.

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