【イベント】TrendAI™ Spark 2026 開催
AIセキュリティの最前線を探るグローバルイベント「Spark 2026」を全国5都市で開催します。
CISA's BOD 26-04 and a new Five Eyes statement highlight the same urgent gaps in vulnerability management. Find out what these developments mean for your security program.
How agentic AI, nation-state actors, and cybercrime-as-a-service are outpacing financial sector defenses, and how defenders can respond at machine speed
AI agents have evolved from tools to autonomous participants in your organization, but governance has not kept pace. TrendAI™ proposes a six-pillar framework built to close that gap.
Governments around the world are committing billions to domestic AI development, but the race to create sovereign AI strategies has outpaced a clear understanding of what sovereignty actually requires. This research offers government and enterprise leaders a practical, layer-by-layer framework for determining how sovereign they need to be, and where it matters most.
Poor secret management in MCP servers can lead to serious consequences, including data breaches and supply chain attacks. This article examines the reality of these unsecure configurations and offers practical recommendations that minimize the chances of exposure.
As large language models (LLMs) become more capable and widely adopted, the risk of unintended or adversarial outputs grows, especially within a security-sensitive context. To identify and mitigate such risks, Trend Micro researchers ran LLM security scans that simulate adversarial attacks.
OpenAI recently introduced ChatGPT agent. What are its capabilities and the associated cybersecurity risks? We examined these using Trend Micro’s Digital Assistant Framework to help organizations navigate the changes and risks this new digital assistant may bring.
As agentic AI systems grow increasingly complex, it becomes clear that this class of applications relies on a multi-layered architecture. Trying to chart such architecture reveals several security risks that could plague each layer. This article investigates the possible scenarios and offers actionable insights to secure each layer and combat such threats.
As open-source AI models become foundational to digital infrastructure, hidden backdoors and tampered supply chains pose a growing, under-recognized threat that traditional security tools can fail to detect.
Exposed MCP servers pose a risk for organizations utilizing them. Our research examined the types of concerns that emerge and how to keep systems safe through immediate and extended measures.
This report takes a comprehensive look at how deepfakes are used to support criminal business processes, what are the toolkits criminals are exploiting to power their deepfake creation, and what the deepfake underground looks like.
Our latest research provides a framework for understanding agentic AI systems, outlines their core characteristics, and examines the security implications surrounding their use.
Our research examines how AI coding assistants can hallucinate plausible but non-existent package names—therefore enabling slopsquatting attacks—while also providing practical defense strategies that organizations can implement to secure their development pipelines
This research discusses how residential proxies help cybercriminals bypass antifraud and IT security systems, and how vulnerabilities in the IoT supply chain are exploited where Android-based devices are shipped pre-infected.
July 23rd, 2026 
3 min read