News & Updates

Amid the rise of low-code automation, Microsoft Power Automate is becoming an attractive target for cybercriminals exploiting its complexity to evade detection and exfiltrate data – but demand for compromised enterprise assets is outstripping supply in the cybercriminal underground.

Security companies routinely publish detailed analyses of security incidents, making attacker tactics, techniques, and procedures (TTPs) widely known and visible. These reports often provide comprehensive insights into specific vulnerabilities that are or could be exploited, malware delivery mechanisms, and evasion techniques.

This report exposes the life cycle and tactics of task scams by presenting real-world cases as well as strategies to help identify and avoid these threats.

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.

In this article, Trend Micro discusses how the fast-moving attacks using CVE-2025-53770 and CVE-2025-53771 have underscored the essential role of virtual patching and reliable intelligence in protecting organizations against evolving threats.

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.

Trend Micro’s State of AI Security report explores how AI’s rapid adoption is transforming both business efficiency and cybercrime methods, highlighting novel threats and strategic defenses to help organizations adapt in an increasingly AI-driven world.

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.