TrendAI™ Research provides a technical analysis of a compromised EmEditor installer used to deliver multistage malware that performs a range of malicious actions.

More cybercriminals are turning to using autonomous AI tools to upgrade their attacks, as exemplified by the recent utilization of Anthropic’s Claude Code, prompting an urgent need for enterprises to adopt agentic AI-driven security platforms and proactive defenses to counter AI-related threats.

Learn why managing cloud risk demands unified visibility, continuous risk assessment, and efficient security operations. Discover how a full-featured CNAPP like Trend Vision One™ Cloud Security enables organizations to move from reactive to proactive cloud protection.

Security is a central challenge in modern application development and maintenance, requiring not just traditional practices but also a deep understanding of application architecture and data flow. While organizations now have access to rich data like logs and telemetry, the real challenge lies in translating this information into actionable insights. This article explores how leveraging those insights can help detect genuine security incidents and prevent their recurrence.

In ZDI-23-1527 and ZDI-23-1528 we uncover two possible scenarios where attackers could have compromised the Microsoft PC Manager supply chain.

This entry explores how the Chain of Thought reasoning in the DeepSeek-R1 AI model can be susceptible to prompt attacks, insecure output generation, and sensitive data theft.