We tracked a cryptocurrency-mining campaign exploiting CVE-2026-33017, which revealed how threat actors are now scanning exposed AI application infrastructure for their next foothold.
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.
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.
This webcast was originally aired on January 16, 2025. In this video, Kelli K. Tarala and CJ Cox discuss the challenges and strategies for improving governance, risk, and compliance (GRC) […]
Risk is real. To better understand cybersecurity risk, let’s compare cyber risks to risks in the natural world from hurricanes. We can learn lessons from hurricanes and unnamed storms in […]
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