Research

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.

AI skills bridge the gap between AI capabilities and real-world operations, but in doing so, they also introduce new risks and avenues for attack. We explore the challenges of AI skill adoption and provide a practical framework for secure deployment.

The 2025 criminal AI battlefield underscores the robust weaponization of the rapidly growing technology. From criminal large language models (LLMs) and AI-powered malware to deepfakes at scale, threats are advancing on every front. Looking back on the year in criminal AI is crucial for hardening defenses and preparing for what’s next.

We challenge assumptions about AI models by revealing real-world biases and limitations, and the impact of poorly managed AI adoptions.

Trend™ Research introduces a novel system that leverages AI and behavioral analytics to proactively estimate the risk of future malware outbreaks based on users’ behavior to help organizations strategically strengthen their defenses.

We dive into the transformation from “Cybercrime-as-a-Service“ to “Cybercrime-as-a-Sidekick“, which fundamentally alters the operational dynamics of criminal enterprises.

AI’s rapid growth brings new risks as well as opportunities. Strong security foundations are essential to ensure innovation remains safe, compliant, and resilient.

Trend Vision One™ tackles 9 of OWASP’s Top 10 LLM vulnerabilities, offering comprehensive protection against prompt injection, data leakage, AI supply chain risks, and other critical flaws.

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.