Nouvelles de sécurité

AI systems were ground zero for cyber risk in the second half of 2025: Critical flaws were on the rise and adversaries targeted every layer of the AI stack. As underlying weaknesses across the ecosystem continue to widen, organizations must adopt a vigilant, AI-first approach to defense.

Today’s botnet operations, enabled by automation and shared resources, are outpacing traditional response and patching models. This highlights the growing importance of security capabilities that can match the speed and scale of these attacks.

AI now enables attackers to rapidly convert publicly shared personal images into scalable, highly targeted phishing intelligence, turning everyday online photos into a significant and often overlooked security risk for individuals and enterprises.

The industrialization of AI-driven OSINT has transformed individual digital footprints into machine-readable intelligence at scale, enabling attackers to operationalize personalized reconnaissance at volume.

TrendAI™ brings structure and discipline to threat attribution, helping security leaders and teams make informed decisions about cyber risk, incident response, and overall defensive 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.