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.
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.
Trend™ Research replicated an AI-powered scam assembly line to reveal how AI is eradicating the barrier for entry to running scams, making fraud easier to run, harder to detect, and effortless to scale.
Xanthorox AI: flirty, menacing, and potentially devastating? We explored the inner workings of this LLM to unveil its devious capabilities for generating malicious code, obtaining private information, and roleplaying.
Trend™ Research inspected agentic edge AI systems and the development tools and workflows they leverage and uncovered an intricate labyrinth that demands robust protection from cyberthreats.
A tokenizer lies at the core of every large language model. When it drifts, whether from unseen flaws or adversarial interference, costs rise and performance drops. We explore this emerging risk, its implications, and the measures to prevent it.
Agentic edge AI offers enhanced advantages, but with this comes cybersecurity challenges. Learn more about agentic edge AI and its architecture, and equip your organization by examining related threats and mitigation strategies for these risks.
Security risks to MCP servers can be mitigated by running them within containers. This report discusses these security risks and how MCP containerization can implement least privilege in practice.