Uzman araştırmaları, tehdit istihbaratı ve eyleme geçirilebilir siber güvenlik içgörüleriyle tehditlerin bir adım önünde olun.
Building on our previous research, we correlated the security issues identified in public MCP servers with metadata crawled from popular directories. We then analyzed whether indicators such as popularity, activity, and vetting serve as reliable metrics to infer the risk of adopting an MCP server.
NERC CIP-015 is the first NERC CIP standard to mandate internal network security monitoring for Bulk Electric System environments. Here is what it requires, why OT environments make compliance hard, and how TrendAI™ addresses each obligation.
A look inside an industrialized economy where stolen healthcare data is bought, sold, and weaponized, from ransomware breaches to broker access and fake medical documents fueling an expanding criminal supply chain.
Agentic AI compresses exploit timelines from weeks to hours, and reactive security can't keep pace. TrendAI™, working with NVIDIA, delivers an isolated trust architecture purpose-built for AI infrastructure, hardening AI factories before attackers find a way in.
We challenge assumptions about AI models by revealing real-world biases and limitations, and the impact of poorly managed AI adoptions.
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.
AI’s rapid growth brings new risks as well as opportunities. Strong security foundations are essential to ensure innovation remains safe, compliant, and resilient.
DragonForce, a Ransomware-as-a-Service group first observed in 2023, rose to greater prominence in 2025 after a series of notable attacks linked to the group. Despite its unclear origins, what is evident is its rapid evolution and its aggressive, affiliate-driven model, marking it as a rising threat to watch out for.
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.
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.
This report exposes the life cycle and tactics of task scams by presenting real-world cases as well as strategies to help identify and avoid these threats.
As agentic AI systems grow increasingly complex, it becomes clear that this class of applications relies on a multi-layered architecture. Trying to chart such architecture reveals several security risks that could plague each layer. This article investigates the possible scenarios and offers actionable insights to secure each layer and combat such threats.
June 24th, 2026 
4 min read