CISA's BOD 26-04 and a new Five Eyes statement highlight the same urgent gaps in vulnerability management. Find out what these developments mean for your security program.
How agentic AI, nation-state actors, and cybercrime-as-a-service are outpacing financial sector defenses, and how defenders can respond at machine speed
AI agents have evolved from tools to autonomous participants in your organization, but governance has not kept pace. TrendAI™ proposes a six-pillar framework built to close that gap.
Governments around the world are committing billions to domestic AI development, but the race to create sovereign AI strategies has outpaced a clear understanding of what sovereignty actually requires. This research offers government and enterprise leaders a practical, layer-by-layer framework for determining how sovereign they need to be, and where it matters most.
Tightening security controls and other underground factors are forcing infostealer operations to adapt. TrendAI™ Research explores their evolution into coordinated attack infrastructure and the implications for identity defense.
Edge devices have become a primary entry point for state-sponsored espionage, giving attackers a cheaper, faster path to network access, credential theft, and traffic interception. Our report examines the threat landscape, economics, and actor activity driving this shift, along with what CISOs and security leaders can do to respond.
A jailbreak through sockpuppeting can be easily done as it requires no special tools nor optimization. It only takes a faulty prefill feature, and the gates are open. We tested 11 LLM-powered assistants against sockpuppeting and found varying levels of robustness across today's leading LLMs.
Persistent DNS references to deleted Azure resources create opportunities for attackers to take over trusted endpoints, highlighting a critical risk in cloud infrastructure. TrendAI™ Research discusses six real-world scenarios where attackers could exploit lingering DNS names, allowing them to inherit trust and compromise dependent systems.
TrendAI™ Research has developed a model training procedure for learning an essential representation of prompt injection attacks. The resulting prompt representation exhibits approximately linear separability, allowing the specialized, small-scale classifier trained on features derived from the representation to achieve high classification performance.
Agentic AI marks a fundamental shift that enables autonomous action and decision-making across enterprise systems but also introduces new, complex risks. TrendAI's Agentic Governance Gateway empowers organizations to understand, control, and trust agentic AI.
In this second installment of a series exploring emerging AI-driven attack surfaces, TrendAI™ Research focuses on employee digital twins: AI replicas of employees that create new vectors for identity compromise, data exfiltration, and persistent access.
Even as AI adoption accelerates, old exploits remain overlooked weaknesses. Underground trends show a renewed demand for exploits, with cybercriminals relying on aging but still effective vulnerabilities. We examine this blind spot and why long-standing issues need to be addressed.
Agenda has rapidly grown into one of the most prolific and dangerous ransomware operations, leveraging advanced techniques, cross-platform variants, and alliances with other major threat groups. Its aggressive double-extortion model and expanding victim base across critical industries make it a serious enterprise risk that demands proactive detection and defense.
TrendAI™ Research has discovered several new methods that enable attackers to escape Docker Desktop's WSL2 VM and run arbitrary code on the host. Our analysis highlights how trusted development tooling can create unexpected attack surfaces when internal APIs and configuration mechanisms are left exposed.
July 23rd, 2026 
3 min read
