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Critical Infrastructure Under Threat: How Frontier AI Changes the Risk Equation
AIOT & critical infrastructure

Critical Infrastructure Under Threat: How Frontier AI Changes the Risk Equation

The critical systems we can’t afford to lose are the same ones attackers are racing to target. With a new generation of AI-augmented cyber threats, what used to be weeks of warning can collapse into mere hours. What is the current state of the threat landscape for essential industries, and what can organizations do to fortify their defenses? Uncover this and more in our report.

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A Data-Driven View of Cyber Risk Structure: How Attack Pressure and Exposure Shape Damage

TrendAI™ Research analyzed 2,014 enterprises throughout 2025 and found that cyber damage is shaped by the interaction of attack pressure and exposure, with the highest-risk organizations experiencing up to 3.3 times as much damage as the lowest. The study introduces a Cyber Risk Positioning Map that can help organizations identify whether to prioritize reducing exposure, strengthening response capability, or both.

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AI
Driving Security at the Speed of AI Agents with NVIDIA DOCA

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.

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AIExploits & Zero-Days
Hunt Them All: An AI-Powered Vulnerability Sweep of 19,000 MCP Servers

In this research, we analyzed over 19,000 open-source MCP server repositories to uncover how much AI-generated code they contain and how many harbor exploitable vulnerabilities.

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Cyber crimeAI
Pwning Agentic AI Part I: Your AI Agent Is Already Compromised

Organizations are rapidly connecting AI agents to their databases, document pipelines, and internal tools, creating privileged components that read untrusted input as part of their job. TrendAI™ Research examines how attackers turn these agents against you through return-to-tool (RTT) exploits, and what this means for the future of agentic AI security.

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Cyber crime
TrendAI™ and CleanDNS: From Blocking Attacker Infrastructure to Removing It From the Internet

TrendAI™ and CleanDNS have partnered to go beyond blocking malicious domains. Learn how we are actively dismantling the infrastructure that cybercriminals depend on and removing attacker domains from the internet before attacks reach their targets.

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Cyber crime
A Hidden Vulnerability in Healthcare: Exposed DICOM Servers and the Risk to Patient Data

Analysis from TrendAI™ Research found that thousands of DICOM medical imaging servers worldwide are exposed online without basic security measures, leaving sensitive patient data and healthcare operations vulnerable to cyberattacks.

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Cloud security
Update on Exposed MCP Servers: The Threat Widens to the Cloud

Blurb: Exposed Model Context Protocol (MCP) servers have become powerful vectors for cloud attacks, enabling threat actors to not only access sensitive data but also take control of the cloud services themselves.

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Cyber crimeIdentity & access management (IAM)
From Stealers to Systems: The New Model of Credential Theft

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.

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Exploits & Zero-DaysCyber crime
Edge Under Siege: How State-Sponsored Actors Exploit Your Perimeter

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.

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AILLMs
Sockpuppeting: How a Single Line Can Bypass LLM Safety Guardrails

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.

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