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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.

September 16th, 2026TrendAI™ Research
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Rethinking the External Attack Surface: Managing the Growing Risk of Open Cyber-Physical Data
IoT & smart devicesASM ASRM
Rethinking the External Attack Surface: Managing the Growing Risk of Open Cyber-Physical Data

China-aligned operational relay box (ORB) infrastructure is harvesting open sensor data at scale, and most defenders can't see it. Our report dives into how these ORBs can use open telemetry for data collection and other purposes.

September 10th, 2026 6 min
Fyodor Yarochkin, Vladimir Kropotov, Robert McArdle
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An industrial worker inspecting a warehouse
HacktivismRansomware & extortion
Mapping the Criminal Economy Targeting Critical Infrastructure

TrendAI™ Research went inside the forums, marketplaces, and Telegram channels where access to factories, utilities, and energy firms is bought, sold, and weaponized. Combing through two years’ worth of data revealed an underground where financially motivated brokers and ransomware crews now operate alongside state-aligned hacktivists, sharing the same entry vectors, the same pirated training, and in some cases, the same personnel.

September 2nd, 2026 7 min
Mayra Rosario Fuentes, Stephen Hilt, Numaan Huq
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Security 101: Virtual Patching
Exploits & Zero-Days
Security 101: Virtual Patching

What happens to an unpatched or vulnerable application or organization’s IT infrastructure? Here's how virtual patching helps enterprises address vulnerability and patch management woes.

August 25th, 2026 5 min
TrendAI™ Research
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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.

April 10th, 2026 12 min read Kien Do
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Cloud security
It’s By Design: The Use-After-Free of Azure Cloud

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.

April 3rd, 2026 15 min read Nitesh Surana, Nelson William Gamazo Sanchez
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AILLMs
Guarding LLMs With a Layered Prompt Injection Representation

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.

March 31st, 2026 Jaturong Kongmanee, Smile Thanapattheerakul
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AI governance
From Anarchy to Authority: Closing the Governance Gap in Agentic AI

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.

March 30th, 2026 6 min read Rachel Jin, Russell Meyers, Alifiya Sadikali, Casey Mondoux
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Cyber crimeDeepfakes
Unconventional Attack Surfaces: Identity Replication via Employee Digital Twins

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.

March 26th, 2026 34 min read
Kirill Gelfand, Vladimir Kropotov, Fyodor Yarochkin, Robert McArdle
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AIExploits & Zero-Days
Old Vulnerabilities, New AI Era, Amplified Risk: How Outdated Flaws Continue to Fuel the N-Day Exploit Market

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.

March 25th, 2026 10 min read Mayra Rosario Fuentes, Vincent Lee
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Ransomware & extortionCyber crime
Ransomware Spotlight: Agenda

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.

March 18th, 2026 10 min read TrendAI™ Research
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Cloud securityDevops
Cracking the Isolation: Novel Docker Desktop VM Escape Techniques Under WSL2

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.

March 12th, 2026 12 min read Nelson William Gamazo Sanchez , Nitesh Surana
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Cloud security
Azure Control Plane Threat Detection With TrendAI Vision One™

Malicious access to the Azure control plane can lead to a cascade of assaults that can be disastrous and difficult to detect. TrendAI Vision One™ helps protect the Azure control plane through early threat identification and rapid response.

March 10th, 2026 10 min read Yash Verma, Ranjitha Raj, Sunil Bharti, Fernando Cardoso
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Cyber riskRansomware & extortion
Forecasting Future Outbreaks: A Behavioral and Predictive Approach to Proactive Cyber Risk Management

TrendAI™ Research has found that user behaviors and machine usage patterns are key drivers of malware risk. This study’s analysis of over 10 million endpoints confirms that risk is highly context-dependent and offers insights into how organizations can pivot to improve their security posture.

March 5th, 2026 10 min read Marco Balduzzi, Roel Reyes, Jessica Balaquit, Ryan Flores…
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