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研究洞見

透過專家研究、威脅情資以及可採取行動的資安洞見,超前掌握威脅動態。

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Featured Articles

AI Exploits and Zero-Days Data privacy and Regulation Research Features
Stars Don’t Save You: Popularity Is Not Security in the MCP Ecosystem

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.

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Data privacy and Regulation Cyber risk Cyber threats IoT and Smart Devices OT and Critical Infrastructure Energy and utilities Research Features
The Attackers Are Already Inside: NERC CIP-015 Is How the Grid Fights Back

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.

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Ransomware and extortion Targeted attacks Cybercriminal Underground Healthcare & Life Sciences Deep Dives
The Cybercriminal Underground: Mapping the Healthcare Data Economy

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.

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AI Emerging Technologies Cloud Security Zero trust Manufacturing Research Features
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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AI LLMS Research Features General Markets
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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AI Research Features 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.

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Cyber Crime OT and Critical Infrastructure Research Features Exploits and Zero-Days Manufacturing Industrial and Energy IoT and Smart Devices
The Industrialization of Botnets: Automation and Scale as a New Threat Infrastructure

Today’s botnet operations, enabled by automation and shared resources, are outpacing traditional response and patching models. This highlights the growing importance of security capabilities that can match the speed and scale of these attacks.

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AI Social Engineering Research Features Phishing and BEC Generative AI Technology, Media, and Communications General Markets
From LinkedIn to Tailored Attack in 30 Minutes: How AI Accelerates Target Profiling for Cybercrime

The industrialization of AI-driven OSINT has transformed individual digital footprints into machine-readable intelligence at scale, enabling attackers to operationalize personalized reconnaissance at volume.

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Cyber Crime Research Features AI Cyber threats APTs Information technology General Markets
Threat Attribution Framework: How TrendAI™ Applies Structure Over Speculation

TrendAI™ brings structure and discipline to threat attribution, helping security leaders and teams make informed decisions about cyber risk, incident response, and overall defensive posture.

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Research Features AI Cyber threats Software supply chain AI Governance Financial services Healthcare & Life Sciences Manufacturing Government Technology, Media, and Communications
AI Skills as an Emerging Attack Surface in Critical Sectors: Enhanced Capabilities, New Risks

AI skills bridge the gap between AI capabilities and real-world operations, but in doing so, they also introduce new risks and avenues for attack. We explore the challenges of AI skill adoption and provide a practical framework for secure deployment.

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