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Cyber crime Social engineering
Unmasking Task Scams to Prevent Financial Fallout From Fraud

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.

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Cloud security Identity & access management (IAM)
Beware of MCP Hardcoded Credentials: A Perfect Target for Threat Actors

Poor secret management in MCP servers can lead to serious consequences, including data breaches and supply chain attacks. This article examines the reality of these unsecure configurations and offers practical recommendations that minimize the chances of exposure.

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AI LLMs AI governance
LLM as a Judge: Evaluating Accuracy in LLM Security Scans

As large language models (LLMs) become more capable and widely adopted, the risk of unintended or adversarial outputs grows, especially within a security-sensitive context. To identify and mitigate such risks, Trend Micro researchers ran LLM security scans that simulate adversarial attacks.

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AI Cyber crime
The Silent Leap: OpenAI’s New ChatGPT Agent Capabilities and Security Risks

OpenAI recently introduced ChatGPT agent. What are its capabilities and the associated cybersecurity risks? We examined these using Trend Micro’s Digital Assistant Framework to help organizations navigate the changes and risks this new digital assistant may bring.

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AI Software supply chain Zero trust
The Road to Agentic AI: Navigating Architecture, Threats, and Solutions

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.

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AI LLMs Cyber crime
Exploiting Trust in Open-Source AI: The Hidden Supply Chain Risk No One Is Watching

As open-source AI models become foundational to digital infrastructure, hidden backdoors and tampered supply chains pose a growing, under-recognized threat that traditional security tools can fail to detect.

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Exploits & Zero-Days AI Zero trust
MCP Security: Network-Exposed Servers Are Backdoors to Your Private Data

Exposed MCP servers pose a risk for organizations utilizing them. Our research examined the types of concerns that emerge and how to keep systems safe through immediate and extended measures.

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AI Deepfakes Phishing & BEC
Deepfake It ‘til You Make It: A Comprehensive View of the New AI Criminal Toolset

This report takes a comprehensive look at how deepfakes are used to support criminal business processes, what are the toolkits criminals are exploiting to power their deepfake creation, and what the deepfake underground looks like.

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ASM ASRM Cyber crime
Proactive Security: The Role of Exposure Management and Detection-Response Capability

Cyberattacks are growing increasingly sophisticated and frequent, which is why security strategies focused solely on detection and response are no longer sufficient. This reality brings renewed attention to the importance of identifying and mitigating cyber risks before incidents occur.

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AI LLMs
The Road to Agentic AI: Defining a New Paradigm for Technology and Cybersecurity

Our latest research provides a framework for understanding agentic AI systems, outlines their core characteristics, and examines the security implications surrounding their use.

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