Skip to main content

TrendAI™ Ricerca approfondita

spark

Featured Articles

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.

Read article
Cloud securityIdentity & 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.

Read Article
AILLMsAI 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.

Read Article
AICyber 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.

Read Article
AISoftware supply chainZero 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.

Read Article
AILLMsCyber 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.

Read Article
Exploits & Zero-DaysAIZero 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.

Read Article
AIDeepfakesPhishing & 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.

Read Article
ASM ASRMCyber 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.

Read Article
AILLMs
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.

Read Article
AILLMsSoftware supply chain
Slopsquatting: When AI Agents Hallucinate Malicious Packages

Our research examines how AI coding assistants can hallucinate plausible but non-existent package names—therefore enabling slopsquatting attacks—while also providing practical defense strategies that organizations can implement to secure their development pipelines

Read Article