We examine how OpenClaw’s exposed deployments, plaintext credential storage, prompt injection risks, unguarded MCP integrations, and malicious third-party skills amplify the security risks of agentic AI at enterprise scale.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Our latest research provides a framework for understanding agentic AI systems, outlines their core characteristics, and examines the security implications surrounding their use.
21 сентября 2026 г.
6 min