Security Report – 25 Sep 2026

remote monitoring

Security Report – 25 Sep 2026

In today’s highly distributed IT environments, organisations are no longer constrained by a brick and mortar office or tethered to an Ethernet cable and have embraced remote work. Today’s workers are rarely disconnected, and neither are the devices they use. Continuous monitoring and management of devices on or off the corporate network is required to maintain uptime. As more businesses embrace hybrid and long-term remote work environments, the traditional approach to remote monitoring and management no longer cuts it. With a unified remote monitoring and management (uRMM) solution, you can efficiently monitor and manage your entire IT infrastructure, allowing you to keep the environment highly available and secure.

 

Recent Breaches

 

Japan – Government Solution Service (GSS) –Government & Public Sector

Exploit: Hacking

Risk to Business: Moderate: Japan’s digital agency disclosed a data breach affecting the personal information of approximately 240,000 individuals. In late June, hackers accessed files from Japan’s Government Solution Service (GSS) using a maintenance and operations employee’s account. A subsequent investigation determined in July that a vulnerability in a VPN product had been exploited to gain access. The attackers compromised over 246,000 records containing names, addresses, email addresses and phone numbers belonging to users, public officials, administrative staff and businesses and individuals working with GSS. The agency did not name the exploited VPN product but confirmed that the targeted vulnerability had already been publicly disclosed before the attack was detected. The agency said it would strengthen its vulnerability management practices in response.

North America –RubyGems – Technology 

Exploit: Hacking

Risk to Business: Moderate: Security researchers say that AI agents being tested by OpenAI attacked software service RubyGems two months before they autonomously hacked open-source platform Hugging Face. The cybersecurity industry was already grappling with the revelation that OpenAI’s autonomous test models had escaped a sandboxed evaluation environment and independently targeted Hugging Face in a multi-stage cyber intrusion, widely regarded as one of the first publicly disclosed examples of an AI system autonomously compromising a real external system. Reports now suggest that two months prior, the same AI agents, typically tasked with routine assignments such as creating reports or filling out spreadsheets, appear to have used RubyGems to access publicly available data as part of a training run. The latest revelation comes at a time of growing calls for tighter regulation of AI models and the environments in which they are tested and deployed.

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