In cybersecurity, speed is not a luxury. It is the difference between interruption and impact.

Artificial intelligence (AI) is no longer an experimental capability in cybersecurity; it is foundational to modern security operations. Organizations are operating in environments defined by cloud-first infrastructure, remote and hybrid workforces, SaaS sprawl, and identity-centric attack patterns. At the same time, threat actors increasingly rely on automation and AI to accelerate reconnaissance, credential abuse, and post-compromise activity.

A new platform, Moltbook, has attracted significant attention within the AI community. It is not famous because humans are posting there, but because autonomous AI agents are. Moltbook is a social network designed for AI agents to post, comment, upvote, and even form communities. Humans can observe these interactions but cannot participate. This experiment reveals a striking reality. AI agents are coordinating, sharing code, and developing complex cultures without human visibility.

We’re excited to share new updates and enhancements for January, including: For more info on these updates, check out the list below and dive into the detailed articles. Please join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.

On February 2, 2026, the Notepad++ open source project disclosed new details about a supply chain compromise that impacted its update delivery infrastructure between June and December 2025. The attack was attributed to state-sponsored threat actors with links to China. In this campaign, the threat actors had gained access to a third-party hosting provider used by Notepad++ to distribute updates.

The January 2026 edition of LevelBlue SpiderLabs ransomware tracker noted a sharp fall in the number of attacks launched compared to December 2025. Qilin remained the top attacker, but there was a reshuffling of the remaining top five attackers for the month.

Compliance with data sovereignty regulations in New Zealand can be complex to navigate, especially for organisations operating hybrid or cloud deployments. Managed service providers (MSPs) and small and medium enterprises (SMEs) in New Zealand that want to take advantage of the benefits of the cloud must make sure they’re in compliance with regulations.

GitGuardian expands NHI Governance with integrations across cloud IAM, secrets managers, and SaaS platforms for complete machine identity control.

Enterprise security programs were built for a time when data lived in a small number of predictable locations. That model no longer holds. Today, data is constantly created, copied, transformed, and shared across cloud applications, endpoints, on-prem systems, and generative AI tools, often without clear visibility. Protecting data in the AI era requires three pillars: holistic visibility across the full data lifecycle, a deep understanding of data with context (e.g.