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Curated news, CVE analysis, and threat reports from the world's top cybersecurity sources.
This article discusses how AI is reshaping network security, requiring a new kind of firewall that can understand and control AI-driven traffic. It introduces Check Point's AI Network Firewall, which aims to secure employee AI use, AI applications, and AI agents at the network level.
The article argues that network firewalls must be reinvented for the AI era, as traditional security policies were never designed to govern AI-driven traffic patterns. AI agents, employees, and applications now send prompts, call models, connect to services, and trigger actions that most firewalls cannot see or understand.
The rapid adoption of AI is transforming network security, exposing gaps in traditional firewalls that were designed for static traffic patterns. AI-driven activities, such as generative AI prompts, autonomous agent communications, and API calls, operate outside conventional firewall visibility, creating risks like data leaks, prompt injections, and unauthorized AI interactions.
Kaspersky researchers have identified two sophisticated backdoors, OctLurk and SilkLurk, used in a cyber-espionage campaign targeting government organizations in Central Asia since January 2025. The attacks primarily affected entities in Afghanistan, Kyrgyzstan, Tajikistan, Uzbekistan, Kazakhstan, and Syria across sectors like healthcare, research, foreign affairs, and law enforcement.
Kaspersky researchers have identified two new backdoors, OctLurk and SilkLurk, used in attacks against government organizations in Central Asia since January 2025. The backdoors are customized for each victim and can perform various malicious actions, including credential dumping and remote access.