The cybersecurity landscape is experiencing a seismic shift as malicious actors exploit artificial intelligence to level the playing field in cybercrime. While mainstream AI platforms like ChatGPT and Claude implement strict safety guardrails to prevent misuse, a new generation of unrestricted large language models (LLMs) has emerged specifically designed to facilitate criminal activities. These “dark LLMs” are removing technical barriers that once separated novice cybercriminals from sophisticated attacks, creating unprecedented challenges for cybersecurity professionals worldwide.

In a sobering reminder of the persistent threats facing modern software development, a sophisticated NPM supply chain attack has successfully compromised multiple critical packages belonging to automation platform Zapier and the Ethereum Name Service (ENS). This incident underscores the urgent need for enhanced software supply chain security measures across enterprise development environments.

Artificial intelligence has emerged as the defining force reshaping cybersecurity in 2025, fundamentally transforming both offensive and defensive capabilities at an unprecedented pace. Security leaders now face a paradoxical reality: the same AI technologies revolutionizing threat detection and incident response are simultaneously empowering adversaries with sophisticated attack automation, adaptive malware, and hyper-personalized social engineering campaigns.

The rapid adoption of artificial intelligence agents in enterprise environments has introduced a fundamentally new category of security vulnerability that transcends traditional attack vectors. Security researchers from AppOmni are warning ServiceNow’s Now Assist generative artificial intelligence (GenAI) platform can be hijacked to turn against the user and other agents.