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In December 2024, the popular Ultralytics AI library was compromised, installing malicious code that hijacked system resources for cryptocurrency mining. In August 2025 , malicious Nx packages leaked 2,349 GitHub, cloud, and AI credentials. Throughout 2024, ChatGPT vulnerabilities allowed unauthorized extraction of user data from AI memory. The result: 23.77 million secrets were leaked through AI systems in 2024 alone, a 25% increase from the previous year. Here's what these incidents have in common: The compromised organizations had comprehensive security programs. They passed audits. They met compliance requirements. Their security frameworks simply weren't built for AI threats. Traditional security frameworks have served organizations well for decades. But AI systems operate fundamentally differently from the applications these frameworks were designed to protect. And the attacks against them don't fit into existing control categories. Security teams followed the f...

While IT security managers in companies and public administrations rely on the concept of Zero Trust, APTS (Advanced Persistent Threats) are putting its practical effectiveness to the test. Analysts, on the other hand, understand that Zero Trust can only be achieved with comprehensive insight into one's own network.  Just recently, an attack believed to be perpetrated by the Chinese hacker group  Storm-0558  targeted several government agencies. They used fake digital authentication tokens to access webmail accounts running on Microsoft's Outlook service. In this incident, the attackers stole a signing key from Microsoft, enabling them to issue functional access tokens for Outlook Web Access (OWA) and Outlook.com and to download emails and attachments. Due to a plausibility check error, the digital signature, which was only intended for private customer accounts (MSA), also worked in the Azure Active Directory for business customers.  Embracing the Zero Trust Revo...