Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In March 2026, Stryker Corporation experienced a global cyber incident that disrupted operations across its environment. Manufacturing slowed, internal systems went offline, and employees were instructed to disconnect devices. At first glance, it looked like another large-scale cyberattack. It wasn’t. This incident exposed a much more important reality about modern cybersecurity risk: organizations are no longer being breached in traditional ways.

Supply chain attacks cascade through ecosystems in ways traditional metrics hardly capture. GitGuardian evaluates the PCP Team incidents and finds damage spread to thousands of public targets.

Most proactive cybersecurity tools for SMEs are designed to stop attacks before damage occurs. That sounds sufficient. It isn’t. In practice, most attacks don’t succeed before defenses activate or after alerts are triggered. They succeed during a narrow window where users are actively interacting with malicious environments and unknowingly handing over valid credentials. This is where most security stacks lose visibility. For SMEs, it is where most account takeovers (ATO) actually happen.

A finance employee receives an email that appears to come from the CFO requesting urgent payment approval. The message references a current project, uses the correct tone, and arrives at a plausible time. However, the email wasn’t written by a colleague — it was generated by AI. And it contains a malicious link. These attacks are becoming more common as threat actors use AI to produce convincing phishing emails, automate impersonation attempts, and launch social engineering campaigns at scale.

AI is moving fast. But the transition from GenAI tools that respond to prompts to AI agents that execute workflows represents something qualitatively different for security leaders. The shift goes beyond just scale, and is a fundamental change in how data moves, who touches it, and what decisions get made, often without human review.

Multi-factor authentication has been a game-changer. MFA remains one of the most effective measures to protect access to corporate systems and data. That hasn’t changed. What has changed is what attackers can do to get around it.

Part 1 covered CanisterWorm, the self-spreading npm worm. Part 2 covered the malicious LiteLLM package and its.pth persistence. This post covers the third wave: a compromised telnyxPyPI package that hides its payload inside audio files and delivers entirely different malware depending on the victim’s operating system.