Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For the past two years, the adoption of Generative AI has felt like a gold rush. Organizations raced to integrate Large Language Models and build autonomous agents to assist employees. They often bypassed standard governance processes in the name of speed and innovation. That era of unrestricted experimentation is rapidly drawing to a close. A massive regulatory wave is forming worldwide. Frameworks like the EU AI Act and the new ISO/IEC 42001 standard are forcing a corporate reckoning.

In many organizations, there is a dangerous unspoken rule: The SOC handles endpoints and networks; Engineering handles APIs. This silo creates a massive blind spot. We recently spoke with the Senior Manager of Security Engineering at a major insurance provider, who described this exact pain point.

Last month, Microsoft quietly confirmed something that should keep every CISO up at night. As first reported by BleepingComputer and later detailed by TechCrunch, a bug in Microsoft Office allowed Copilot, the AI assistant embedded in millions of enterprise environments, to summarize confidential emails and hand them to users who had no business seeing them. Sensitivity labels? Ignored. Data loss prevention (DLP) policies? Bypassed entirely. This wasn't the work of a hacker or malware.

WordPress released version 6.9 in December 2025, introducing a new framework that changes how the platform communicates with external tools. The update added support for WordPress Abilities API and the Model Context Protocol (MCP), allowing WordPress sites and plugins to describe their capabilities in a structured, machine- and human-readable format. The change reflects a broader shift in how websites are managed.

API security has been a growing concern for years. However, while it was always seen as important, it often came second to application security or hardening infrastructure. In 2025, the picture changed. Wallarm’s 2026 API ThreatStats Report revealed that APIs are now the primary attack surface for digital business, and not because bad actors discovered new zero-days, but because of compounding failures in identity, exposure, and abuse.

The shadow technology problem is getting worse. Over the past few years, organizations have scaled microservices, cloud-native apps, and partner integrations faster than corporate governance models could keep up, resulting in undocumented or shadow APIs. We’re now seeing this pattern all over again with AI systems. And, even worse, AI introduces non-deterministic behavior, autonomous actions, and machine-to-machine decision-making. Put simply, shadow AI is much, much riskier than shadow APIs.

It’s an unusually cold winter morning in Houston, and Craig Riddell is settling into his new role as Wallarm’s Global Field CISO. It’s a position that suits him down to the ground, blending technical depth, empathy, business acumen, and, what Craig believes, the most underrated skill in cybersecurity: curiosity. Like so many of us, Craig got into cybersecurity by accident. He first learned Unix under the guidance of a mentor while transitioning out of the military.