Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Does the world really need another study of shadow AI? That was my first thought going into this project. Reading dozens of previous reports did not change that impression: there's a lot of shadow AI out there, and a lot of reports saying so. But the more I read, the more apparent it became that something important was missing. This endless supply was not meeting what was actually in demand.

Climate change is no longer a distant threat; it has become a defining issue of our time. Rising global temperatures, unpredictable weather patterns, and shifting socio-economic landscapes are reshaping how businesses operate and how governments serve their constituents. In the midst of these enormous challenges, there is one undeniable truth: resilient growth hinges on the capacity to understand, manage, and adapt to climate change risk.

For many organizations, vendor risk management (VRM) feels like an endless chase—gathering evidence, trudging through questionnaires, wrangling spreadsheets. Add expanding risk surfaces and new scrutiny from AI-driven regulations and customers, and it’s no wonder teams feel overwhelmed.

When it comes to managing cyber risk, the financial sector is squarely at the top of the food chain. It’s simple economics (and the plot of many movies): financial institutions have the money, and cybercriminals are always looking for ways to take it. As a result, institutions have invested heavily in strengthening their internal systems and cybersecurity controls. Those investments have paid off.

Building an exposure management program is just the beginning of a long journey. True success comes from scaling that program through continuous optimization, measurable progress, and organizational alignment. As enterprises expand their digital footprint, exposure management must evolve from reactive vulnerability remediation to a proactive, data-driven discipline that continuously strengthens resilience.

Artificial Intelligence has rapidly evolved from a niche research field into an everyday workplace tool. In many cases, this adoption has outpaced previous technology waves, with employees across industries embracing AI to boost productivity in almost every aspect of their work and life.

The healthcare sector remains one of the most targeted industries for cyber attacks due to its critical role in national infrastructure and its extensive repositories of sensitive data containing personally identifiable information (PII). It’s widely assumed that threat actors target healthcare and related organizations because they are perceived as more likely to pay a ransom to restore critical systems and protect patient safety in the event of an attack.