Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍ Artificial intelligence (AI) used to be something that only existed in science fiction novels and dystopian movies. Then, technology advanced, and it became a reality, being slowly implemented into experimental projects and niche use cases. Now, however, it is shaping real business outcomes, accelerating decisions and automating processes in ways that are becoming commonplace in daily market operations. ‍

In February 2024, a ransomware attack on a critical player in the US healthcare infrastructure sent shockwaves through the US and globally. Pharmacies were unable to process prescriptions using patients' insurance, leading to delays in medication dispensing and highlighting the fragility of the healthcare supply chain. Hospitals and medical offices faced severe operational disruptions, struggling to provide patient care, submit insurance claims, and receive payments.

Security leaders are well acquainted with Shadow IT; the unsanctioned apps, services, and even devices employees adopt to bypass bureaucracy and accelerate productivity. Think rogue cloud storage, messaging platforms, or unapproved SaaS tools. These all often slip past governance until they trigger a breach, compliance issue, or operational failure. Now, a more complex threat is emerging - Shadow AI.

It seems like Artificial Intelligence (AI) has suddenly appeared in everything, everywhere, all at once. What feels like “five minutes ago”, there was “pre-AI life”, and now we have AI assistants that speak like real people, apps that create images, music, and video from nothing, and AI agents that do work for us.

It’s one thing for us to say Nucleus is changing how enterprises address vulnerability and exposure management. It’s another when three different analyst firms all say it, and at the same time. In recent weeks, Forrester, IDC, and GigaOm each published their latest market evaluations, recognizing Nucleus in all three. That’s rare validation in a market where many vendors don’t even make the cut for inclusion.

As students return to classrooms, a different kind of "back-to-school" activity is ramping up: Hack-to-School. Cybercriminals and nation-state actors are intensifying their focus on educational institutions. According to Bitsight Threat Intelligence, the education sector is now the third-most targeted industry by cyber threat actors, facing a wide range of persistent and emerging risks.

Risk doesn’t live in just one place—it comes from vendors, suppliers, partners, and from inside your business through processes, people, and systems. ‍ Managing that risk is often fragmented, too. Vendor reviews live in one system, internal issues in another, and leadership reports take hours to compile. And every new vendor, tool, or requirement contributes to another layer of risk.

Bitsight’s mission to keep evolving the capability of our data engine through AI enhancements hit a new milestone today. The latest addition is a new entity mapping capability added to Bitsight AI and the data engine, which uses GenAI agents to create more complete and consistent sets of identifiers for organizations scanned and added to Bitsight’s entity inventory.