Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This is why platforms like ServiceNow AI Control Tower are showing up in governance roadmaps. Control Tower helps organizations standardize how AI systems are requested, reviewed, cataloged, and managed across their lifecycle. It can bring order to chaos. But there’s a second, equally important reality: the strongest governance workflow in the world can’t govern what it can’t see.

Data privacy in the workplace is not just compliance. It is how an organization protects employees, builds trust, and reduces business risk. Employees handle most workplace data, which makes them a major target for AI-powered threats like deepfakes and business email compromise (BEC). The best way to protect data is a mix of practical employee habits, realistic training, and strong controls like least privilege access, MFA, monitoring, and email authentication.

AI adoption has accelerated across sectors today as the technology becomes easier to access and deploy. Most organizations embed it in at least one aspect of their daily operations, but doing so has also introduced new risks, such as model bias and outcome drift. ‍ There’s a growing gap between AI use and responsible oversight, and keeping up demonstrable AI governance practices is a challenge.