By 2030, AI is expected to boost the global economy by more than $15.7 trillion, but as its adoption in the public sector grows, so do the cyber threats. This transformation demands both innovation and caution from state, local, and education (SLED) organizations. SLED leaders are increasingly turning to Zero Trust systems, that prioritize continuous verification and strong access controls to establish secure, ethical, and scalable environments for AI integration due to sensitive data, regulatory mandates such as Family Educational Rights and Privacy Act (FERPA), and limited resources.

In this episode of Government Technology Insider podcast, host, Lucas Hunsicker, spoke with Aaron McAllister, Principal Solutions Architect for SASE at Cloudflare, and MT Robertson, Director of Cybersecurity at Presidio. Together they looked at how AI is transforming Zero Trust architectures, from automated anomaly detection that improves real-time security to explainable AI models that boost accountability. Their conversation emphasized how crucial privacy-first design, governance, and data transparency are establishing users’ long-term trust. As Robertson said:

“Exposure and transparency goes a long way with trust. And I think these practices that we see out in the market… lead to success and trust.”