State and local governments are increasingly adopting Artificial Intelligence (AI) to modernize operations, improve citizen services, and strengthen public safety. During this post-launch AI Security webinar, Zscaler explored how agencies can embrace AI innovation while managing the growing risks related to Shadow AI, data exposure, and regulatory compliance through a Zero Trust approach.

The session highlighted how Zscaler supports secure and responsible AI adoption across the full lifecycle—from development to deployment—helping agencies protect data, maintain trust, and meet compliance requirements as AI usage scales.

Attendees received an overview of Zscaler’s latest AI security innovations designed to improve visibility, resilience, and governance. The discussion focused on how agencies can discover and manage AI systems, proactively test defenses, and implement safeguards that protect AI workflows in real time.

Key takeaways from the webinar included:

• AI Discovery & Risk: Participants learned how agencies can gain visibility into public, private, and embedded AI systems while identifying and mitigating associated risks.
• AI Red Teaming: The session demonstrated how automated adversarial testing and guided remediation can help strengthen AI deployments against emerging threats.
• AI Runtime Guardrails: Speakers discussed approaches for protecting AI workflows through content moderation, threat prevention, and data loss protection.
• AI Governance & Compliance: Attendees saw how continuous monitoring supports regulatory alignment and helps maintain strong security hygiene across AI environments.

The webinar also featured a discussion of the top AI use cases across state and local government, alongside a practical playbook for securing AI deployments—including public, private, agentic, and citizen-facing services.