Trevor Dearing warns that detailed customer information can enable highly convincing phishing and impersonation scams, highlighting the importance of vigilance after a data breach.

Michael Adjei explains that voluntary AI safety commitments from major technology companies are a positive step, but meaningful oversight and accountability are needed to ensure security keeps pace with rapidly advancing AI capabilities.

Gary Barlet argues that as AI agents gain access to sensitive government systems, agencies must pair visibility, continuous verification, and containment to prevent trusted access from becoming a security risk.

Cyber Resilience at Machine Speed: The Zero Trust Model for the AI Era provides a practitioner-led roadmap for building resilience in an increasingly automated world

Andrew Kay emphasizes that organizations cannot assume AI agents will always behave as intended and must focus on breach containment to prevent unauthorized access from escalating into broader disruption or data exposure.

In Federal News Network, Gary Barlet emphasizes that as cloud adoption accelerates across government, agencies must move beyond planning and consistently implement cloud security and Zero Trust practices to reduce rising cyber risk.

Andrew Kay argues that rising cybersecurity budgets alone are not improving resilience, emphasizing the need for organizations to focus on measurable security outcomes and their ability to contain breaches when prevention fails.

In Resilience Forward, Raghu Nandakumara argues that CISOs should be judged on how effectively they manage cyber risk within agreed business constraints, not simply on whether a breach occurs.