App Security Summit

AI governance and cybersecurity operations are still running on separate tracks in most organizations. Governance lives with legal, privacy, and risk. Security operations live with detection, incident response, and runtime monitoring. That separation was manageable when AI was a procurement question, but it breaks down the moment AI-driven detection, automated threat hunting, and agentic response tools move into production. AI systems are now a security control, a compliance obligation, and an operational risk all at once.

This session is for CISOs and security leaders who need these two disciplines working from the same playbook. We'll cover what it actually looks like to harmonize AI governance with cybersecurity operations. The goal is one integrated operating model, not two parallel programs generating conflicting requirements for the same teams.

Key takeaways:
- A practical model for merging AI governance and security operations workflows without doubling overhead.
- Decision criteria for where AI autonomy belongs in detection and response versus where human approval is non-negotiable.
- Logging and audit requirements that satisfy incident review, regulatory scrutiny, and AI governance obligations in one pass.
- A readiness assessment for identifying where your organization's governance and operational security tracks are quietly in conflict.

About the Speaker
Noah M. Kenney is Founder & Principal Consultant of Digital 520, a consultancy operationalizing AI governance, security, and privacy. He authored Governing Intelligence: Law, Privacy, Security, and Compliance in the Age of Artificial Intelligence (2026), reaching 100,000+ readers. He is Chief Scientist of the Disruptive AI Lab, President of the Ethical Tech Forum, and holds IAPP CIPM and AIGP certifications.