From the Consulting + Legal Lens: AI Governance Where Data Protection Meets Cybersecurity
AI governance is no longer theoretical. If you are embedding AI into your products, services, applications, or client deliverables, you are making decisions today that will define your exposure tomorrow across privacy, security, third-party risk, and regulatory compliance.
The challenge is that AI governance sits directly at the intersection of data protection and cybersecurity. The same questions Legal and Privacy are asking (data sources, consent, transparency, accountability) are inseparable from the questions Security is asking (threat modeling, model/data security, vendor risk, monitoring, incident response). And when something goes wrong, it is rarely isolated to one function.
Join us on February 18, as Cybersecurity Manager, Kelsey Cunningham of Echelon and Katie Nadro, CIPP/US, AIGP of Levenfeld Pearlstein, LLC, will translate today’s major governance disruptors into a practical approach you can put into place now.
Our presenters will cover:
- The major disruptors shaping AI governance now (executive actions, emerging state laws, and enforcement/litigation trends), who they apply to, and what they mean for organizations implementing AI in products and services.
- How the NIST AI Risk Management Framework helps you operationalize governance, including a structured way to assess risk, define accountability, document decisions, and demonstrate reasonable oversight.
- What to do now when AI is in the build: practical steps across the AI lifecycle (intake and approvals, data protection impact questions, security-by-design, vendor/third-party due diligence, monitoring, and “human-in-the-loop” judgment).