Artificial intelligence is rapidly reshaping how organizations approach risk. Leading teams are using AI to automate reviews, surface insights, and monitor risks continuously. At the same time, trust, governance, and oversight are lagging, leaving organizations exposed. In this session, CrossCountry practitioners will share a two part playbook: first, exploring how AI is already transforming risk management with practical use cases, such as accelerating controls testing, anomaly detection, and reporting; and second, learning how to establish AI governance that builds confidence, aligns with frameworks like NIST’s AI RMF, and meets regulatory expectations. You’ll walk away with clear next steps to harness AI responsibly, balancing innovation with oversight.
After this webinar, attendees will be able to:
- Recognize practical use cases of AI in risk management that drive efficiency and insights.
- Differentiate risks introduced by AI adoption and identify where governance is most critical.
- Apply principles from the NIST AI RMF, ISO standards, and other frameworks to structure AI governance.
- Plan a phased approach that balances AI experimentation with accountability and oversight.
* CPE: This is a webinar recording. Credits are not offered for on-demand viewing.