AI Governance: Managing Risk and Control in the Age of AI Recap
A recent Enterprise Security Weekly podcast session, hosted by Adrian Sanabri, Principal Researcher at the Defenders Initiative, in collaboration with Dart Strickland, Senior Solutions Marketing Manager at BigID, delved into the pivotal aspects of AI governance. The discussion centered on managing risk and controlling responsible and compliant AI usage. As AI integration rapidly expands into diverse sectors, the webcast examined the significant role of data privacy, risk regulation, and cybersecurity in AI governance. It dissected the complexity and importance of data handling, particularly in maintaining regulatory compliance, making it an insightful discourse for CISOs, CDOs, CPOs, and privacy leaders.
Top Takeaways
- Data security at scale – AI governance involves managing vast amounts of data, emphasizing the critical need for robust data privacy and security measures, even for smaller AI models operating on devices like laptops and phones.
- Risk regulation – The essentials of AI governance are rooted in effective risk regulation. Tools like BigID play a vital role in maintaining regulatory compliance and preventing penalties by ensuring the responsible and secure use of AI technology.
- Phenomenon of AI governance – AI governance, delineated as a horizontal rather than vertical stream, involves collaboration between security, governance, and privacy units within a corporate structure, emphasizing the importance of clear responsibilities and internal coordination, especially with stochastic regulations like GDPR.
Memorable Quotes
“AI and data privacy are intertwined intricacies of the modern era. The question is: how secure can you make it before it’s too late?” – Adrian Sanabri, Defenders Initiative
“AI governance is not simply about control, but about orchestrating a symphony of data protection, privacy, and accountability.” – Dart Strickland, BigID
“The importance of managing ethics and ensuring the right data is fed into AI models to prevent incorrect outcomes is paramount.” – Dart Strickland, BigID
“The significance of data discovery and classification is the starting point for AI governance, highlighting the need to identify sensitive data and prevent it from being used in AI models.” – Adrian Sanabri, Defenders Initiative
Related Resources
- Solution Brief: Secure & Govern AI Data with Risk-Aware Context & Control
- Whitepaper: Adopt Responsible AI with BigID Next
- Whitepaper: GenAI Readiness for Data, AI Security, & Compliance
Watch On-Demand or Take Action
Missed the live discussion? Watch the full webinar on-demand here
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