The State of AI Compliance [On-Demand Webinar]
What You Need to Know About AI Compliance
When artificial intelligence enters the conversation, we often hear about its limitless potential. But alongside all the promise comes the responsibility to manage it appropriately. That’s where governance and compliance take center stage. Recently, industry leaders came together to discuss AI trends and strategies for navigating its challenges in the compliance space. Their insights? Practical, inspiring, and eye-opening. Here’s what we learned.
Why governance is key to AI success
Jason Patterson Sr., Senior Director of Information Security Operations at Nasuni, kicked things off with a reminder that, “With great AI power comes great responsibility.” His team at Nasuni established an AI acceptable use policy and designed an AI board to ensure their use cases remain secure and compliant.
His biggest takeaway? Governance isn’t just about creating rules; it’s about driving a culture that prioritizes security at every level. The rapid rise in AI tools demands that organizations stay vigilant in protecting data and adhering to privacy laws.
Building stronger security frameworks
AI’s widespread adoption brings some important questions to the forefront, especially regarding security. David Hoover, CISO at Validic, discussed how vital it is to integrate AI into existing compliance frameworks carefully. For the healthcare industry, this means maintaining HIPAA compliance while securing HITRUST certification.
David emphasized a team-wide approach to decision-making when it comes to AI, ensuring every layer of the organization is involved in securing data and setting clear policies. These steps aren’t optional anymore; they’re necessary to mitigate risk effectively.
Why data management is non-negotiable
Data is at the heart of every AI initiative, but according to Elijah Cox, CEO of Snowfly, dirty data is as risky as installing faulty systems in airplanes. Standardizing, anonymizing, and verifying data isn’t just a recommendation; it’s a requirement.
Elijah also highlighted the importance of post-data validation tools to ensure models operate ethically and without bias. Processes like data cleaning not only ensure compliance but also safeguard organizations from reputational damage.
Tackling compliance in a world of rapid regulation changes
Keeping up with AI regulations can feel overwhelming, especially in a global market. Jason Patterson spoke about the ongoing discussion around a unified U.S. AI regulation and how organizations can prepare for evolving legislative frameworks.
Even though the regulatory landscape is still developing, adopting trusted frameworks like the NIST AI Risk Management Framework and ISO standards can act as stabilizers. These help organizations stay compliant while continuing to innovate with AI.
Communication and transparency matter more than ever
When incorporating AI into your operations, keeping stakeholders in the loop is vital. Patrick Sullivan, VP of Strategy & Innovation at A-LIGN, underscored the importance of maintaining transparency when implementing AI. Using tools like model cards to demystify algorithms ensures that both internal and external stakeholders can trust your AI systems.
Clear communication doesn’t just help your teams work better; it builds confidence and accountability with customers, partners, and auditors.
Addressing risks and biases in AI
No conversation about AI is complete without addressing its risks. Bias in machine learning models or potential societal impacts from AI replacing human roles were heavy topics during this discussion. The consensus? A comprehensive approach to governance, validation, and risk management is key to striking the right balance between innovation and responsibility.
Patrick Sullivan wrapped it up with an impactful point, encouraging organizations to pursue standards that emphasize fairness and safety while promoting a shared understanding of AI’s upsides and risks.
Where we go from here
Every speaker left us with one clear message: AI is a powerful asset, but it comes with strings attached. To unlock its full potential, businesses must prioritize strong governance, integrate data management practices, and consistently monitor compliance within an evolving regulatory landscape.
Missed this enlightening discussion? Don’t worry. You can download the 2025 Compliance Benchmark Report for deeper insights and actionable takeaways on how to stay ahead in the AI era.
AI isn’t just reshaping industries; it’s reshaping the rules. The organizations that thrive will be those that take AI compliance seriously from day one. Are you ready to take the lead? Contact us to get stated on your compliance journey today.