In the 3rd Episode of Season 1 of the Attention Needed podcast, we sit down with Roland Cloutier, a trailblazer in cybersecurity and digital risk management. As the former Global Chief Security Officer for TikTok and a leader at major organizations like ADP and Dell/EMC, Roland shares his unparalleled insights on securing AI-driven platforms in an ever-evolving digital world.

From building robust security frameworks for global tech giants to navigating the complexities of generative AI, Roland dives deep into the challenges and opportunities shaping the future of cybersecurity.

💡 Key Topics We Explore:

🔍 Roland’s take on cybersecurity’s evolution and enduring principles

🛡️ Building a secure, compliant framework for generative AI

⚠️ Overlooked AI risks and effective risk management

🚀 The future of security — adapting or reinventing?

Join us for a thought-provoking conversation with Roland and other experts as we unpack the critical role of trust, transparency, and innovation in securing the future of AI.

🎧 Listen to the full episode now and stay ahead in the cybersecurity game!

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📚 Key Questions from the Episode

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✅ Security Foundations and Evolution‍

How has the traditional security landscape evolved over the years?

What foundational security principles still apply today?

How do these principles shift in the context of generative AI?

What challenges are unique to AI that traditional security can learn from?

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✅ Building a Security Framework for Gen AI

What are the core elements of a robust security framework for generative AI?

Which methodologies or tools are essential for companies entering this space?

Where should companies begin when building AI security frameworks?

How can companies balance innovation and security effectively?

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✅ The Role of Risk in AI

How should we think about risk in generative AI models and applications?

What AI-specific risks deserve more attention?

What lessons from traditional security can inform AI risk management?

Is there a need for new risk assessment models or tools in AI?

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✅ The Future of Security in Generative AI

What does the future of security in generative AI look like?

Will traditional and AI-driven security practices converge or diverge?

What advice do you have for emerging AI leaders focusing on security and safety?

What is one AI security innovation you’re most excited about?

What is one challenge the industry isn’t fully prepared for yet?