Season 4 Episode 5: Building Trustworthy AI | Governance, Risk & Security in Practice

AI adoption is no longer a question of whether organisations will use it. It's a question of how responsibly they can scale it.

In Episode 4, we explored the growing AI governance gap and why security teams risk losing visibility as AI adoption accelerates across the enterprise.

Now we take the conversation one step further.

How do you actually build AI that your organisation, customers, employees, and regulators can trust?

In Episode 5 of AI, Identity and Trust we move beyond AI principles and frameworks and look at what trustworthy AI governance needs to look like in practice.

We explore:

• Building an enterprise AI governance strategy
• AI risk assessments and risk-based decision making
• Secure AI adoption without becoming the innovation bottleneck
• Human oversight and accountability
• AI supply chain and third-party risk
• AI compliance expectations
• Security architecture for enterprise AI
• Operationalising AI governance across the organisation
• Balancing innovation, risk, and organisational trust

Frameworks can provide structure.

But a framework alone doesn't create trustworthy AI.

Trust is created through architecture, governance, accountability, monitoring, and the decisions organisations make throughout the AI lifecycle.

The real question for security leaders isn't:

"Do we have an AI policy?"

It's:

"Can we demonstrate that the AI we're deploying is worthy of trust?"

Connect with me on LinkedIn for additional insights and ongoing discussions:

https://www.linkedin.com/in/oliviaabibayo

For speaking engagements, advisory opportunities, partnerships, or general enquiries:

📧 [email protected]

Thank you for listening to The Virtual CISO.

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