Protecting data and minimizing threats with Microsoft’s Sarah Armstrong-Smith In brief: When we're talking about cyber-attacks, data breaches, intellectual property theft, whichever way you want to look at it, ultimately it'll come down to one thing, which is effective data governance.A couple of months ago Microsoft actually issued some research in conjunction with Open AI, as we're talking about ChatGPT. What we identified, if we took some of the larger nation state actors, they're using these models to do reconnaissance.We are over five years since GDPR has come into being and other regulations around the world are all coming up to a varying degrees. Has it made any difference? I'm not sure. Arguably, I think it's going to have to get much worse before it gets better.n this VISION by Protiviti interview, Protiviti’s Roland Carandang, Managing Director in the London office and one of the firm’s global leaders for innovation, security and privacy, sits down with Sarah Armstrong-Smith, Microsoft’s Chief Security Advisor for Europe, Middle East and Africa, independent board advisor and author of Understand the Cyber Attacker Mindset: Build a Strategic Security Programme to Counteract Threats. The two discuss Microsoft’s data governance strategies in the face of elevated risk, the impact of AI and emerging technology and what steps business leaders should be talking to build out a strategic security plan. Download Generative AIGenerative AI is capable of creating new and novel content (such as text and images) in response to prompts or requests. Generative AI models have rapidly evolved in the last three years, progressing from text-only models with limited reasoning abilities to multimodal models with advanced step-by-step reasoning and research capabilities. These advancements are key to unlocking the next era of AI evolution, known as agentic AI.Agentic AI“Agentic AI” describes an AI system that employs a large language model (LLM), as well as other technologies, as part of its ecosystem to enable autonomous task planning and support reasoning to achieve human-defined objectives. Operating autonomously without continuous human intervention, agentic AI gathers and evaluates data to determine the best course of action and acts to accomplish its stated objective. Unlike generative AI, which produces content for further action, agentic AI systems leverage an LLM to enable autonomous AI agents to process and interpret large volumes of data, create a plan and produce outputs aligned to their assigned goals. Matthew Moore (Moderator) Matt is a managing director and global leader of Protiviti’s Risk & Compliance practice. He has extensive experience advising clients in matters related to risk management, regulatory compliance, corporate governance and internal controls. Matt helps his clients enhance risk management practices by developing risk appetite frameworks, improving risk governance practices, building executive risk reporting, and redesigning risk management processes. Follow Mathew on LinkedIn Click here to access all issues Learn More Board Perspectives on Apple Podcasts Board Perspectives, from global consulting firm Protiviti, explores numerous challenges and areas of interest for boards of directors around the world. From environmental, social and governance (ESG) matters to fulfilling the board’s vital risk oversight mandate, Board Perspectives provides practical insights and guidance for new and experienced board members alike. Episodes feature informative discussions with leaders and experts from Protiviti and other highly regarded organizations. Subscribe Topics Board Matters Internal Audit and Corporate Governance
