Agentic AI
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Artificial Intelligence & Machine Learning
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Data Security
Forcepoint’s Ronan Murphy on Data-Centric Security in the AI Era
Technologies such as AI and cloud are accelerating digital transformation programs across all industries, leaving CISOs with a stark choice: Hit the brakes on innovation or secure the data that’s fueling it.
See Also: Taming Cryptographic Sprawl in a Post-Quantum World
“The one commonality among all flavors of AI is, if you want to get the most bang for your buck, then you need to give it your data,” said Ronan Murphy, chief data strategy officer at Forcepoint. “And that’s where the problem lies. Are you giving it regulated data? Are you giving it confidential data? Are you giving it your trade secrets?” The key challenge lies in data governance as companies feed sensitive information into AI systems to maximize value.
The solution, Murphy said, is to gain visibility into data assets, understand which data is most important to the business, identify where your crown jewels are located, and implement classification and protection measures.
In this video interview with Information Security Media Group at the Gartner Security & Risk Management Summit, Murphy also discussed:
- The difference between vulnerability-based security and data-centric security;
- How data security posture management enables informed decision-making about AI adoption readiness;
- The use of AI-powered defensive capabilities for enhancing threat detection and efficiency.
Murphy has more than two decades of experience in advancing AI-driven data protection across the public and private sectors. He plays a key role in driving Forcepoint’s mission to deliver “Data Security Everywhere” in the AI era. Prior to Forcepoint, Murphy co-founded Getvisibility, where he led the development of AI-powered data security posture management and data detection and response capabilities. He also serves on the AI Advisory Council for the Government of Ireland.