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Balancing AI Innovation, Security and Governance at Scale
Organizations have reached a turning point in AI adoption, with measurable productivity gains and rapid enterprise deployment. But CISOs don’t need to choose between speed and security – they can do both, said Ravi Krishnamurthy, vice president of AI foundations and responsible AI at ServiceNow and Ian Swanson, vice president of AI security products at Palo Alto Networks.
See Also: Taming the Rise of Shadow AI Agents
Companies now embed AI across customer service, back-office and operational workflows. This change demands stronger governance models that align innovation with risk management, while enabling scalable transformation across the business, they said.
Meanwhile, security leaders face pressure to accelerate AI while maintaining and balancing speed and control, Swanson said. Enterprises must discover shadow AI, assess new risks, and deploy runtime protections against threats such as prompt injection and memory manipulation.
Organizations must move fast while embedding security into every stage of AI deployment. A combined approach enables confident innovation and sustained business value.
Partnerships like the one between ServiceNow and Palo Alto Networks that integrate visibility, scanning, and response capabilities help organizations operationalize secure AI adoption, they said.
“The risk of not moving is higher than the risk of moving. But how can you move …and manage risk at the same time? It’s a new paradigm.” Krishnamurthy said.
In this video interview with Information Security Media Group at RSAC Conference 2026, Krishnamurthy and Swanson also discussed:
- How AI control towers unify governance, risk and business priorities;
- Runtime protection addresses emerging AI-specific threats;
- Secure-by-design principles guide scalable AI deployment.
Swanson focuses on securing artificial intelligence applications and machine learning environments at Palo Alto Networks. He founded Protect AI, acquired by Palo Alto Networks, and previously led global AI and machine learning initiatives at Amazon Web Services and Oracle.
Krishnamurthy has more than 20 years of experience in AI strategy, product development and enterprise transformation, building large scale AI products and governance programs that drive business value and trust.
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