Artificial Intelligence & Machine Learning
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Governance & Risk Management
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Next-Generation Technologies & Secure Development
Security Leaders Weighed AI’s Promise, Perils and the Need for Transparency

Artificial intelligence is no longer a vague concept in cybersecurity. It is poised to reshape the future enterprise operations. At the Cybersecurity Implications of AI virtual summit, held Aug. 19-20, CISOs, tech leaders and AI innovators from across North America, EMEA and APAC examined both the promise and the peril of AI adoption in cybersecurity.
See Also: AI vs. AI: Leveling the Defense Playing Field
Discussions reflected AI’s dual nature: a powerful defense enabler and a disruptive risk factor. From governance and regulatory compliance to operational resilience and third-party risk, speakers underscored the need for deliberate and transparent implementation.
Opening the North American track, Sekhar Nagasundaram, staff vice president of technology and global head of cybersecurity threat and cyber defense at Elevance Health, shared how CISOs are facing the challenge of ensuring AI systems are explainable, auditable and compliant with evolving regulations.
The discussion highlighted the risks of algorithmic bias and adversarial manipulation, and reinforced the importance of transparency and human oversight.
Wendy Willner, product manager at Google SecOps, discussed how security operations centers are adopting agentic AI – autonomous systems that can detect, decide and respond at machine speed. Willner said AI should augment, not replace, analysts by streamlining workflows and reducing fatigue.
Sharat Ganesh, head of product marketing at WitnessAI, spotlighted the inadequacy of legacy approaches, such as keyword searches and regex for data security in AI contexts. Sensitive data can now flow invisibly through AI interfaces and training sets, leaving enterprises exposed. Ganesh called for intent-based frameworks that classify and secure data by context and usage, rather than static patterns. He encouraged attendees to design governance models that anticipate AI’s opacity and scale.
The conversation turned to third-party risk management when Dave Stapleton, chief trust officer at ProcessUnity, examined how predictive analytics and automated evidence review are transforming the field. He argued that AI-driven intelligence allows analysts to focus on higher-value oversight and that its adoption in TPRM is no longer optional but foundational.
Across governance, TPRM, SOC modernization and identity management, speakers emphasized that AI must be implemented deliberately, with trust and transparency at the core. The sessions offered a unified foundation, while regional discussions provided local nuance, reinforcing a central theme: AI will define the next era of cybersecurity, but only if organizations embrace it responsibly and proactively.
“It was a privilege to help host our recent three-region virtual summit on the cybersecurity implications of AI. We’re getting real about the business use cases of AI, getting well beyond the “could be” and into the “happening now.” I’m grateful for all the practical insights on governance, identity management and resilience,” said Tom Field, senior vice president of editorial at Information Security Media Group.
While these sessions provided a common foundation across all three regions, the summit also reflected local priorities. In North America, leaders focused on resilience against AI-powered attacks, synthetic identity fraud and adversarial targeting of AI models. In EMEA, discussions centered on regulatory compliance under the EU AI Act, quantum-resistant cryptography and embedding ethical frameworks into cyber resilience. In APAC, the agenda featured debates over offensive and defensive AI, national infrastructure modernization in the Philippines and CISO perspectives on balancing AI’s risks and opportunities.
“As organizations increasingly rely on third-party AI models and services, securing the AI supply chain has become paramount,” said Geetha Nandikotkur, vice president and conference chair for Asia, Middle East and Africa at ISMG. “The summit was crucial for sharing real-world experiences and building the collaborative relationships needed to secure our digital future.
Key Takeaways
- AI adoption in cybersecurity must be explainable, auditable and compliant with evolving regulations.
- From SOC modernization to third-party risk management, AI is accelerating detection, investigation and monitoring.
- AI is defining the future of cybersecurity, and organizations must implement it responsibly.
Join us at ISMG’s Cybersecurity Summit: London Financial Services on Sept. 11. Discover cutting-edge strategies and insights from industry experts to safeguard your organization against evolving cyberthreats.