Artificial intelligence is rapidly reshaping how organizations operate, from automation and analytics to decision-making and product development. As AI systems become embedded in critical business workflows, cybersecurity leaders are playing a central role in ensuring these technologies are deployed safely, governed responsibly, and protected from emerging threats.
The leaders featured here represent different parts of the AI ecosystem. Some are building AI-driven security platforms, others are leading AI transformation inside cybersecurity companies, and some are responsible for securing businesses that increasingly rely on advanced data, automation, and machine learning to operate at scale.
Dr. Magda Chelly — Co-Founder, Managing Director & Chief Information Security Officer, RiskImmune
Dr. Magda Chelly is a cybersecurity entrepreneur and executive helping organizations navigate the growing complexity of third-party risk in an AI-driven digital economy. As co-founder of RiskImmune, she leads the development of an AI-powered platform designed to streamline extended third-party risk management, helping enterprises assess vendors, partners, and supply chain risks more efficiently.
RiskImmune’s platform applies intelligent automation and data analysis to accelerate security evaluations and improve operational efficiency in risk programs. Alongside her work building AI-enabled security solutions, Chelly is also active in cybersecurity education and mentoring, advocating for stronger cyber awareness as AI systems expand the digital attack surface.
Diana Kelley — Chief Information Security Officer, Noma Security
Diana Kelley is Chief Information Security Officer at Noma Security, an AI security company helping enterprises secure AI applications and agents at scale. Noma Security focuses on areas such as AI discovery and inventory, AI supply chain security, AI red teaming, and runtime protection, placing Kelley at the center of one of the fastest-growing areas in cybersecurity.
She brings one of the deepest leadership backgrounds in the field, with prior roles including CISO at Protect AI, Cybersecurity CTO at Microsoft, and senior positions at IBM Security, Symantec, Gartner, and KPMG. Kelley is also a prominent voice in the industry through her board work, speaking, teaching, and writing on cybersecurity architecture, AI security, and machine learning risk.
Poornima DeBolle — Chief Technology Officer and AI Transformation Office; General Manager of Data Security, Menlo Security
Poornima DeBolle leads AI transformation efforts at Menlo Security while also overseeing the company’s data security business. In her role as CTO and head of the AI Transformation Office, she focuses on accelerating the company’s AI security roadmap and integrating AI capabilities across internal operations and product development.
Her work includes identifying browser-based AI use cases, aligning cross-functional teams around AI initiatives, and launching proof-of-concept deployments for AI agents that support customer service and business development functions. As organizations increasingly adopt generative AI and automation tools, DeBolle’s leadership reflects the growing need to embed security into AI platforms and enterprise workflows from the outset.
Dina Mathers — Chief Information Security Officer, Carvana
As Chief Information Security Officer at Carvana, Dina Mathers leads cybersecurity strategy for a highly digital automotive marketplace that relies heavily on data, automation, and large-scale online infrastructure. Companies operating large e-commerce platforms increasingly use machine learning and AI-driven analytics to power recommendations, fraud detection, customer interactions, and logistics optimization.
In that environment, security leadership plays a critical role in protecting sensitive customer data, securing complex digital platforms, and ensuring that advanced technologies can scale safely. Mathers brings a pragmatic leadership approach focused on collaboration across teams, emphasizing that strong security programs are built through partnership across engineering, operations, and business units.
Rinki Sethi — Chief Security and Strategy Officer, Upwind Security
Rinki Sethi is one of the most recognized cybersecurity executives in the technology sector, with leadership experience spanning companies such as IBM, Intuit, Palo Alto Networks, Rubrik, Twitter, and BILL. She currently serves as Chief Security and Strategy Officer at Upwind Security, a cloud-native security company focused on protecting modern application environments.
Cloud security platforms increasingly incorporate AI and machine learning to analyze workloads, identify anomalies, and prioritize threats across complex infrastructure. Sethi’s role combines deep technical expertise with strategic leadership, helping guide how modern security platforms evolve to protect dynamic cloud and AI-driven environments while enabling organizations to innovate safely.
The Growing Intersection of AI and Cybersecurity
Artificial intelligence is transforming both sides of the cybersecurity landscape. Organizations are using AI to strengthen defenses, automate threat detection, and improve security operations, while attackers are also exploring new ways to exploit AI systems and data.
That dynamic makes cybersecurity leadership more important than ever. Leaders who understand both security fundamentals and emerging AI technologies are helping organizations deploy innovation responsibly while maintaining trust in increasingly automated systems.
For more profiles highlighting influential women in cybersecurity leadership, explore the Women’s Month tag.