Columbia University fellow shares 20 years of security expertise

Executives often don’t grasp their organization’s security vulnerabilities until a breach occurs, according to a new book aimed at bridging the knowledge gap between leadership and cybersecurity teams. Information Security for Executives offers non-technical leaders practical frameworks for evaluating risk and strengthening oversight, drawing on over 20 years of experience author Fred Igbeare gained working with Fortune 500 companies and other organizations.

A Knight-Bagehot Fellow at Columbia University Journalism School, Igbeare explains by providing accessible guidance on AI-driven threats and evolving cyber risks. The book is now available in multiple formats from Amazon and other booksellers.

Igbeare’s 20 Years Experience Informs Cybersecurity Leadership Guide

Extensive practical experience informs Fred Igbeare’s approach to cybersecurity leadership; he has worked with Fortune 500 companies and other organizations, informing the strategies detailed in his new book, Information Security for Executives. This focus on real-world application distinguishes the guidance from purely theoretical models, offering leaders actionable insights honed through years of navigating complex organizational challenges. Igbeare’s background extends beyond technical expertise, encompassing a commitment to clear communication, evidenced by his completion of the Knight-Bagehot Fellowship at Columbia University Journalism School.

Columbia University’s research into quantum computing and advanced algorithms provides a backdrop for the increasing sophistication of cyber threats Igbeare addresses, highlighting the need for leaders to understand these evolving risks. “Leaders have their hands full working to achieve their respective organizations’ missions, goals and objectives,” Igbeare said.

He developed Information Security for Executives specifically to alleviate this burden, providing a resource designed to simplify complex security concepts for non-technical audiences. This focus on accessibility is particularly relevant given the growing role of artificial intelligence in both attack and defense, requiring leaders to grasp the implications of AI-driven threats without needing a deep technical understanding of the underlying technologies. Igbeare frames effective information security not merely as a defensive measure, but as a driver of business value, reducing operational costs, mitigating risks, and creating opportunities for growth.

This perspective aligns with Columbia University’s industry partnerships, which aim to translate academic research into practical solutions for real-world problems. Igbeare explained, positioning the work as a proactive tool for strengthening organizational resilience. The book details frameworks for evaluating security operations and governance, enabling leaders to proactively assess their posture and reduce the potential impact of cyber incidents before they escalate.

Leaders have their hands full working to achieve their respective organizations’ missions, goals and objectives.

Fred Igbeare, Author
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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