Colin Nwachukwu Ife
AI Risk & Security Leader | Enterprise AI & Risk Intelligence
Colin Nwachukwu Ife
AI Risk & Security Leader | Enterprise AI & Risk Intelligence
About
I lead work on AI risk intelligence at Geordie AI, helping enterprises understand, prioritise and control the risks of AI agents as they move from experimentation into production.
Over the past decade I've led applied AI work that turns research into products customers rely on. At Glasswall I led Applied AI R&D, driving the development of Glasswall Foresight, a patent-backed AI product for file threat detection and document intelligence, and building the data and ML platforms that took it from research to customer-ready capability.
My focus is decision-making under uncertainty: turning complex, high-risk technical problems into clear, evidence-based choices that executives and customers can act on. I speak on deploying AI safely in the enterprise.
I hold a Ph.D. in Cybersecurity from UCL, supervised by Gianluca Stringhini and Steven J. Murdoch, where my research used data-driven, interdisciplinary methods to measure and disrupt malware distribution networks. I also hold an MRes in Security Science from UCL, and a BA (Hons.) and MEng in Information and Computer Engineering from the University of Cambridge (Jesus College, MA conferred).
Selected Work
Talks, writing and research on AI risk and decision-making under uncertainty.
Speaking
BSides Bournemouth 2026
The Riskiest Agent in the Building: Profiling 100,000 Production Agents by Their Actions
Bournemouth, November 2026.
Infosecurity Europe 2026
When Agents Go Off-Script: Controlling Behavioural Drift Through Context Engineering
London, June 2026.
DataFest 2026
From Copilots to Agentic Systems: How Enterprise AI Is Really Evolving (Keynote)
Edinburgh, May 2026.
Earlier
Paper talks at RAID ‘21 and AsiaCCS ‘19
Writing
2025
The New Attack Surface: Why AI Agents Need Taint Analysis
Geordie AI, October 2025.
2024
How Glasswall’s experts are tackling ‘concept drift’ in machine learning for malware detection.
Glasswall, September 2024.
2020
Thoughts on the Future Implications of Microsoft’s Legal Approach towards the TrickBot Takedown.
Bentham’s Gaze, October 2020.
2019
We’re fighting the good fight, but are we making full use of the armoury?
Bentham’s Gaze, November 2019.
A Reflection on the Waves Of Malice: Malicious File Distribution on the Web (Part 2).
Bentham’s Gaze, September 2019.
A Reflection on the Waves Of Malice: Malicious File Distribution on the Web (Part 1).
Bentham’s Gaze, September 2019.
Publications
2021
Colin C. Ife. Measuring and Disrupting Malware Distribution Networks: An Interdisciplinary Approach. UCL (University College London).
a four-year journey into the complexities of malware delivery networks and how we can disrupt them. 2021. [thesis]
Colin C. Ife, Yun Shen, Steven J. Murdoch, and Gianluca Stringhini. Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown. In 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID ‘21).
San Sebastian, Spain, october 6-8 2021. [paper] [slides]
2019
Colin C. Ife, Toby Davies, Steven J. Murdoch, and Gianluca Stringhini. Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime.
Cybercrime, Place, the internet, and a new perspective. October 2019. [PRE-print]
Colin C. Ife, Yun Shen, Steven J. Murdoch, and Gianluca Stringhini. Waves of Malice: A Longitudinal Measurement of the Malicious File Delivery Ecosystem on the Web. In Proceedings of ACM Asia Conference on Computer and Communications Security (AsiaCCS ’19).
Auckland, New Zealand, July 9-12 2019. [Paper] [SLIDES]
Thesis
Measuring and Disrupting Malware Distribution Networks: An Interdisciplinary Approach
A data-driven study of how malware delivery operations work, how they respond to takedowns and law enforcement, and where they can be disrupted most effectively.