The One About AI x Cybersecurity
AI can help us manage risk. But how do we manage the risks that come with AI itself?
Join practitioners as they explore both sides of AI for risk and assurance, from applying AI to cybersecurity risk assessment and encoding expert judgement, to understanding and addressing risks within AI systems themselves.
More info to come soon, keep a lookout! 👀
More About The Sharings
Chee Keong, Evan & Kok Sung (MAS) will share on “RiskVibe: Using AI for Cyber Risk Assessment”
In 2026, the pace of new high-risk cybersecurity vulnerabilities is increasing to hundreds per week yet the average time between the vulnerability announcement and active exploitation is shortening with AI usage. Cyber security teams and system owners are kept awake at night, having to manually research, assess, categorise, and document each vulnerability using their domain expertise, before deciding on the appropriate mitigation.
The RiskVibe team from MAS will share how they developed RiskVibe with their cyber security team to support the Chief Information Security Officer (CISO) in accepting residual risks. Hear how the product automatically categorises vulnerabilities and generates first drafts of risk mitigating controls, alongside lessons from designing and deploying AI to transform existing cybersecurity processes. (Technical Level: 200)
Preet Singh (Founder, Enginelitix.ai) will share on “Stories from the Field: Lessons in Encoding Cybersecurity Expertise into AI.”
What happens when the experts you're trying to learn from disagree with each other, or even contradict their own past decisions? Drawing on five years of work building AI systems for a Fortune 50 cybersecurity team, Preet will share why capturing expert judgement in AI is harder than it looks.
Hear how inconsistent data collection, conflicting expert decisions, misleading accuracy metrics, and model uncertainty shaped the system they built, and why a model reporting 98% accuracy can still be nearly useless in practice. Preet will unpack what they learnt from turning cybersecurity expertise into a system that teams would actually trust and use. (Technical Level: 200)
More About The Speakers
Chee Keong Cheng is a member of MAS Cyber Security Division’s Offensive Security Team and the co-creator of RiskVibe who is passionate about using AI to automate labour intensive Cybersecurity processes.
Evan Ang is a Data Scientist at MAS, building enterprise AI products that help transform how regulators and business teams work with data and intelligence.
Kok Sung Won is a Data Scientist at MAS, building AI-powered solutions that help transform how regulators and business teams work with data and intelligence.
Preet Singh is the founder of Enginelitix.ai, an applied mathematics and AI company. He is co-inventor on a US patent with a Fortune 50 client for an industry-first AI system in cybersecurity operations that captures senior security analysts' decision-making logic and deploys it at scale. His technical career spans 27 years, starting in operational cybersecurity in 2001. He has published at IJCAI and AAAI, previously worked at Microsoft AI & Research, and led AI teams at multiple startups.
More About The Series
AI Wednesdays is Lorong AI’s weekly gathering, bringing together practitioners, researchers and innovators for technical discussions on research insights, product development and engineering practices.
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