The AI Threat Matrix Your Security Team Is Missing
Organizations are adopting AI tools faster than their security teams can evaluate them, and the risks are not hypothetical.
Data leakage through AI prompts, compromised machine learning models in the software supply chain, and misuse of AI-generated content are active problems that security teams are being asked to address without much guidance on where to start.
Most responses to AI risk are reactive. A tool gets flagged, a policy gets written, and the team moves on until the next incident surfaces a gap that nobody had mapped.
The problem with that approach is that AI is not a single threat vector with a known playbook. It is a broad and fast-moving attack surface that requires a structured methodology to assess, or you will always be behind it.
Join the Upcoming Workshop:
In this live virtual session, you will learn how to use the TaSM framework across a range of real threats, including AI, and leave knowing exactly how to assess and prioritize the risks that actually matter to your organization.
Date: Tuesday, March 31, 2026
Time: 12:30 PM PST
Location: Virtual (Zoom link provided upon registration)
Price: $20 (FREE for Cybersecurity Club readers!)
👉 Get a FREE Ticket (usually $20)
What an AI Threat Matrix Actually Is
A threat matrix is a structured way to map known threats against the assets and business functions they put at risk.
When applied to AI systems, it forces you to think through every point where an AI tool touches sensitive data, interacts with external systems, or produces outputs that other processes depend on.
The result is a clear picture of your AI-related exposure that you can present to leadership, use to prioritize controls, and update as the threat landscape evolves.
The three categories that matter most right now are data leaks, supply chain risks, and misuse. Data leaks happen when employees input sensitive information into AI tools that were never designed to keep that data within the organization.
Supply chain risks involve the models themselves, where a compromised or poorly vetted model introduces vulnerabilities into systems that depend on it. Misuse covers the ways AI tools can be weaponized, whether by insiders or external actors, to generate phishing content, bypass controls, or manipulate outputs.
Each of these categories requires a different set of controls, and mapping them together gives you a defense strategy that is coherent rather than reactive.
A Framework Built for This Kind of Problem
The TaSM (Threat and Safeguard Matrix) framework was developed by Ross Young.
Ross is a former CIA and NSA officer who has served as CISO at Caterpillar Financial and Divisional CISO at Capital One, he developed the framework after observing security teams consistently waste resources addressing threats that were low priority while leaving material risks unaddressed.
The framework gives you a structured method for mapping threats directly to business impact, so that your AI risk assessment produces a prioritized, defensible security strategy rather than a checklist of controls with no clear rationale.
Applied to AI, TaSM lets you walk into any conversation with leadership, a vendor, or an audit team with a clear and organized view of where your exposure sits and what you are doing about it.
Join the Upcoming Workshop
In this live virtual session, you will learn how to build an AI threat matrix from scratch using the TaSM framework.
The framework will help you work through real AI risk scenarios across data leaks, supply chain vulnerabilities, and misuse, and leaving with a template you can apply immediately.
Date: Tuesday, March 31, 2026
Time: 12:30 PM PST
Location: Virtual (Zoom link provided upon registration)
Price: $20 (FREE for Cybersecurity Club members!)
👉 Get a FREE Ticket (usually $20)
