What Is an AI Risk Assessment? A Complete Guide
An AI risk assessment is a systematic evaluation of the potential risks posed by artificial intelligence systems within an organisation. It identifies security vulnerabilities, compliance gaps, ethical concerns, and operational risks, giving decision makers a clear picture of their AI risk exposure before incidents occur. As organisations deploy AI at scale, the question is no […]
“Claudy Day” Is a blueprint for why AI risk management can’t wait
“Claudy Day” Is a blueprint for why AI risk management can’t wait Published by Mike Esber – Director, Littledata 19/03/2026 Yesterday , researchers at Oasis Security dropped a report that should sit uncomfortably with every CISO, compliance officer, and AI governance lead who has been watching enterprise AI adoption accelerate without a matching investment in […]
AI Risk Scoring Methodology: A Quantitative Approach to Measuring AI Risk
A technical deep-dive into LittleData’s 4-dimension AI risk scoring methodology. Learn how Observability, Adversarial, Privacy, and DLP dimensions combine into quantified, auditable, continuous risk measurement.
Shadow AI: The Hidden Risk Lurking in Your Organisation
Your Employees Are Already Using AI — With or Without Permission Shadow IT was the security challenge of the 2010s. Shadow AI is the challenge of the 2020s — and it’s far more dangerous. Across every industry, employees are using AI tools that their IT and security teams don’t know about. They’re pasting sensitive customer […]
AI Incident Response: Building Your Playbook Before It’s Too Late
When Your AI Goes Wrong, Are You Ready? Every organisation with AI in production will eventually face an AI incident. It might be a model producing biased outputs that go viral on social media. A data breach exposing training data containing personal information. An adversarial attack manipulating your recommendation engine. Or a sudden model failure […]
The Rise of AI Supply Chain Attacks: How to Protect Your Models
The Hidden Vulnerability in Your AI Pipeline As organisations rush to integrate artificial intelligence into their operations, a dangerous blind spot is emerging: the AI supply chain. Unlike traditional software supply chain attacks — which target code libraries and dependencies — AI supply chain attacks go after something far more valuable: the models themselves, the […]