Tag: Model Governance
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AI Red Teaming: Breaking Your Models Before Attackers Do
How to stress-test, find, and fix the real vulnerabilities in your AI systems before someone else does. TL;DR AI red teaming is an adversarial, multidisciplinary practice that probes production and pre-production models to surface security, safety, privacy and misuse risks. It borrows from cyber red teams but expands to data, model artifacts, pre-trained components, prompt…
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From DevSecOps to MLSecOps: Securing the AI Development Lifecycle
In recent years, organisations have matured their software-development practices through models like DevSecOps integrating security (“Sec”) into the development (Dev) + operations (Ops) lifecycle. Now, as artificial intelligence (AI) and machine-learning (ML) systems become core to business operations, a new discipline is emerging: MLSecOps (Machine Learning Security Operations). MLSecOps takes the DevSecOps ethos but extends…