Tag: machine learning security
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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…
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Adversarial AI in the Wild: Real-World Attack Scenarios and Defenses
AI is no longer just predicting clicks and classifying cats. it’s browsing the web, writing code, answering customer tickets, summarizing contracts, moving money, and controlling workflows through tools and APIs. That power makes AI systems an attractive, new attack surface often glued together with natural-language “guardrails” that can be talked around. This guide distills the…