Tag: Responsible AI
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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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Shadow AI: The Hidden Risk Lurking Inside Organizations
Artificial Intelligence (AI) has become the driving force behind innovation in enterprises optimizing operations, enabling predictive analytics, and enhancing decision-making. But with AI’s rapid adoption comes a dangerous byproduct: Shadow AI. Just as “shadow IT” once described unsanctioned apps and tools used without IT’s approval, Shadow AI refers to AI systems, models, and tools deployed…