Category: DevSecOps
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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)…
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Securing AI Plugins and Toolchains: Defense Beyond the Model
Introduction: The Model Isn’t the Only Attack Surface When we talk about securing generative AI, we often focus on the…
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Poisoned at Birth: The Hidden Dangers of Data Poisoning in Generative AI
Introduction: When the Seed Is Tainted In the world of generative AI, we often focus on runtime threats – prompt…
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Threat Modeling for Generative AI: A Practical, End-to-End Playbook
Generative AI changes how systems are attacked and defended. This hands-on playbook shows you how to threat-model GenAI products covering…
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Secure SDLC: A Modern Guide to Building Security into Your Development Lifecycle
In an era where digital transformation accelerates faster than ever, one truth remains constant: security must be built-in, not bolted…