Category: DevSecOps
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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 injection, model leaks, hallucinations. But what if the problem began before the model ever answered a question? When training or fine-tuning data is manipulated, the model is “poisoned at birth.” That means the flaw is…
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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 data pipelines, prompts, agents, plugins, and safety layers. You’ll get a step-by-step method, threat catalogs, sample scenarios, and concrete mitigations you can implement today without killing developer velocity. Why threat modeling for GenAI is different…
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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 on. With rising threats, stricter regulations, and more complex architectures, embedding security at every phase of the Software Development Life Cycle (SDLC) is essential. This is where Secure SDLC (SSDLC) comes into play. This comprehensive…