Before GenAI became a must-have in every product, most AI implementations were internal. They were tucked safely behind layers of infrastructure, rarely seeing the light of the public internet. This isolation limited their exposure to data poisoning or unauthorized exfiltration. But GenAI changed the architecture. Today, AI implementations serve the end user directly and are frequently exposed to the internet. This shift has turned the AI pipeline into a primary attack surface.The pressure to ship is the greatest enemy of due diligence. In the AI gold rush, the mandate is clear: Release implementations that are as powerful as possible and as fast as possible.Do you think that role of security in responsible AI development should be the first thing to consider before development ?
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