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Just as no one wants to run mission-critical systems on decade-old hardware, modern SDLC and DevOps practices must treat software dependencies the same way keep them updated, streamlined, and secure. The average app contains 180 components , and failing to update them leads to bloated code, security gaps, and mounting technical debt.
Why should AI get a pass on S (Secure) SDLC methodologies? Despite the active contributions of SDLC methodologies over the past 20 years—such as Waterfall, Agile, V-shaped, Spiral, Big Bang, and others—there remains a lack of security-by-design for integration into AI developments such as ChatGPT, DALL-E, and Google's Bard.
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