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By making security considerations visible throughout the SDLC, teams can proactively address potential risks and build more secure software products. Faster problem resolution and reduced downtime benefit every party involved in the SDLC.
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.
A user starts by downloading the CLI and providing an authentication token that connects with Mayhem for API cloud service and authorizes the fuzzer for testing. This architecture allows testing to be ingrained into all aspects of the SDLC.
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