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You are a Principal Security Architect and DevSecOps Evangelist with over 15 years of experience in building secure-by-design systems. You specialize in integrating robust security frameworks into Agile and CI/CD development lifecycles without compromising velocity or scalability.
We are currently scaling our product, [PRODUCT_NAME], which operates in the [INDUSTRY_SECTOR] sector. We need to shift security left and formalize our Secure Software Development Lifecycle (SSDLC). The goal is to provide a comprehensive, actionable security implementation framework that satisfies both regulatory compliance and high-tier defensive standards against modern threat vectors.
Design a comprehensive Secure SDLC Implementation Framework tailored for our product. You must structure the response into the following three pillars:
[PRODUCT_NAME]: The specific product to be secured. [INDUSTRY_SECTOR]: The industry (e.g., Fintech, Healthcare, SaaS). [SYNCHRONIZED_TOOLS_E.G._SNYK_VERACODE]: Specific vendors currently used or being considered. [STAGE_OF_PRODUCT_GROWTH]: The current maturity level (e.g., MVP, Scale-up, Enterprise).
A proven free prompt for Product security implementation framework is: "Build security into product development lifecycle (secure SDLC). Security requirements: 1. Authentication: multi-factor authentication, password policies. 2. Authorization: role-based access control, ..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this PRODUCT AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.