Building FlashFathom AI SAAS project that generate Flascards - Deployment Using DevSecOps Best Practices

Your AI remembers what it did, proves it, and gets smarter every session

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This is a Vulnerable Web Application , which be used to demonstrate how these vulnerabilities can be exploited and to understand how to prevent them.

R package for LLM safety guardrails across prompts, outputs, RAG context, PII, secrets, and local Ollama/NLP workflows.

Production-grade AI agent governance framework implementing the PC2E pillars (Predict, Communicate, Explain) with four core imperatives: Scalability, Security, Zero Technical Debt, and Privacy. Includes OWASP LLM Top 10 compliance, prompt injection defences, PDPA/privacy controls, and deployment guides for Cursor, Windsurf, Claude Code, and VS Code

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Vulnerability Assessment Report for a Live Website – Future Interns Task 01