Experiments and prototypes in AI-driven security, compliance, automation project & products.
Synthesized Real-time Intelligence & Strategic Task Interface
Most software today is built for speed first, with security and privacy added later—often as patches, policies, or workarounds.
This GitHub exists to challenge that default.
I use it as a place to design and build AI-native tools that solve real business and real-world problems, while treating privacy and security as design constraints from the start, not afterthoughts.
- Turning complex requirements into simple, usable systems
- Building AI-powered tools that reduce friction without weakening controls
- Exploring how agentic and no-code platforms can still support secure-by-default design
- AI / Models: GPT-4o, Claude, Gemini
- Agentic Development: Antigravity, LangFlow, BuildShip
- Web: Next.js, React
- Cloud: Vercel (Serverless & Edge)
- Principles: Privacy by Design • Security by Default • Least Privilege
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ai-security-lab
Practical experiments around security misconfigurations, policy reasoning, and AI-assisted analysis -
antigravity-playground
Rapid prototyping with agent-driven development, tested against real constraints
Projects evolve through iteration, testing, and failure.
- Build tools that are useful before they are impressive
- Prefer clarity over cleverness
- Learn by shipping, measuring, and improving
- GitHub: https://github.com/SristiNative
- Vercel: Coming soon
Build fast. Design for safety first.