Ramkumar

Trace-AI’s core services are built using FastAPI for its async-first design and blazing performance. It allows us to deliver lightweight, responsive API endpoints for dependency scoring and compliance automation.

Our runtime engine for parallel package analysis runs on Fargate, giving us scalable isolation and predictable performance without infrastructure overhead.

We love GitHub Actions for its reliability and seamless integration into developer workflows. It powers Trace-AI’s CI/CD, automating every build, SBOM generation, and metadata-risk scan. No other tool matches its ecosystem depth and simplicity.

Very Solid product for tokenisation and invocation. We evaluated VGS, PCI Proxy & Hashi corp. Pros: -> Their Dev Eco system was good. -> Had Libraries/SDKs for almost all languages (we had on our codebases) -> Implementation is straightforward -> No discrenable latency due to this. Cons: -> 1 Minor let down was support for legacy partners with SOAP interface. Cost Observation: -> WHile there is no question of value, I had to convince the Board / CFO for 2 quarters to get budget (It is a costly product - esp if you plan to get PCI-DSS through them) -> Per tokenisation and ionvocation price will start to eat into your margins if your transactions are greater than say 50K a month But it is a solid, secure and overall good product.