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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Cross-Language SDK Architecture for Quantum-Safe Security Platforms: Standardized Threat Detection APIs with Language-Native Idioms

Authors: Jain, Gunjan;

Cross-Language SDK Architecture for Quantum-Safe Security Platforms: Standardized Threat Detection APIs with Language-Native Idioms

Abstract

Quantum-safe security platforms must serve diverse engineering teams across multiple programming languages, yet maintaining consistent threat detection semantics while respecting language-native idioms presents significant design challenges. We present a cross-language SDK architecture for QCrypton that delivers five production SDKs—Go, Python, Java, Ruby, and Rust—each exposing 12 threat scanners, a unified threat callback mechanism, and concurrent batch scanning, while following language-specific best practices: functional options in Go, kwargs in Python, overloaded constructors in Java, keyword arguments in Ruby, and the builder pattern in Rust. All SDKs share a standardized response schema (ScanResult with findings, riskScore, and verdict) and a common authentication model (Bearer token), ensuring that security policies are enforced identically regardless of client language. We evaluate the SDK suite across consistency (100% API parity), concurrency models (goroutines, ThreadPoolExecutor, CompletableFuture, Ruby Threads, tokio::join!), and threat callback type safety, demonstrating that language-native patterns reduce integration time by eliminating impedance mismatch without sacrificing cross-language behavioral consistency.

Keywords

callback patterns, threat detection API, SDK architecture, polyglot, Go, Rust, Computer Science, quantum-safe security, Security and Privacy, Software Engineering, Ruby, Java, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average