C#
.cs.cs
Semantic / AST + rulesPlatform coverage
RelixQ connects source-level discovery with dependency, certificate, TLS, cloud, and runtime evidence. Coverage is explicit about how each input is analyzed, so teams can distinguish semantic analysis, language-aware rules, structural decoding, and preprocessing.
Source coverage
Language coverage is more than recognizing an extension. RelixQ records the strongest analysis engine used for each scanned language and retains file, rule, location, confidence, and evidence provenance on every finding.
.cs
Semantic / AST + rules.py
Semantic / AST + rules.go
Semantic / AST + rules.java
Semantic / AST + rules.rs
Semantic / AST + rules.c · .h
Semantic / AST + rules.cpp · .cc · .cxx · .hpp
Semantic / AST + rules.adb · .ads · .ada
Language-aware rules.js · .jsx · .mjs · .cjs
Semantic / AST + rules.ts · .tsx
Semantic / AST + rules.php · .phtml
Semantic / AST + rules.rb
Semantic / AST + rules.pl · .pm · .t
Language-aware rules.sh · .bash · .zsh · .ksh
Language-aware rules.kt · .kts
Semantic / AST + rules.swift
Semantic / AST + rules.m · .mm
Language-aware rules.dart
Language-aware rules.scala · .sc
Semantic / AST + rules.jl
Semantic / AST + rules.fs · .fsi · .fsx
Language-aware rules.clj · .cljs · .cljc · .edn
Language-aware rules.ex · .exs
Language-aware rules.erl · .hrl
Language-aware rules.qs
Language-aware rules.sol
Language-aware rules.move
Language-aware rules.vy
Language-aware rules.v · .vh · .sv · .svh
Language-aware rules.vhd · .vhdl
Language-aware rules.st · .iecst
Language-aware rulesSpecialized route
Notebook code cells → Python semantic analysis
RelixQ extracts executable cells from .ipynb files and reports findings under Python, preserving the notebook and cell context.
Specialized route
.cu and .cuh → C++ semantic analysis
CUDA source follows the C++ analysis route so host-side and GPU-oriented cryptographic call sites share one evidence model.
Specialized route
PEM, DER, CRT, CER and key files → X.509 decoder
Dedicated structural parsing records public-key and signature algorithms instead of treating certificate material as plain text.
Specialized route
JWKS and SAML metadata → protocol decoders
RelixQ decodes JWK parameters, JWS headers and SAML signature metadata to surface algorithm and key posture.
Configuration and infrastructure
RelixQ follows TLS, key, provider, cipher, identity, and certificate choices into the configuration and infrastructure files that determine production behavior.
Kubernetes, Helm, Ansible and service configuration
Cloud templates, application configuration and policy
SAML metadata and application configuration
Service and platform configuration
Application, build and dependency configuration
.env variants and runtime configuration
Container build and runtime posture
Cloud infrastructure and provider configuration
Azure infrastructure and deployment parameters
TLS protocol, cipher and certificate configuration
TLS protocol, cipher and certificate configuration
Providers, algorithms, policies and FIPS settings
Host keys, key exchange and cipher policy
Seven evidence input surfaces
Every input surface normalizes into one evidence model. The readiness graph then correlates those observations so teams can deduplicate cryptographic assets, preserve provenance, trace blast radius, and prioritize migrations by exposure rather than raw finding volume.
Discover cryptographic APIs, algorithms, key sizes, protocol choices, embedded material and migration targets across the source estate.
Evidence carried
Repository, file, line, rule, engine provenance and confidence
Follow cryptographic policy into service, container, proxy, identity, and infrastructure definitions that determine deployed behavior.
Evidence carried
Format, resource or directive, environment context, rule, location and confidence
Analyze direct manifests and transitive exposure supplied through complete CycloneDX and SPDX software bills of materials.
Evidence carried
Package identity, version, dependency path and cryptographic role
Observe protocol versions, cipher suites, certificate chains, key and signature algorithms, expiry and hybrid-PQC negotiation.
Evidence carried
Host, port, negotiated parameters, certificate fingerprint and observation time
Inventory managed keys and evaluate algorithms, rotation, aliases, use context and exposure across the three major clouds.
Evidence carried
Provider resource identifier, region, algorithm, rotation and ownership
Connect certificates and transport posture to load balancers, gateways, edge delivery and managed Kubernetes ingress.
Evidence carried
Cloud service, listener, certificate binding, endpoint and environment
Correlate OTLP traces and operational signals with static findings to distinguish cryptography that executes from dormant paths.
Evidence carried
Service, environment, trace correlation, last observed time and activity
Correlation layer
Join source, configuration, dependency, TLS, cloud, and runtime observations into canonical assets for blast radius and migration sequencing.
Evidence carried
Asset relationships, provenance, HNDL context, owners and downstream impact
Cloud and service coverage
Cloud posture joins key-management evidence with certificate bindings, listeners, gateways, edge delivery, application hosting, and Kubernetes ingress.
Cloud platform
Cloud platform
Cloud platform
Standards and artifacts
RelixQ uses open security and telemetry contracts for interoperability while carrying NIST post-quantum standards as structured migration targets. Standards alignment describes product evidence—it is not a certification claim.
Portable findings with severity, tags, help and stable fingerprints
Direct and transitive software dependency evidence
Software package and dependency evidence
Portable cryptographic asset inventory that can be ingested, enriched, and exported per project
Normalized security findings for SIEM correlation
Runtime correlation plus metrics and event delivery
Versioned finding and integration contracts
Enterprise identity, federation and lifecycle provisioning
PQC standard
Structured migration target for key establishment
PQC standard
Structured migration target for digital signatures
PQC standard
Structured migration target for hash-based signatures
Migration guidance
Transition planning context for deprecating quantum-vulnerable standards
Evidence boundary
RelixQ produces measured, dated and sourced evidence for review. Product coverage and framework mappings do not constitute an attestation, certification, or legal opinion.
Evaluate your estate
Scope source ecosystems, cloud services, TLS endpoints, evidence formats, and operating workflows in one bounded evaluation.