Secure, Deterministic Code Generation for Enterprise Modernization
Niral.ai is an enterprise design-to-code platform that generates secure, deterministic, and standards-aligned front-end code for application modernization programs. The platform embeds secure coding logic aligned with OWASP Top 10 guidelines and produces outputs compatible with enterprise static analysis tools, including SonarQube and SAST frameworks.
Security is enforced at generation — not reviewed after development.
Niral.ai's generation logic incorporates secure development practices aligned with OWASP Top 10 web application security principles.
Structured input validation patterns
Protection against common injection risks
Secure component defaults
Controlled data-binding practices
Avoidance of insecure scaffolding patterns
Modernization efforts do not introduce avoidable vulnerabilities by design.
Generated outputs are fully compatible with enterprise static code analysis workflows.
Has successfully passed SonarQube quality and security scans
Supports integration with SAST tools and quality gates
Adheres to maintainability and complexity thresholds
Integrates into existing CI/CD quality pipelines
Organizations retain full control over code review, scanning, and enforcement processes.
Unlike probabilistic AI tools that may generate inconsistent implementations, Niral.ai produces rule-governed, deterministic outputs.
Code variability across teams
Unexpected deviations during security audits
Manual security correction effort
Regression risk during modernization cycles
Consistency strengthens security posture.
Niral.ai is designed with strict enterprise data governance principles:
Customer code and design artifacts are not used to train public AI models
Secure processing of design inputs
Controlled access environments
Logical isolation between customer projects
Enterprises retain full ownership of generated code and modernization outputs.
Generated code is fully owned by the enterprise
No proprietary runtime dependency
Maintainable independent of the Niral.ai platform
Compatible with existing frameworks and toolchains
Modernization reduces technical debt — it does not introduce new dependency risk.
Niral.ai integrates into enterprise development ecosystems:
Git-based version control systems
CI/CD pipelines
Static and dynamic security scanning tools
Internal architecture governance models
Security controls remain part of the development lifecycle.
Niral.ai generates front-end code aligned with OWASP Top 10 secure coding principles and enterprise secure development standards.
Yes. Generated outputs are compatible with SonarQube and enterprise static analysis tools and have passed quality and security scans in production modernization programs.
No. Customer code and design artifacts are not used to train public AI models.
The enterprise retains full ownership of all generated code and outputs.
Niral.ai combines deterministic generation, OWASP-aligned secure coding logic, and static analysis compatibility to deliver secure, maintainable outcomes at scale.