CyberNX Launches NXRadar – An AI-Enabled SBOM Management Platform

2026-06-20 · Source: The AI Journal · Field: Technology & Digital — Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, short

Summary

CyberNX launched NXRadar on June 20, 2026, an AI-enabled Software Bill of Materials (SBOM) management platform designed for regulated organizations in India. This indigenously built tool addresses the full SBOM lifecycle, from automated generation and continuous monitoring to compliance reporting and vulnerability management, specifically for entities under RBI, SEBI CSCRF, and CERT-In mandates. NXRadar features a multi-source generation engine covering source code, binaries, container images, and CI/CD pipelines, providing auto-regenerating SBOMs that continuously track changes. It offers a unified dashboard for managing unlimited applications, supports SPDX and CycloneDX standards, and integrates into DevSecOps pipelines. The platform also provides continuous vulnerability monitoring with risk scoring and generates reports aligned with specific regulatory parameters, supporting both SaaS and on-premise deployment models while ensuring data privacy.

Key takeaway

For DevOps Engineers and Security Architects managing software supply chain risks in regulated sectors, your current point-in-time SBOM practices are insufficient for evolving mandates. You should implement an AI-enabled, continuous SBOM management platform like NXRadar to automate generation, monitor vulnerabilities dynamically, and ensure audit-ready compliance evidence. This shifts your focus from static documentation to proactive, real-time software component governance, significantly reducing blind spots and accelerating vulnerability response.

Key insights

Automated, continuous SBOM management is essential for regulatory compliance and proactive software supply chain security.

Principles

• Continuous SBOM generation provides current, auditable evidence.
• Unified management centralizes oversight of diverse software assets.
• Dynamic risk scoring prioritizes vulnerability remediation effectively.

Method

Generate SBOMs from multi-sources (code, binaries, containers, CI/CD), auto-regenerate them with component changes, and correlate with live vulnerability feeds for risk scoring.

In practice

• Embed SBOM generation directly into DevSecOps workflows.
• Utilize a single dashboard for managing all application SBOMs.
• Leverage risk scores to prioritize vulnerability patching.

Topics

• SBOM Management
• Software Supply Chain Security
• Regulatory Compliance
• DevSecOps
• Vulnerability Management
• AI-Enabled Security

Best for: CTO, VP of Engineering/Data, Executive, AI Security Engineer, DevOps Engineer, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.