AI EdgeLabs, a leader in autonomous AI runtime platforms, unveiled its Compliance Center and Linux Audit, designed to help organizations meet the demands of NIS2, the Cyber Resilience Act (CRA), and other global regulations for mission-critical infrastructure. By replacing manual reporting and scan-based compliance methods, these new capabilities offer continuous visibility, automated audit coverage, and real-time location tracking for key assets.

The platform introduces several key features, including:

  • A single risk score representing an organization’s current compliance status
  • Real-time compliance visibility for NIS2 and CRA frameworks
  • Prioritized asset management based on impact and criticality
  • Extended support for firmware, custom operating systems, and RTOS
  • Guidance to audit and harden Linux configurations
  • Automated, scheme-specific checklists for streamlined compliance
  • Incident reporting and automated response mechanisms

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“With the enforcement of NIS2 and the Cyber Resilience Act, organizations constantly need proof of compliance, not manual mapping or siloed visibility,” said Inna Ushakova, CEO of AI EdgeLabs. “This publication provides real-time compliance positioning, instant vulnerability and misconfiguration detection, which maps to incidents, and automated incident coverage. It also gives teams the operational evidence required by regulatory authorities and the autonomy required by distributed AI environments.”

For organizations navigating complex regulatory requirements, the Automated Compliance Center offers essential visibility and evidence to prepare for NIS2 and CRA. It provides real-time mapping, regulatory-aligned reporting, and automated compliance documentation, reducing both manual effort and operational risk.

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“We built this architecture to simplify traditional security reporting,” said Oleg Mygryn, CTO of AI EdgeLabs. “By integrating custom OS verification with SBOM-based vulnerability detection, we give security teams a granular, prioritized view of their risk. Whether it’s a Linux misconfiguration or a firmware issue on a critical GPU node, our AI engine identifies context and criticality, enabling teams to address key assets before they can be exploited.”

By combining Linux Audit with the Compliance Center, AI EdgeLabs extends its native AI protection directly into the runtime layer. This integration ensures organizations maintain continuous compliance visibility, align with emerging regulations, and gain actionable insights to secure mission-critical environments effectively.

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