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Trust & Security

Trust Center

Public trust, security, and governance context for the NeroLynx platform and its commercial operating model.

Product boundary

NeroLynx is designed to help teams generate and validate detections from sparse threat research while preserving human review and governance around the resulting artifacts.

Operational model

Trust, privacy, legal, and commercial commitments sit under the same parent company structure used across NeroSpace products, adapted to the NeroLynx workflow and hosting model.

Last updatedApril 15, 2026
ContactTrustLegal NoticesPrivacy PolicyService Agreement

Overview

This Trust Center summarizes the public-facing operational posture for NeroLynx. It is intended to help customers and prospects understand the product boundary, governance posture, and supporting trust resources around the hosted platform.

NeroLynx exists to help security teams respond earlier when a new vulnerability appears but the telemetry, exploit chain, or vendor guidance is still incomplete. That makes trust, review, and clarity around generated outputs especially important.

Security posture

  • Governed hosted workflows for URL ingestion, synthetic telemetry generation, and detection output review
  • Account, billing, quota, and organization controls managed in the commercial backend
  • Public trust, privacy, legal, and service documents available from the website footer and this page
  • Clear separation between hosted workspace operations and enterprise deployment controls
  • A workflow model that expects analyst review before production deployment

Operational expectations

NeroLynx is designed to accelerate detection engineering, not to remove review. Generated artifacts are meant to be inspected, validated, tuned, and promoted by the customer into their existing SIEM or detection platform.

Because the product operates on sparse or incomplete vulnerability research, outputs should be interpreted as evidence-backed acceleration rather than final unquestionable truth.

Customers should expect to apply their own environmental context, data model, field naming, enrichment, and testing practices before moving outputs into production detection content.

Key trust resources

  • Privacy Policy for data handling and retention expectations
  • Service Agreement for the hosted commercial relationship
  • Legal Notices for corporate and website notice details
  • Contact page for commercial, trust, procurement, and legal routing
Contact path

Use the Contact page for trust questionnaires, procurement requests, privacy questions, or general legal inquiries.

Contact usRead Privacy Policy

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