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Agilent InfinityLab Assist Hub: Representing Advancements in Cybersecurity

Others | 2025 | Agilent TechnologiesInstrumentation
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Agilent Technologies

Summary

Importance of the Topic


The rapid convergence of operational technology (OT) and information technology (IT) in laboratory environments has expanded the cybersecurity threat landscape.
The Agilent InfinityLab Assist Hub directly addresses these emerging risks by implementing targeted security controls, ensuring data integrity, device availability, and regulatory compliance within modern analytical workflows.

Objectives and Overview of the Paper


This white paper aims to:
  • Define the unique cybersecurity challenges of connected laboratory OT systems.
  • Review relevant international standards and regulatory frameworks.
  • Present the architecture and security features of the Agilent InfinityLab Assist Hub and Control Software.
  • Demonstrate how these solutions mitigate common threats in lab environments.


Methodology and Instrumentation


The study combines a standards-based risk analysis with an architectural review of the Assist Hub solution.
  • Risk assessment of OT-specific vulnerabilities and threat scenarios.
  • Mapping the Purdue reference model to laboratory workflows.
  • Evaluation of regulatory requirements (NIS2, GDPR, NIST CSF, CMMC, ISO/IEC 27001, China CSL/MLPS/PIPL).
  • Technical description of the Agilent InfinityLab Assist Hub hardware and Assist Control Software.


Main Results and Discussion


The Agilent InfinityLab Assist Hub introduces several key security improvements:
  • Physically segmented network ports for safe separation of instrument modules from corporate IT.
  • Role-based access control with five predefined user roles and multi-factor authentication options.
  • Encrypted communication channels between LC drivers, web interface (HTTPS/TLS), and integrated logging.
  • Controlled access tokens that bind specific chromatographic drivers to approved devices.
  • Streamlined update deployment via USB or secure web portal with built-in backup and restore.

The solution effectively addresses legacy vulnerabilities, weak segmentation, patch management gaps, lack of monitoring, insider threats, and insecure remote access.

Practical Benefits and Applications


Implementing the Assist Hub in a laboratory IT/OT convergence strategy delivers:
  • Enhanced confidentiality and integrity of chromatographic data.
  • Improved device uptime through robust patch and change management.
  • Regulatory compliance support via detailed audit logs and secure update workflows.
  • Simplified integration with Agilent OpenLab CDS Client/Server architectures.
  • Reduced risk of unauthorized access or malware propagation in OT layers.


Future Trends and Potential Applications


As Industry 4.0 and Pharma 4.0 initiatives evolve, laboratories will demand:
  • AI-driven anomaly detection and threat hunting tailored for OT devices.
  • Cloud-based security information and event management (SIEM) for lab networks.
  • Standardized OT security frameworks harmonized with global regulations.
  • Edge-to-cloud encryption and zero-trust architectures for instrument data.
  • Integration of predictive maintenance and self-healing network technologies.


Conclusion


The Agilent InfinityLab Assist Hub, together with the Assist Control Software, provides a comprehensive, standards-aligned cybersecurity platform for analytical laboratories.
By combining network segmentation, role-based access, encrypted communications, and easy update mechanisms, it significantly reduces OT-specific risks and supports secure IT/OT convergence.

Reference


  • Agilent Technologies. InfinityLab Assist User Manual, D0113047 Rev. A, May 2024.
  • European Commission. Proposal for Directive on Measures for a High Common Level of Cybersecurity Across the Union (NIS2), 2024.
  • Claroty. IT vs OT Security: Key Differences in Cybersecurity, 2024.
  • NIST. Cybersecurity Framework Version 1.1, 2018.
  • ISPE. Pharma 4.0 Framework, 2017.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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