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Testing of error handling, failure monitoring and safety related to cyber threats

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This service provides specialized testing for AI and robotic systems, focusing on error handling, failure monitoring, and safety related to cybers attacks. It aims to enhance system resilience by identifying vulnerabilities and improving reliability and security.

Version: 1.9

  • arable farming
  • horticulture
  • greenhouse
  • tree crops
  • viticulture
  • livestock farming
  • food processing
  • test design
  • test setup
  • test execution
  • collection of test data
  • performance evaluation
  • data analysis
  • people training
  • physical system
  • software or AI model
  • Location: in Poland
  • Offered by: L-PIT



Ensuring the safe, reliable, and secure operation of AI and robotic systems demands a testing that extends beyond basic functionality. This should incorporate tests for error handling, where the system gracefully deals with unexpected situations and recovers on its own. Additionally, continuous failure monitoring through sensor data, system logs, and performance metrics is crucial to identify potential problems before they escalate. Finally, robust cybersecurity threat assessments involving simulated hacking attempts help expose weaknesses and enable the implementation of strong safety measures.