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Artificial Intelligence

Our Artificial Intelligence (AI) improves the performance of defensive solutions by introducing an additional cognitive layer to your system.

We offer both operational AI – implemented using Orion Malware – as well as research into AI-driven cyber security processes, such as User and Entity Behaviour Analytics (UEBA). The purpose of AI research is to enrich existing SOCs by bringing together the best of SIEM detection and AI through the sharing of threat intelligence resources. AI introduces an additional cognitive and predictive layer that reinforces human expertise without replacing it.

Artificial Intelligence as an enabler

 

Use case: Adversarial AI
Use case: Defensive AI
  • Identify weaknesses within the organisation to enhance cyber security policies, educate employees about vulnerabilities, and ensure that the organisation is prepared for even the most sophisticated attacks
  • Contribute to improving the detection rate and protection mechanisms for cyber defenders, in particular SOC teams
  • HoneyPot, the only European machine learning solution
  • Increase the detection of attacks by extending and duplicating the attack surface (deceptive security) while simultaneously correcting any detected weaknesses
  • Ability to detect and isolate unknown and sophisticated threats, such as unrecognised attacks from enemy AIs
  • Straight-forward and fast communication with your SOC and receive immediate alerts in the event of an intrusion

 

Enhancing your capabilities

 

BEHAVIOURAL ANALYSIS
  • UEBA (User and Entity Behaviour Analytics)
    cognitive supervision
  • Improved profiling and analysers (40 file
    formats already supported)
  • Machine learning techniques
  • Interconnects with the MISP and APT
    databases
ASSESSMENT AND CERTIFICATION
  • Assessment of business AI
  • Help administrations certify AIs
  • Validate AI compliance with CyberRange
  • Studies on IoT with artificial intelligence
 

PREDICTION

 
  • Anticipation of solutions
  • Advanced Cyber Threat Intelligence
  • Cross-functional and context-independent analysis
  • Ability to customise sandboxes

 

AI already intervenes cross-functionally on our solutions through

  • Improved static analysis
  • Improved dynamic analysis
  • Improved detection of advanced persistent threats (APT)
  • Improved detection of weak signals
  • Improved categorisation of security events

Thanks to the skills of a multi-faceted team (researchers, experts, data scientists, AI architects) combined with significant technical capacities, we areat the forefront of innovation and the implementation of use cases in the field of AI.

To meet the technological and human limits encountered by systems cyber security, AI technologies are involved in all our areas: 

  • Restructure processes and save time for experts
  • Enable cross-functional action
  • Embedded intelligence (edge computing)

Contact us for more information.