Forescout brings the first platform for automated security

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Mumbai: Forescout Technologies, a provider of automated cybersecurity has launched the Forescout Continuum Platform. The company claims the new platform is the industry’s first automated cybersecurity platform that continuously manages the risk posture of assets across an enterprise’s digital terrain, providing complete coverage of IT, OT, IoT and IoMT devices.

Modern enterprises in all industries – from healthcare and government to manufacturing, financial services, transportation, and agriculture – are experiencing a constantly fluctuating environment.

As industries undergo major changes and transformations including device lifecycle, applications, people, device decay, software failures and acquisitions cause misalignment within a security framework of an organisation’ causing gaps in security risk posture.

“Organisations are dealing with a new level of complexity amidst rapid growth in cyber assets and increased cybersecurity threats and attacks,” said Wael Mohamed, CEO of Forescout.

“Forescout’s Continuum Platform is a powerhouse solution. In addition to automating cybersecurity actions, Forescout is the only solution that delivers visibility and automation across all types of assets – IT, OT, IoT, IoMT – which collectively represent the digital terrain of your organisation,” added Mohamed.

Forescout’s new Continuum platform is a cloud-based system offering data-powered insights to decrease total cost-of-ownership while further accelerating real-time, continuous security automation.

Forescout’s Continuum Platform adds new features that enable organisations to:

  • Incorporate multifactor, real-time risk analysis into automated governance actions, including dynamic network segmentation and access control decision-making leveraging individual asset criticality and risk scoring;
  • Gain complete visibility and governance of cyber assets in a work-from-anywhere model to extend discovery, assessment and governance of assets everywhere,
  • Leverage artificial intelligence and machine learning to further enhance the automated classification of assets; 
  • Collect highly distributed data by running sensors in local hardware and network infrastructure; and
  • Drive down administration costs through cloud-based user interfaces and easy-to-use programming interfaces for large-scale administrative tasks.

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