Jun 22, 2018   |  

Jazz Networks Applies Machine Learning to Stop Malicious Insiders

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Next DLP Security published this press release under its former name, Jazz Networks.

San Francisco, April 16, 2018—Jazz Networks launches a breakthrough machine learning algorithm that takes a lesson from everyone within an organization before identifying and stopping even the most trusted team member from stealing data or harming the network.

Today Jazz Networks launched its security software. Jazz Networks is the first in the cybersecurity industry to combine machine learning from very large and diverse datasets with verification and learnings from the individual employee.

“Only by mobilizing learnings from the whole organization, will you be able to identify people who sadly are out to harm you. 69% of all data breaches are performed by people from
inside your organization.

We wanted to meet the new, modern organizations with an adaptable and flexible software solution.”

Hani Mustafa, CEO of Jazz Networks

Product highlights:

  • A Cyber Passport is issued to each individual employee and server, quickly identifying top threat actors in an organization.
  • Machine learning applied to a large and diverse dataset on both the endpoint and datacenter side increases the likelihood to detect unusual behavior and take informed actions.
  • Real-time action, i.e. the ability to stop a suspicious process or connection on the fly, is now possible. Action can be taken directly by an administrator or automatically by prompting employees to verify requests if deemed unusual, similar to consumer two-factor verification.
    By using the Jazz Platform the role of the security professional change, as they save time getting fewer false alerts, more time can be spent fighting real threats.

See how Next DLP protects your employees and prevents data loss