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Centrify Joins Cloudera Led Open Network Insight (ONI) Project

Centrify Joins Cloudera Led Open Network Insight (ONI) Project Image Credit: Centrify

Centrify, a Santa Clara, California-based leader in securing enterprise identities against cyberthreats has joined the Open Network Insight (ONI) project. ONI is an open source, Apache 2.0 licensed cybersecurity project that leverages big data and machine learning to detect advanced threats.

ONI was launched in February this year by Cloudera and four other leading cybersecurity companies to deliver visibility into security threats by providing advanced threat detection using big data analytics. The addition of Centrify to the project will be extended to include identity. By extending ONI’s open data model into identity, Centrify is allowing users to centralize identity and account credential data, integrate it into cybersecurity applications that leverage ONI, and share related threat analytics and intelligence among industry peers.

According to Centrify, insights into how identities are being used are critical, as hijacked credentials have led to some of the largest compromises in history. Furthermore, the 2016 Verizon Data Breach Investigations Report (DBIR)1 states that stolen and misused credentials continue to play a major role in most data breaches. With Centrify, ONI will provide on-demand analytics needed to understand how user accounts and activities are impacting security and compliance across users’ environments.  

Tom Reilly, chief executive officer of Cloudera
By adding the ability to integrate information about user identities alongside of data about network traffic and endpoints, the project is fulfilling on its promise to support a broad range of cybersecurity data sources that can be used to identify advanced threats and cyberattacks.

Bill Mann, Chief Product Officer for Centrify
Our approach to cybersecurity needs a rethink, and ONI is an example of that.  Community-driven efforts will play a major role in the future of cybersecurity since this project is leveraging machine learning and big data analytics in ways that are addressing risk with speed, efficiency and accuracy.

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Author

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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