Certihash Joins Forces With IBM to Develop Enterprise Suite of Blockchain Info
Certihash on Thursday April 28 announced a new project to develop “Sentinel Node”, the first of a suite of five blockchain-empowered enterprise utility applications, based on the National Institute of Standards and Technology (NIST) cybersecurity framework.
IBM Consulting will be assisting with the software design and development. Certihash has been working on the project for close to two years and plans a release within the next six months.
Cyber attacks continue to increase globally in frequency and impact, challenging operations, customer service, reputation, regulatory compliance, and financial stability.
“Over the last decade, technology has struggled to effectively prevent and consistently detect cybersecurity breaches. ‘Sentinel Node’, which is the first of five planned Certihash releases, represents our innovative solution for real-time detection of network anomalies and events. Cybersecurity is no longer about prevention alone, it is about detection at the earliest possible moment,” said Bryan Daugherty, co-creator of Certihash.
“As the time to identify network breaches lengthen and cyber-attacks continue to occur in greater intensity and frequency, fresh solutions are required to replace the lack of confidentiality, integrity and availability in our networks and data. Sentinel Node will provide an entirely new level of cyber threat detection and alerting,” Daugherty continued.
IBM’s know-how in developing enterprise blockchain infrastructure at scale will be critical in the design and implementation of Certihash Sentinel Node.
Blockchain technology can solve the current challenges in identifying a data breech. Capabilities of blockchain are extensive and include transparency, immutablity and decentralization of data, chronological registration and time stamping of records, all of which allow for building a secure and robust infrastructure that can lead to faster breach detection and response.
- Aaron Goldstein, Gambling911.com
