Automatically discover data integrity breaches and quickly recover from ransomware and cyber attacks
Ransomware attacks are on the rise, using increasingly sophisticated methods, targeting critical apps and databases where downtime is most costly. Organisations need data observability and immutability to automatically discover and quickly recover from data breaches.
Watch to discover how to:
Accelerate troubleshooting of production issues
Protect against accidental database deletion or corruption
Recover faster from malware/ransomware or malicious intent
Find out how to build a cyber resiliency test zone, allowing for earlier detection of data integrity breaches. Also, discover the value of an immutable data time-machine for enabling data refreshes from a point just prior to an attack for faster recovery from cyber and ransomware attacks.
Scott has over 24 years of experience in data management & protection, working collaboratively with clients to find solutions to their complex data problems, helping to drive business value for accelerated app dev & digital transformation. Scott's experience has been built working for leading resellers, start-ups and corporates alongside teams in some of the UK & Europe's largest enterprises and financial institutions.
Chay has +25 years of experience as a technical creative leader with expertise in providing innovative data solutions to address application data bottlenecks. He worked at IBM for 11 years, and then for a number of leading investment banks. He managed the Data Services team at Fidelity International, focusing on the availability of Production data, when he discovered Delphix. He wrote the business case, gained approval and managed the implementation of Delphix at Fidelity. The Delphix Data Platform has developed into an intelligent solution enabling digital transformation, and now Chay manages the Solutions Engineering team at Delphix. Having been a customer he has a great view of how companies can help accelerate application development whilst removing data bottlenecks.