Title

AWS re:Invent 2022 - How to create a future-proof foundation for data protection (PRT048)

Summary

Liata Skennazi and Vijay Ramakrishnan from ON BACKUP discussed the importance of protecting critical SaaS data.
They highlighted the growth and complexity of SaaS data, emphasizing the shared responsibility model in data protection.
The speakers provided insights into the challenges of data recovery and security access control within SaaS applications.
OwnBackup's solutions for data protection, recovery, and security were showcased, including customer success stories from DeepWatch and Freedom Financial.
OwnBackup offers a suite of products: OwnBackup Secure, OwnBackup Recover, OwnBackup Archive, and a data seeding product for anonymizing test data.
The audience was invited to visit the OwnBackup booth for demos and further discussions.

The rapid growth of SaaS data (42% average growth among OwnBackup customers) and its increasing sensitivity (e.g., PII, PHI, financial data) necessitate robust data protection strategies.
The shared responsibility model in cloud services means that while SaaS providers ensure the availability of the network, hardware, and applications, customers are responsible for their data's security and compliance.
Data protection is not just about network and storage; application-level protection is critical due to the high percentage of attacks resulting from application misconfigurations (31%).
Many SaaS customers struggle with data recovery after incidents, with over 70% unable to fully recover their data, highlighting the need for effective backup and recovery tools.
Security access control within SaaS applications is complex and often misconfigured, leading to unauthorized access to sensitive data (84% of Salesforce users).
OwnBackup's solutions enable customers to innovate with SaaS applications while managing the associated risks, ensuring business continuity, compliance, and security.
The examples of DeepWatch and Freedom Financial illustrate how OwnBackup's products help organizations to monitor, restore, classify, and assess risks to their SaaS data, supporting ongoing innovation without compromising data integrity.