- Datadobi received its SOC 2 Type I attestation from KPMG, covering its software engineering, quality assurance, security, operations, and support processes.
- The attestation confirms that Datadobi’s internal controls and processes continue to meet the highest standards for the integrity, security, and confidentiality of customer data.
- Carl D’Halluin, CTO of Datadobi, emphasized that trust must be earned through operational integrity, stating, "Customers trust Datadobi with their most valuable data, and that trust has to be earned in how we operate as a company, not just in what our software does."
- Mbense, a QA specialist, highlighted the misconception that quality assurance is optional, stating it is crucial for meeting client expectations and understanding software behavior under unexpected conditions.
- The SOC 2 framework, developed by the American Institute of Certified Public Accountants (AICPA), is widely recognized for assessing how service organizations protect customer data.
- The SOC 2 Type I report reaffirms Datadobi’s commitment to data integrity, security, and software quality, providing confidence that data is handled under rigorous, independently audited controls.
Datadobi has secured its SOC 2 Type I attestation from KPMG, validating its rigorous software engineering and security processes. This attestation underscores the company's commitment to maintaining high standards for data integrity and security, essential for organizations managing sensitive information, especially as they prepare data for AI applications.156
The SOC 2 Type I report confirms that Datadobi's internal controls meet the highest standards for the integrity, security, and confidentiality of customer data. “Renewing our SOC 2 Type I attestation independently validates the engineering discipline, quality controls, and security processes behind every Datadobi release,” stated D'Halluin. “Plenty of vendors talk about security; far fewer can show independent proof of it.”2
Datadobi employs a defensive engineering methodology throughout its software development lifecycle, ensuring that all code changes undergo peer review and extensive automated testing. “A root cause analysis then determines whether any process, test, or architectural change is needed,” ensuring continuous improvement in software quality.
The company also emphasizes the importance of quality assurance (QA), which operates independently of development to verify the quality of every release. “QA is not just about finding bugs; it’s about ensuring the client’s expectations are met,” explained a QA expert. This approach is crucial for maintaining customer trust and delivering reliable software solutions.34
As organizations increasingly rely on data for AI, Datadobi's commitment to security and quality assurance positions it as a trusted partner in the industry.
“The attestation, developed by AICPA, confirms internal controls meet high standards for integrity, security, and confidentiality of customer data. As unstructured data grows for AI, independent proof of data handling integrity becomes a differentiator, per CTO Carl D’Halluin.”
ITWeb
