"There is a growing emphasis on database compliance today due to the stricter enforcement of compliance rules and regulations to safeguard user privacy. For example, GDPR fines can reach £17.5 million or 4% of annual global turnover (the higher of the two applies). Besides the direct monetary implications, companies also need to prioritize compliance to protect their brand reputation and achieve growth."
"Continuous Database Compliance Automation allows you to smoothly implement compliance and security measures into your DevOps delivery pipeline. Through advanced automation, CCA continuously runs checks of all changes and commitments against security standards. CCA brings a number of benefits and is considered a best practice for the software development process. Compliance automation reduces costs of non-compliance that, according to the research by Globalscale Technologies, significantly exceed the costs of CCA."
"The research states that the average compliance cost lies between $0.58 and $21.56 million, whereas the non-compliance expenses add up to $2.20 - $39.22 million. Manual labor reduction, when it comes to complying with regulations together with increasing consistency, leads to a noticeable drop in expenses. Besides keeping expenses within the predetermined budget, businesses can also minimize costly human errors with CCA. Manual compliance procedures tend to cause errors during data collection, transfer, and analysis."
Stricter enforcement of regulations like GDPR imposes fines up to £17.5 million or 4% of annual global turnover, requiring prioritization of user privacy, reputation, and growth. Manual compliance processes involving audits, role monitoring, and policy enforcement struggle in dynamic DevOps pipelines with many distributed stakeholders and are prone to human errors. Continuous Database Compliance Automation integrates compliance and security checks into DevOps delivery pipelines, continuously validating changes against standards. Automation reduces non-compliance costs, lowers manual labor, minimizes errors in data collection and transfer, and increases consistency, accuracy, and precision while keeping expenses within budget.
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