Why Audit - Can you afford to lose both revenue and brand credibility?

Financial Directors and IT Directors

It seems that every day there’s a new regulation, and I have to keep up with it! In this increasing regulatory environment with Sarbanes-Oxley, MIFID etc. my executives have to contend with both the inherent risks associated with data as a critical corporate asset, and with compliance requirements. These regulations bring personal accountability to my door; the buck stops with me. How can I possibly keep up to date and do my job, and ensure our systems are compliant, all day every day.

The Cervello Solution - Automate database auditing with Cervello Audit DB

Executive management in concert with external and internal auditors is demanding that their IT organizations help mitigate the risk associated with regulatory compliance and data use. For example, internal and external auditors demand tighter controls, including tracking internal use of sensitive data, and ensuring that DBAs are adhering to internal policies. Why is this important? Because the biggest threat to your data is human error - by internal users. And because most fraud, unauthorized access and digital attacks are committed by internal users. Even the best security programs and policies won't protect against these threats that occur inside your firewall.

Database auditing helps mitigate the significant business risks associated with requirements for regulatory compliance and the use of corporate data assets, including fraud, failed audits, lost customers, and loss of brand/reputation. Audit DB, an enterprise data auditing solution, mitigates these risks by providing a comprehensive audit trail of critical data activity including data access, data changes, data viewing (who's looking at what data) and changes to database structure. Database auditing augments current security measures by focusing on activity inside the firewall, where the majority of data misuse, intentional or otherwise, occurs. Database auditing provides assurance that data is used only in appropriate ways, in order to meet regulatory compliance requirements, and for data management best practices.