It is crucial to keep your final aim in mind when evaluating data security options. What is the most accurate technique to foresee how your team will utilize the product in 365 days so that you can convey the value it will offer?
Examining operational bottlenecks is one strategy. For instance, if your company sends database audit logs straight to your SIEM, your team is likely to receive a lot of warnings that aren’t relevant to database security. This hinders decision-making and slows down the research.
Examining the financial impact is another strategy. For example, raw database logs frequently result in high storage, telemetry, and SIEM license fees. An effective technique to explain the benefits of the new strategy is to keep track of these costs for a full year and compare them to the anticipated savings.
A data security solution must make detection, visibility, and remediation easier. This may go without saying, but if the definition of data security is the process of preserving business data and preventing data information loss. Anything less leaves holes and raises risk. Coverage must be comprehensive across all DBMS and deployment options.
Data complexity and volume are always increasing. To provide security incident responders with appropriate context, data security requires a certain knowledge base. The who, where, and why of an access event are just as important as the what and when. Security teams will either ignore the incident or be required to manually provide context if there is no explanation of why. This increases risk and is inefficient from an operational standpoint.
Your organization’s threat lifecycle management strategy should include the threat context around incidents like database audit tampering, privilege escalation, and suspicious database command execution because it helps your incident response teams quickly assess the urgency and risk.
Improved employee satisfaction and elevated visibility
The fundamental success of a security program is guaranteed by people and procedures, not by technology.
While some may believe that technology eliminates the need for cybersecurity workers, others believe that while technology is important for protection, detection, automation, etc., people are still needed to make decisions about security that have an impact on the organization. Repurposing workers is made possible by effective data security solutions, allowing employees to concentrate on crucial tasks that are outside the scope of machine learning algorithms. This task is typically more fascinating, which enhances staff engagement and retention (coincidentally).
Staff refocusing is demonstrated via reporting. The creation of data security reports is typical for compliance audits, but it is tedious and time-consuming. The state of the security program is improved through data security solutions that automate and streamline reporting operations.
An improved employee experience goes hand in hand with visibility enhancements. Data related to credentials is involved in breaches in 61% of cases, according to Verizon’s 2021 Data Breach Investigations Report (DBIR). What might otherwise be time-consuming and challenging is made simpler by data security tools that boost visibility into suspect database activities. This depth is not provided by conventional endpoint, cloud, and network security technologies.
Through alarm noise reduction, database-specific event enrichment, bi-directional interface with SIEMs, pre-built and customized playbooks, interactive reporting, and other methods, good data security technologies lower risk and boost staff productivity.