In a typical organization, security teams are often overwhelmed with cloud misconfiguration alerts. These alerts may come from different environments, such as SaaS or hybrid multi-clouds, and may include exposed S3 buckets and overly permissive entitlements, to name a few.
Organizations expect their cybersecurity teams to resolve these alerts promptly, as studies report that 15% of successful data breaches begin with misconfigurations. However, a major challenge arises: a sea of false positives. Mitigating false-positive alert noise is both resource-draining and time-consuming.
In fact, it delays remediation, as teams often focus on low-severity alerts rather than critical ones due to a lack of data context. This creates significant security risks, like sensitive data exposure or unauthorized access. False positive alerts also lead to operational inefficiencies.
Cloud Security Posture Management (CSPM) tools, though effective against infrastructure misconfiguration risks, often fall short when dealing with data risks. The primary reason is the lack of visibility of sensitive data.
Without a clear understanding of sensitive data and risks, teams fail to assess risks and remediate effectively and accurately. Here, an integrated DSPM plays an efficient role. The tool enables organizations to detect and prioritize risks based on sensitive data context. It scans and monitors the posture and assesses configuration settings to detect misconfigurations, allowing organizations to focus their efforts on the most critical data risks first.
Since it is not restricted to point-in-time evaluation, DSPM’s continuous assessment capability helps security teams detect newly added assets or any configuration changes that put sensitive data at risk. This continuous and persistent awareness of the posture empowers security teams to strengthen the security posture of their data environment and prevent data breaches proactively.
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