DLP Readiness
Stratascale DLP Readiness Assessment
Stratascale’s Data Loss Prevention (DLP) security assessment service aligns with best practices used by the National Institute of Standards and Technology (NIST). A unique understanding of DLP–focused NIST best practices and the importance of DLP to your overall cybersecurity strategy allows our experts to help you develop and adopt a framework that can prevent data breaches and exfiltration.
As you accelerate the transition of workloads to the cloud with digital transformation efforts, your level of visibility and control over your data can wane, making it more difficult to secure. As the appetite for data analytics and data science increases, the potential for data breaches and compromised intellectual property rises exponentially. Your data must be current, available, and consistent across your organization. Having a concrete data loss prevention (DLP) strategy in place is one of the most effective methods for detecting risks to business-critical data.
The market is overrun with technology suites and tools available to help ensure data protection, but an investment in technology alone is not enough. You need a DLP strategy that details what, how, and from whom data needs to be safeguarded.
Our structured approach to DLP readiness can assist you in effectively securing your data against loss, corruption, or theft.
Discover
We identify and classify the following three data types via tool-based data gathering, customer interviews, and documentation review: Data at rest (unstructured data, backups, etc.), data in transit (network, web, email, etc.), and endpoint (mobile, workloads, etc.).
Assess
To pinpoint gaps between newly discovered and previously identified assets, we review DLP policies (low- and high-level designs) and analyze differences between NIST–best practice frameworks and your existing deployment.
Deliver
Our cybersecurity experts produce an executive summary of the most critical findings using the highest contextual impact gap analysis, create a technical overview of all findings organized by importance and business impact, recommend remediation procedures, and prioritize roadmaps.
