Data is the lifeblood of an enterprise company. Companies store, process, and move vast amounts of PII data, from sensitive customer information to intellectual property. So they must protect it from a range of threats, both external and internal.
Older Data Loss Prevention (DLP) approaches are “Outside/In”. They often focus on perimeter-based security measures. But data breaches continue to make headlines, so a more complete and proactive “Inside/Out” plan is clearly needed. In this blog post, we explore why enterprise companies should enhance their Data Loss Prevention (DLP) processes with a data-centric protection approach.
The Evolving Threat Landscape
First, consider the evolving threat landscape companies face today. Cybercriminals are becoming more advanced, and the number of data breaches continues to rise. Older DLP solutions often rely on rule-based or signature-based detection methods. As a result, they can struggle to adapt to new and emerging threats. A data-centric approach, on the other hand, focuses on the data itself. So companies protect their information regardless of the attack vector, the method a malicious actor uses, or a simple internal mistake that puts data at risk.
Comprehensive Coverage
An inside/out approach focuses your company on complete coverage. It addresses data at every stage of its lifecycle. Also, it encompasses data discovery, classification, encryption, access controls, and monitoring. By covering the entire data lifecycle, companies ensure that sensitive data stays protected at all times, whether it is at rest, in transit, or in use.
Regulatory Compliance
Enterprise companies handle sensitive data subject to many regulations. GDPR, HIPAA, CCPA and PCI all apply, and many more besides, depending on industry and geographic location. Non-compliance with these regulations can result in severe financial penalties, damage a company’s reputation, and cause revenue loss. But a data-centric approach to DLP lets companies apply granular controls and encryption. That ensures compliance and reduces the risk of costly fines or legal repercussions.
Insider Threat Mitigation
Insider threats, whether intentional or unintentional, pose a major risk to enterprise data security. Older DLP solutions struggle to find and mitigate these threats effectively. Instead, a data-centric approach monitors user behavior and data access patterns. So companies detect and respond to suspicious activities in real time. This proactive approach is crucial for protecting against insider threats.
Cloud Adoption and Remote Work
The modern enterprise landscape has shifted towards cloud adoption and remote work. As a result, older perimeter-based security measures are less effective. Data-centric data protection secures your data regardless of its location or how someone accesses it. This flexibility is essential for companies that support remote workforces and use cloud-based solutions.
Data-Centric Threat Intelligence
A data-centric approach to DLP uses threat intelligence centered on the data itself. This means companies can analyze data usage patterns, find anomalies, and proactively respond to potential threats. Because they understand how people access and use data, companies make informed decisions about data protection and adjust their security measures.
Enhanced Incident Response
In the event of a data breach or security incident, a data-centric approach gives companies valuable insights into the nature and scope of the breach. This is a crucial, and often missed, step in an effective incident response plan. It helps companies contain the breach, mitigate the impact, and prevent similar outcomes in the future. Also, when a future breach occurs and a data-centric approach is already in place, the data is unusable because the company protected it in advance.
Scalability and Futureproofing
As companies grow and data volumes increase, scalability becomes a critical factor in data protection. The data-centric approach we have discussed scales as a company’s needs change. So it adapts more easily to changing circumstances. It also puts proactive protection in place against emerging threats and technologies.
In today’s data-driven world, enterprise companies cannot afford to rely solely on older Data Loss Prevention (DLP) approaches. A data-centric approach gives a more complete, adaptable, and proactive way to safeguard sensitive data. It also enhances an enterprise company’s data security posture. By focusing on the data itself, you can ensure regulatory compliance, effectively protect assets, mitigate insider threats, and adapt to the evolving threat landscape. As the digital landscape continues to evolve, embracing a data-centric DLP approach is not just a best practice. It is a necessity for any company that values the security and privacy of its data.
Extending DLP Protection with PKWARE
PK Protect solves problems that result from uncontrolled encryption. It gives companies the visibility they need to fully address security, audit, and compliance requirements. Meanwhile it gives persistent protection for their data wherever someone uses, shares, or stores it. Learn more about PK Protect