Why Zscaler Data Loss Prevention Should Be a Priority for Your Business
As data breaches continue to rise, it’s becoming more important for businesses to implement data loss prevention (DLP) solutions to protect their sensitive information. Zscaler, a cloud-based security platform, offers a unique approach to DLP that sets it apart from its competitors.
Introduction
Many businesses today run on large amounts of data, from HR and financial records to customer data and intellectual property. Protecting this data from being leaked or stolen is a top priority for companies of all sizes. However, traditional DLP solutions can be difficult to manage, costly, and often require complex setups. Enter Zscaler.
What is Zscaler?
Zscaler is a cloud-based security platform that offers a range of security services, including DLP. Unlike traditional DLP solutions, Zscaler’s DLP is cloud-native, meaning it’s designed specifically for cloud-based environments, where more and more data is being stored and accessed. This makes it a more seamless and efficient solution for businesses that operate in the cloud.
How does Zscaler DLP work?
Zscaler DLP uses advanced machine learning algorithms to scan, detect, and classify sensitive data, such as credit card numbers and social security numbers, across different types of data sources. This includes data in transit, at rest, and in use. Once sensitive data is identified, Zscaler DLP can either block or encrypt the data to prevent unauthorized access.
What are the benefits of Zscaler DLP?
One of the biggest benefits of Zscaler DLP is that it can be deployed quickly and easily without requiring any additional hardware or software. Its cloud-based architecture means that it can be scaled up or down as needed, making it a more flexible solution than traditional DLP. Additionally, Zscaler DLP is more accurate than other solutions because it uses machine learning to identify and classify sensitive data.
Use Cases and Real-World Examples of Zscaler DLP
Zscaler DLP has a range of use cases, from monitoring sensitive data in emails and cloud applications to detecting and blocking data exfiltration attempts. One real-world example of Zscaler DLP in action is with a large healthcare provider that was able to use Zscaler to classify and protect sensitive patient data in real-time, drastically reducing the risk of data breaches.
Conclusion
As businesses continue to move data to the cloud, the need for cloud-native security solutions is becoming increasingly important. Zscaler DLP offers a flexible, efficient, and accurate solution that can help businesses protect their sensitive data without burdening IT teams with complex setups and configurations. Investing in Zscaler DLP should be a top priority for any business looking to protect its sensitive information from unauthorized access.
