Skyhigh Security’s Approach to a Robust DLP Solution Across SSE

By Kelly Elliott - Director of Product Marketing

January 11, 2024 5 Minute Read

In the ever-evolving landscape of digital security, staying ahead of the curve is not an option—it’s a necessity. As we navigate an increased use of cloud apps, a hybrid workforce, and disruptor technologies, such as Generative AI, the protection of sensitive data has become a paramount concern for businesses and individuals alike. Data Loss Prevention (DLP) is the crucial pillar in safeguarding sensitive information. The recently released 2023 Gartner® Market Guide for Data Loss Prevention (DLP) sheds light on the shifting dynamics of the ever-changing DLP market, emphasizing the need for comprehensive solutions that transcend traditional measures to support use of digital assets in the cloud. We believe being included as a Representative DLP Vendor further underscores Skyhigh Security’s prowess in the field, signaling a significant stride towards a more robust and adaptive approach to data protection.

Understanding the Market Landscape

The 2023 Gartner® Market Guide for DLP reveals a mature DLP technology landscape but emphasizes the need for solutions that extend beyond conventional measures. According to Gartner, “Security and risk management leaders should focus on risk-based adaptive data protection techniques to strengthen the data security of their organization.” Further, the report also states that “Data loss prevention (DLP) projects that are not tied to specific initiatives or goals often indicate an immature data security governance program. This results in inconsistent use cases and requirements, which makes the process of selecting DLP technology difficult and projects less likely to succeed.”

Market Direction: Evolving Beyond Traditional DLP

The Market Guide’s market direction points towards overcoming the limitations of traditional approaches, which can result in a higher amount of false positives. To do so, from our perspective, the Market Guide recommends prioritizing the following capabilities:

1. Align the DLP solution to a broader platform of products to obtain comprehensive visibility to the data usage across the organization. Skyhigh Security’s approach to DLP in the cloud exceeds this requirement. Skyhigh seamlessly integrates DLP into its industry-leading SSE solution, enabling the modern workforce and protecting data across the web, cloud, private apps, endpoints, and email from managed and unmanaged devices. Skyhigh SSE performs real-time data and threat protection at every control point to reduce the cost of security and simplify management—all from a single converged platform.
2. Use an adaptive risk-based approach to DLP (see Figure 1), wherein user activities, communication patterns, and contextual information are analyzed to detect deviations from normal behavior. Skyhigh Security aligns seamlessly with this trajectory by providing unified DLP through convergence with its platform, which enhances the detection of data exfiltration by incorporating anomalous user behaviors, improved risk scoring, and real-time monitoring capabilities.



3. Focus on the importance of cloud-native DLP solutions, particularly for organizations adopting a cloud-first strategy. Skyhigh Security embraces this approach, offering cloud-native capabilities to enhance data security within its platform. Skyhigh’s DLP solution protects data at rest, data in use and data in motion, from any device, anywhere, while being managed from a single, unified console.
4. Additionally, the use of accurate data classifications is highlighted as a foundational component of a successful DLP and compliance program. Skyhigh uniquely streamlines DLP implementation by sharing data classifications and DLP engines across all data exfiltration vectors and SSE components: Secure Web Gateway (SWG), Cloud Access Security Broker (CASB), Zero Trust Network Access (ZTNA), and Remote Browser Isolation (RBI). Advanced DLP detection capabilities, using EDM, IDM, OCR, and our industry-first AI RegEx Generator, define custom patterns for identifying structured and unstructured sensitive data with a high degree of precision.

Why Skyhigh Security Stands Out

Protecting data in motion and at rest with the right cloud Data Loss Prevention (DLP) approach is essential when considering an SSE solution to secure the cloud environment. It is important to prioritize DLP capabilities with consistent, unified data protection and the same corporate policies across all devices and SSE components.

Skyhigh Security provides full-scope multi-vector data protection (see Figure 2), for data at rest, data in motion, and data in use to support the modern workforce while eliminating data visibility gaps. Our multi-layered approach to security gives organizations advanced protection for their sensitive and business-critical data.

Conclusion: Elevating Data Protection Standards with Skyhigh Security

As organizations navigate the complexities of data security and disruptor technologies like Generative AI applications, advanced DLP technology is a must-have for a truly robust SSE solution. In a market saturated with traditional DLP solutions, Skyhigh Security addresses this gap by seamlessly integrating cloud-native security that provides enhanced visibility and control over data in the cloud from a unified console.

Skyhigh Security’s market-leading SSE portfolio is both data-aware and simple to use. Our focus is on helping customers secure the world’s data by providing a comprehensive and adaptive solution that goes beyond conventional DLP measures.

The sky is no longer the limit—Skyhigh Security propels organizations toward a secure digital future.

Download the 2023 Gartner® Market Guide for DLP Report to understand why Gartner recommends that security and risk management leaders “should focus on risk-based adaptive data protection techniques to strengthen the data security of their organization.”

Visit Skyhigh SSE to learn how we deliver on the recommendations and key findings that are shared in the report.

Disclaimer: Gartner Market Guide for Data Loss Prevention 2023, Ravisha Chugh, Andrew Bales, 4 September 2023.

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