Your DLP Solution For Data Leaks

Published: February 2022. Updated: August 2026. Reviewed by Encryption Consulting’s Data Protection advisory team.

What Is a DLP Solution?

A Data Loss Prevention (DLP) solution is a set of tools and processes used to detect and prevent unwanted destruction, unauthorized access, and exfiltration of sensitive data. Organizations deploy DLP to protect sensitive data and to comply with regulations such as HIPAA, GDPR, and PCI DSS. DLP solutions use classification rules to identify sensitive data and then enforce policy so that users cannot accidentally or maliciously move that data outside approved boundaries. Coverage spans three data states: data-at-rest (stored on a server, endpoint, or cloud repository), data-in-motion (moving across a network or through email), and data-in-use (actively open in an application).

This article focuses on evaluating and choosing a DLP solution across its different forms. For the business case, ROI framing, and the discovery-to-incident-response operating model, see our companion article, What, When and How of Data Loss Prevention.

Why Does Data Leak in the First Place?

Data leaks happen for three distinct reasons, and a DLP solution needs to address all three or it leaves a gap. According to IBM’s 2025 Cost of a Data Breach Report, the global average cost of a data breach was $4.44 million, a 9 percent decline from $4.88 million the year before, the first drop in five years, while breaches in the United States averaged $10.22 million, a record high for that region. Organizations that detected a breach internally saved roughly $900,000 on average compared to those where an attacker or third party disclosed it first, which is exactly the kind of early detection a working DLP solution is built to provide.

1. Data exfiltration by cybercriminals. Cybercriminals target sensitive data using phishing, malware, social engineering, and injection attacks to gain access to an organization’s sensitive data and exfiltrate it.
2. Unintentional data exposure. Some data leaks happen due to human error. An employee might misconfigure access to sensitive data in the cloud or expose secrets in a code repository.
3. Malicious insiders. A disgruntled employee might use compromised or legitimately held privileged access to exfiltrate sensitive data outside the organization.

Main Use Cases for a DLP Solution

A DLP solution earns its budget line across three recurring use cases.

1. Compliance. Organizations that collect and store personally identifiable information (PII), payment card information, or protected health information (PHI) need to adhere to regulations such as GDPR, HIPAA, and PCI DSS. A DLP solution helps meet these regulations by identifying, classifying, and monitoring sensitive data.
2. Intellectual property protection. A DLP solution helps an organization classify its intellectual property and protect against unauthorized access to and exfiltration of trade secrets, source code, and product designs.
3. Data visibility. A DLP solution tracks data-at-rest and data-in-motion across endpoints, networks, and cloud services, giving security teams visibility into what sensitive data actually exists and where it actually lives.

Types of DLP Solutions and How to Choose Between Them

There are multiple paths sensitive data can take out of an organization, so a DLP solution needs to cover the paths that actually apply to your environment. The table below maps each DLP type to what it protects and where it falls short on its own.

DLP Type	What It Protects	Where It Falls Short Alone
Endpoint DLP	Data on laptops, servers, smartphones, and printers, including when the device is offline or on a public network; can block transfers to USB devices	Higher management overhead across every device in the fleet
Network DLP	Data-in-transit across the corporate network; policy applies to any device connected to it	No visibility once a device or the data leaves the network
Email DLP	Outbound email content, filtering on keywords and data patterns	Does not cover data leaving through cloud sync, USB, or endpoint channels
Cloud DLP	Data stored in cloud platforms, including documents, email, and file storage	Depends on API-level integration with each cloud service in use

Most organizations with meaningful compliance or intellectual property exposure end up running endpoint, network, and cloud DLP together, since each closes a gap the others leave open, rather than treating the choice as picking exactly one.

Enterprise Decision Table: Which DLP Approach Fits Your Situation?

Scenario	Recommended Starting Point
Mostly office-based workforce, data stays on managed devices and the corporate network	Network DLP first, endpoint DLP for high-risk roles (finance, engineering, executives)
Remote or hybrid workforce with cloud collaboration tools	Cloud DLP first, paired with endpoint DLP for offline device coverage
Regulated data (PHI, payment card data) processed by a small number of systems	Targeted DLP on those systems plus email DLP, rather than an organization-wide rollout
Intellectual property (source code, designs) is the primary asset at risk	Endpoint DLP with developer-tool integration, plus egress monitoring on code-sharing and personal cloud destinations
Multiple compliance regimes (GDPR, HIPAA, PCI DSS) apply simultaneously	Centralized DLP program with a shared classification taxonomy, rather than separate point tools per regulation

DLP Best Practices for Deployment

An effective DLP program follows a defined sequence rather than deploying a tool and writing policy afterward.

• Determine the primary data protection objective first, since it determines which DLP type and vendor fit the organization.
• Implement a centralized DLP program and work with different business units to define consistent policies that govern the organization’s data, increasing visibility across the environment rather than fragmenting it by department.
• Conduct a data assessment to identify what data exists, whether it is sensitive, where it is stored, and its exit points, then evaluate the risk to the organization if each type leaks.
• Create a data classification system for both structured and unstructured data, covering categories such as internal, confidential, public, PII, and intellectual property.
• Create data handling and remediation policies for each classification tier. Most DLP platforms ship with pre-configured rule sets for GDPR, HIPAA, and similar regulations, but these need customization to match how the organization actually uses data.
• Educate employees to reduce accidental data loss. Employee awareness of security policy is one of the strongest predictors of a successful DLP program, since a large share of leaks are unintentional rather than malicious.

Limitations

• No single DLP type covers every exfiltration path; endpoint, network, email, and cloud DLP each have a blind spot the others cover, so partial coverage creates a false sense of protection.
• A DLP solution is only as good as its classification accuracy; unclassified or misclassified data cannot be reliably protected regardless of how well the enforcement engine works.
• DLP reduces but does not eliminate insider risk; a privileged, motivated insider with legitimate access can still find gaps, which is why DLP should be paired with least-privilege access controls rather than treated as a complete answer.

What Would Encryption Consulting Recommend?

Choose the DLP type by data path, not by vendor marketing. The organizations that get the best return from a DLP solution start by mapping where their sensitive data actually travels, endpoints, network, email, or cloud, and then select the DLP coverage that matches those specific paths, layering in additional types only as new gaps are confirmed. Encryption Consulting’s Data Protection Advisory engagements begin with that data-path mapping before recommending a DLP architecture, so the resulting deployment matches the organization’s actual data flow rather than a generic reference architecture.

Conclusion

Organizations need to protect sensitive data-at-rest, in-transit, and in-use, across every device and network path data actually takes. A robust DLP solution, built on accurate classification and matched to the organization’s real data-exit points, is what makes that protection consistent rather than incidental. Encryption Consulting is a customer-focused cybersecurity consulting firm that helps organizations select, implement, and manage DLP solutions in their environments. To see how we can help your organization, visit www.encryptionconsulting.com.

Frequently Asked Questions

Do I need endpoint, network, and cloud DLP, or just one? Most organizations with meaningful compliance or IP exposure need more than one, since each type covers a different data path and none covers all of them on its own.

What is the difference between DLP and encryption? Encryption protects data’s confidentiality if it is intercepted or stolen. DLP is the control that detects and blocks unauthorized movement of sensitive data before it leaves. The two work together rather than replacing each other.

Which regulations typically require a DLP solution? GDPR, HIPAA, and PCI DSS all require organizations to know where regulated data lives and control how it moves, which in practice requires DLP-equivalent capability even though the regulations do not name the term directly.

What should come first: buying a DLP tool or building a classification system? Classification. A DLP tool deployed before data classification and policy design typically requires a costly redo, since the tool cannot enforce rules for data it cannot correctly identify.

Can a small or mid-sized organization afford a DLP solution? Yes. Cloud-delivered DLP has lowered the entry cost significantly, and the exposure per record for a smaller organization handling payment or health data is comparable to that of a larger enterprise.

References

• IBM Cost of a Data Breach Report 2025: https://www.ibm.com/think/x-force/2025-cost-of-a-data-breach-navigating-ai
• Microsoft Purview Data Loss Prevention documentation: https://learn.microsoft.com/en-us/purview/dlp-learn-about-dlp