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DLP – Data Loss Prevention

DLP - Data Loss Prevention

Data loss prevention is a security solution that identifies and helps prevent unsafe or inappropriate sharing, transfer, or use of sensitive data. It can help your organization monitor and protect sensitive information across on-premises systems, cloud-based locations, and endpoint devices. It also helps you achieve compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR)

Why Your Business Requires DLP ?

In today’s situation where everyone alternates between working from home and working within the office, data breaches and other risks are more likely to happen. Large companies have more data to steal from, but smaller companies have less secure networks making them an easy target for cybercriminals.

There are multiple solutions your business can implement to protect data, but technology is only effective if the people in charge of monitoring and managing it is as good as your tools. Your solutions should complement your strategy regardless of the industry and size of your business.

What Types Of DLP ?

1. Network DLP

Tracks and analyzes the organization’s network activity and traffic across a traditional network and the cloud; this includes monitoring email, messaging, and file transfers to detect when business-critical data is being sent in violation of the organization’s information security policies

Establishes a database that records when sensitive or confidential data is accessed, who accesses it, and — if applicable — where the data moves on the network

Provides the infosec team with complete visibility into all data on the network, including data that is in use, in motion, or at rest.

2. Email DLP

1.Content Identification and Classification:

Keywords and Regular Expressions:DLP systems use predefined or custom keywords and regular expressions to identify sensitive data like credit card numbers, social security numbers, and PII (Personally Identifiable Information).

Data Fingerprinting:Advanced DLP solutions can “fingerprint” sensitive documents, even if they’re disguised within different file formats or images. This helps detect unauthorized data exfiltration attempts.

Content Classification:DLP can categorize emails based on their content, flagging those containing sensitive information for further scrutiny.

2. Policy Enforcement and Actions:

Redaction

DLP can automatically redact or mask sensitive information within emails to prevent unauthorized exposure.

Encryption

Sensitive emails can be encrypted before being sent, ensuring only authorized recipients can access the content.

Quarantine and Blocking

Suspicious emails can be quarantined for further investigation or even blocked from being sent altogether.

3. User Education and Awareness:

Policy Training

DLP solutions often come with training materials and programs to educate users about data security best practices and the importance of identifying and protecting sensitive information.

User Feedback and Reporting

Users can report suspicious emails or potential data leaks, helping the DLP system learn and adapt to new threats.

4.Integration and Scalability

Seamless Integration

DLP solutions should integrate seamlessly with existing email systems and workflows to minimize disruption for users.

Scalability

DLP systems need to be scalable to accommodate growing data volumes and user base without compromising performance or security.

5.Advanced Features

Threat Intelligence

Advanced DLP solutions integrate with threat intelligence feeds to stay updated on the latest data leakage methods and attacker tactics.

Machine Learning

DLP systems can leverage machine learning to identify new and emerging data leakage patterns, continuously improving their detection accuracy.

How Does DLP Work?

C Content Inspection

Content Inspection

Employ content inspection mechanisms to analyze and identify sensitive data within web traffic. This includes scrutinizing data for personally identifiable information (PII), financial data, intellectual property, and other confidential information.

P Policy Definition

Policy Definition

Define DLP policies that specify how sensitive data should be handled in web communications. Policies can include rules for blocking, encrypting, or alerting on the transmission of sensitive information.

W Web Proxy Integration

Web Proxy Integration

Integrate DLP capabilities with web proxies to inspect and control web traffic. This integration allows for real-time monitoring and enforcement of DLP policies as users access websites and web applications.

S SSL/TLS Inspection

SSL/TLS Inspection

Implement SSL/TLS inspection to decrypt and inspect encrypted web traffic. This ensures that sensitive data hidden within encrypted connections is still subject to DLP policies.

E Endpoint DLP Agents:

Endpoint DLP Agents:

Deploy endpoint DLP agents on user devices to extend DLP controls to web browsers and other applications. These agents monitor and control data transfers at the endpoint level.

U User Education and Awareness:

User Education and Awareness:

Educate users about the importance of handling sensitive data responsibly and train them on security best practices when using web applications. Users should be aware of potential risks and understand their role in data protection.

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