What do you do if your business is in need of reliable DLP products?

Clearly comprehend the needs of the business by evaluating the associated risk. In DLP, risk management is very important. DLP products cannot achieve optimal performance without evaluating risk levels. Evaluating the risk is the best way to build a DLP framework(identify critical data points). Make sure the borders are clear before playing on the ground.

- Be efficient. Your Endpoint Defense and Response (EDR) product may support enabling a DLP component. The fewer agents you need to manage and update the better. - Baby steps. Don't think you'll have a fully functional DLP blocking transmissions in the first couple of months. The platform needs to be tuned. Leverage reporting functionalities to determine what would have been blocked if you were to enforce the existing DLP policies. - Monitor / Tune / Enforce. Watch the platform for false positives/negatives and continue to tune your policies until you're confident they will function as intended. Switch to enforcement mode and monitor the environment closely, adjusting as needed.

It all starts with data classification often DLP solution tend to face implementation challenges when the basic data classification of data and its impact are not assess. This leads to poorely defined rules that often lead to many false positives generated.

ümumiyyətlə DLP qurmamışdan öncə təşkilatda məlumatların klassifikasiyası aparılmalıdır. Və Aparılmış klassifikasiyaya uyğun olaraq DLP üzərindən bu funksiyaları quraşdırmaq mümkün olar. DLP məlumat klassifikasiyasını faylların içəriyini analiz edərək nail olur. Artıq düzgün klassifikasiya aparılıbsa daha sonra DLP nin effektivliyindən danışa bilərik.

Begin by conducting a thorough assessment of your organization's data assets and potential risks associated with data loss or leakage. Identify the types of sensitive data you handle, where it resides, and how it is accessed and shared. Assess the potential impact of data breaches or leaks on your business operations, reputation, and compliance obligations. Understanding your data and risks will help you determine the specific requirements and priorities for selecting a reliable Data Loss Prevention (DLP) product.

the first thing I would take into account is a correct classification of information, otherwise it will be difficult to succeed with a DLP policy.

Based on your assessment, define clear goals and policies for your DLP strategy. Determine the objectives you want to achieve with your DLP solution, such as preventing data breaches, ensuring regulatory compliance, and protecting intellectual property. Establish policies governing the handling, storage, and transmission of sensitive data, including rules for data classification, encryption, and access control. Align your DLP goals and policies with your organization's overall security objectives and business requirements.

Determine what you want to achieve with DLP implementation. Establish clear policies regarding data handling, access controls, and monitoring.

During DLP deployment,it's crucial to establish clear goals and policies to guide its deployment and usage effectively. Begin by defining specific objectives for the DLP program, such as protecting sensitive data, preventing data breaches, and ensuring regulatory compliance. Next, develop comprehensive DLP policies that align with these goals and address key risk areas, including data encryption, access controls, data transfer monitoring, and incident response procedures. One useful technique for setting DLP goals and policies is 'Risk Assessment and Gap Analysis', which identifies potential threats, vulnerabilities, and compliance requirements, allowing organizations to tailor their DLP policies to address specific security needs.

Defining Data Loss Prevention (DLP) goals and policies is pivotal. These guidelines outline the rules and actions your DLP products enforce. Whether blocking, alerting, encrypting, or quarantining data, these decisions hinge on content, context, and destination. Tailoring policies for users, devices, or networks ensures precision. Aligning DLP goals and policies with business objectives and risk tolerance fosters clarity and consistency. This proactive approach strengthens data protection, enhancing organizational resilience and integrity.

Conduct thorough research on available DLP solutions in the market. Look for vendors that offer features aligned with your requirements, such as data discovery, classification, encryption, policy enforcement, monitoring, and incident response capabilities.

Integration capabilities are also essential for seamless deployment and operation within your existing IT infrastructure. Select a DLP solution that integrates effectively with your current security tools, including SIEM (Security Information and Event Management) systems, IAM (Identity and Access Management) solutions, and endpoint security platforms. Integration with cloud services and collaboration tools is becoming increasingly important for organizations adopting cloud-based workflows. Microsoft Endpoint DLP platform, which is integrated with Microsoft XDR, offers all these capabilities, providing significant benefits to organizations.

Research and evaluate various DLP products available in the market to identify options that meet your specific needs and requirements. Consider factors such as the range of DLP capabilities offered, deployment options (on-premises, cloud-based, or hybrid), scalability, ease of integration with existing systems, and vendor reputation and support. Create a shortlist of DLP products that align with your goals and policies, and conduct a detailed comparison to determine the best fit for your organization.

It is good idea to define different scenarios and run a trial version and check which product would fit you the best and it is value for money. Also look into forums and public discussion about how other people experience with products. You may also discuss with experts.

Research and evaluate various DLP solutions available in the market. Consider factors such as features, scalability, compatibility, vendor reputation, and cost.

Before making a final decision, conduct thorough testing and evaluation of the shortlisted DLP products in a controlled environment. Deploy the products in a pilot or proof-of-concept (POC) deployment to assess their performance, effectiveness, and usability in real-world scenarios. Test the DLP products against your predefined use cases and scenarios to validate their ability to detect and prevent data loss or leakage. Solicit feedback from key stakeholders and end users to gather insights into the user experience and any potential issues or challenges.

Conduct pilot tests or demonstrations of selected DLP products to assess their effectiveness in addressing your organization's needs. Evaluate how well each product detects, prevents, and responds to potential data breaches or policy violations.

Test the product to understand it's performance and capabilities. Evaluate the product thoroughly to check the efficiency and it is important to think about how the data is going to handle through the DLP solution. Also it is important to think about telemetry data which are collected by those tools. Evaluate the data and privacy policy of the product and check if it is meets the compliance requirements as well.

Testing and evaluating DLP products through a proof of concept (POC) or pilot project is vital before making a final decision. This allows verification of functionality, compatibility, and effectiveness in your environment on a small scale. Assess its impact on network performance, user experience, and operational efficiency. Compare results with expectations, identifying any issues or gaps for resolution. This ensures the selected DLP solution aligns with your requirements and delivers desired outcomes efficiently.

Implementing and optimizing DLP products entails planning and executing a smooth, secure deployment process, adhering to vendor best practices. Staff training ensures proper usage and compliance with policies. Regular monitoring and evaluation of DLP performance allow for adjustments and improvements, ensuring effective data protection aligned with business objectives.

Once you've selected a DLP product, plan and execute its deployment across your organization. Customize configurations and policies to align with your specific requirements. Continuously monitor and refine the implementation to enhance its efficiency and effectiveness.

Integration with existing security infrastructure: Ensure seamless integration with other security tools and systems within your organization. User training and awareness: Educate employees about DLP policies and best practices to minimize human errors and policy violations. Compliance requirements: Ensure that the chosen DLP solution complies with relevant regulations and standards applicable to your industry. Ongoing support and maintenance: Establish procedures for regular updates, patches, and troubleshooting to keep the DLP system running smoothly.

If your business needs reliable Data Loss Prevention (DLP) products, consider: Cyberhaven, Forcepoint DLP, Symantec DLP, Trellix (formerly McAfee DLP), Digital Guardian Endpoint DLP, Proofpoint Enterprise DLP, and Clumio Protect and Discover. These products offer a range of features, including cloud and endpoint protection, incident response, broad coverage, and standalone email protection. They cater to different business needs and environments, such as small security teams, AWS environments, and more. Choose the one that fits your business requirements.

Conduct thorough research on your current workstation and server operating systems to assess the existing level of Data Loss Prevention (DLP) features, particularly if they are cloud-based. Microsoft 365, AWS, and Google Cloud services should offer robust capabilities for governing and implementing these policies effectively.

To choose reliable DLP products you have to define what "data loss" and "reliable" mean in the context of your systems. Usually data is considered lost when it becomes either nonexistent, corrupted or inaccessible. If a DLP solution recovers 6-year old accounting records when the current ones get encrypted by ransomware - the solution is unreliable. If a self-driving truck self-drives off a cliff with complete in-flight data loss, and a DLP solution is on-prem only - the solution is unreliable. If a DLP solution backs up duplicate data records because it can't cope with temporary network fragmentation - the solution is unreliable. After that it's mostly comes down vendor shopping.