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Advanced analyticsĪdvanced analytics can automate tasks like detecting anomalies in an employee’s behavior pattern, sending alerts when someone is about to exceed their usage limits, or determining whether sensitive information has been leaked outside the organization using keywords. It should also provide recommendations on how best to deal with the situation without sacrificing compliance measures such as perimeters or encryption keys. It’s not enough to just know that an incident happened it needs to give real-time notifications, so you can stop a problem before it becomes irreversible.Īlerts need to include details about the situation, including how much data was lost, who may have stolen the data, and how soon you need to act to recover the lost data. AlertsĪ critical feature in any DLP tool is receiving alerts when suspicious activity occurs. You want the system to automatically back up all of your data and notify you if there is any potential breach of privacy. If you use cloud services, looking for a provider that integrates with them seamlessly is essential.
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Here are the must-have features of a good DLP solution. Organizations are responsible for this, as they must adhere to specific regulations, including HIPAA (Health Insurance Portability and Accountability Act), GDPR (General Data Protection Regulation), PCI DSS (Payment Card Industry Data Security Standard), FISMA (Federal Information Security Management Act), and SOX (Sarbanes-Oxley Act).įor example, HIPAA requires covered entities to take reasonable safeguards to protect electronic health information from misuse or inappropriate access by an unauthorized person.īy classifying data and identifying anomalous behavior, DLP tools give enterprises the visibility and reporting needed to protect data and satisfy compliance reporting requirements.Īlso see the Top Governance, Risk and Compliance (GRC) Tools Common Features of DLP Toolsĭata loss prevention tools help organizations protect their data from unauthorized access and accidental or intentional deletion. By doing so, organizations can prevent data breaches and protect sensitive information from being lost or stolen.
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Good data handling and security best practices are a good start, but the volume of information in an enterprise requires automated monitoring, and that’s where DLP tools come in.Īlso read: Implementing Best Practices for Data Loss Prevention What is Data Loss Prevention?ĭata loss prevention is the proactive process of identifying, monitoring, and protecting data in use, in transit, and at rest. These tools can help companies protect their data from hackers, accidental deletion, insider threats and more.īusinesses need to ensure the tools they use are practical and effective enough for the level of protection they need. That’s where data loss prevention tools come in. In a world where data breaches are becoming increasingly common, it’s essential to take steps to protect enterprise information.