Latest coverage for Data Loss Prevention
Data Loss Prevention detects and blocks sensitive information leaving approved systems, reducing breach impact when paired with access controls and monitoring.
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Data Loss Prevention (DLP) encompasses technologies and policies designed to detect and prevent unauthorized transmission or exposure of sensitive data outside an organization’s controlled environment. It monitors data in use, in motion, and at rest to block or alert on actions like copying, emailing, or uploading confidential information. DLP aims to reduce risks from insider threats, accidental leaks, or external attackers exploiting compromised accounts.
Effective DLP requires accurate data classification, contextual analysis of user behavior, and integration with access controls to minimize false positives and operational disruption. It is most relevant for protecting intellectual property, personal data subject to privacy regulations, and critical business information. While DLP cannot stop all data exfiltration attempts, it strengthens defense-in-depth by enforcing data handling policies and supporting forensic investigation of suspicious activities.
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5 Considerations for a Data Loss Prevention Rollout
Strong DLP can be a game-changer — but it can also become a slow-moving, overcomplicated mess if not executed properly.
Orion Security Startup Tackles Insider Threats With AI
The data loss prevention company emerges from stealth with an AI-powered platform to help organizations distinguish between legitimate and risky activity.
Versa Introduces Integrated Endpoint Data Loss Prevention in SASE Solution
MIND Launches "Intelligent" DLP Platform
The company's data loss prevention platform helps customers identify and classify data across SaaS and GenAI applications, endpoints, and emails.
InfoSec 101: Why Data Loss Prevention is Important to Enterprise Defense
Data is the most valuable asset for any organization, and protecting it is crucial to maintaining business continuity.
Flow Security Launches GenAI DLP
Forcepoint Delivers Data Security Everywhere, Extending DLP Policies From Endpoints to the Cloud
Coming to a SOC Near You: New Browsers, 'Posture' Management, Virtual Assistants
Startups are coalescing around effective data loss prevention, reducing data attack surfaces, and viable AI automation.
5 Signs That It's Time to Invest in Data Loss Prevention
Automation means more attacks. It also means smarter, easier-to-implement prevention techniques. Here are five signs it is time to put your own data loss prevention strategy into place.
Plug Your Data Leaks: Integrating Data Loss Prevention into Your Security Stack
The average cost of a data-exposing cybersecurity incident is $4.35 million. If your business can’t avoid to pay, make sure you’ve got a strong data loss prevention practice in place.
5 Best Practices for Building Your Data Loss Prevention Strategy
The entire security team should share in the responsibility to secure sensitive data.
Enhancing DLP With Natural Language Understanding for Better Email Security
Natural language understanding is well-suited for scanning enterprise email to detect and filter out spam and other malicious content. Armorblox introduces a data loss prevention service to its email security platform using NLU.