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What is data loss? | Definition from TechTarget
Data loss is the intentional or unintentional destruction of information. Data loss can be caused by people and/or processes from within or outside of an organization. Data loss is similar to a data breach, in that data is compromised. However, in a data breach, data is usually unharmed but in the wrong hands.
Loss Functions and Their Use In Neural Networks - Towards Data Science
This article will dive into how loss functions are used in neural networks, different types of loss functions, writing custom loss functions in TensorFlow, and practical implementations of loss functions to process image and video training data — the primary data types used for computer vision, my topic of interest & focus.
Understanding Data Loss Prevention (DLP): What It Is, How It Works, and ...
This article delves into what data loss prevention is, how it functions, DLP software solutions, and how to create a DLP strategy for stronger data security. What is data loss prevention (DLP)? Data loss prevention is all about protecting sensitive information from loss, corruption, misuse, or unauthorized access.
The future of data-loss prevention - McKinsey & Company
The future of data-loss prevention. It’s time for companies to raise their game in data visibility and regulatory compliance. Three trends should be top priorities. July 13, 2022 By Jim Boehm, Anatoly Brevnov, Lucy Shenton, and Daniel Wallance. This past year was the worst on record for breaches of enterprise data, and the number of attacks ...
What is Data Loss Prevention (DLP) - CrowdStrike
Data loss prevention (DLP) is a set of tools and procedures that forms part of a company’s overall security strategy and focuses on detecting and preventing the loss, leakage, or misuse of data through breaches, exfiltration transmissions, and unauthorized use.
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