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What is Data loss prevention software?

Data loss prevention software is a security tool designed to prevent unauthorized access, leaks, or accidental loss of sensitive information. It monitors data transfers, enforces encryption, and applies security policies to protect intellectual property and personal data. DLP solutions are widely used in finance, healthcare, and legal industries to mitigate risks.

Balanced data
Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.
Internet of Things
The Internet of Things (IoT) connects physical devices, sensors, and software to exchange data over the internet. IoT is used in smart homes, healthcare, industrial automation, and connected vehicles, driving digital transformation and real-time decision-making.
Predictive Analytics
Predictive analytics refers to the use of statistical techniques and machine learning algorithms to analyze historical data and predict future trends. It is widely applied in finance, healthcare, marketing, and risk management for data-driven decision-making.

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