Cyber security enhanced with AI and ML: Improving data loss prevention

The vast and growing amounts of data being created, collected and used by the enterprise makes the deployment of data security solutions a business imperative. It is essential to implement cybersecurity solutions and practices to prevent data leaks and breaches, but how do businesses stay ahead of the growing sophistication of cyber-attacks?

Predictive technologies, such as artificial intelligence (AI) and machine learning (ML) can enhance traditional data loss prevention (DLP) solutions to greatly reduce the risk of breaches or leaks.

AI can provide critical analysis, and ML uses algorithms to learn from data—both provide a dynamic framework to predict and solve data security problems before they occur. The more data patterns ML analyses, the more processes and self-adjustments can operate based on those learned patterns. This continuous delivery of insights increases in value with the “intelligence” of the technology.