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8 Hot AI And Machine Learning Tools For Data Centers

Here are eight ways machine learning and artificial intelligence tools are being leveraged in data centers to solve some of the IT world’s biggest issues around data, cybersecurity and server optimization.

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AI Vastly Improving Data Security, Data Outages

With data breaches and cyber threats like ransomware on the rise, AI can help prevent massive data breaches and hacks by learning a network’s normal behavior then detecting threats based on anomalies and deviations from that behavior. By leveraging AI tools in the data centers, businesses and IT teams can detect malware and identify security loopholes in data center products and systems. Many AI cybersecurity tools can deeply and effectively screen and analyze all types of incoming and outgoing data for security threats.

AI-based cybersecurity tools can process and analyze nearly all incoming and outgoing types of data, while also detecting threats such as malware. AI security solutions use behavioral analytics to protect all forms of data in the data center.

Additionally, AI predictive engine tools can be deployed to predict and identify data outages in the data center, with built-in signatures that can recognize users who might be affected. AI systems can automatically implement mitigation strategies to help the data center recover from a data outage.

 
 
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