Employ artificial intelligence to identify and respond to data leaks

In modern times of a hyper-connected digital world, the threat of sensitive data being leaked due to malicious attack, internal threats, or employee error is stronger than ever before. The conventional approaches to cybersecurity are too slow to cause actual harm. That is when Artificial Intelligence (AI) comes into action. The AI can process enormous data in real time, spot suspicious actions, and even perform authoritative activities before a human crew even realizes that an issue has occurred.

AI is making the dream of data protection come true, but it is also the current reality of proactive cybersecurity. These are 5 practical scenarios of Artificial Intelligence to identify and respond to Data Leaks in real time and with powerful effect.

5 Real-World Ways Artificial Intelligence to Identify and Respond to Data Leaks

1. Behavioral Anomaly Detection

   
   

   AI keeps learning the normalcy of behavior among each user or system. It will raise alarms or block an action as soon as it notices such abnormalities within the system, such as someone in the finance department downloading HR files at midnight.

   
   

   

   
   

2. Email and Communication Monitoring

   
   

   Natural Language Processing (NLP) allows AI to crawl through emails and chat logs to identify any sensitive information being sent to the outside world. It can highlight terms such as SSN, confidential, or password to avoid careless and malicious revelations.

   

3. Automated Data Exfiltration Alerts

   
   

   In the case that AI identifies that there is an unusual amount of data transferring into an external cloud storage or USB that is not authorized, the AI could terminate transfers, remove access, and notify security teams without delay.

   
   

   

   
   

4. Insider Threat Detection

   
   

   Insider threats can also be profiled since the AI systems have the capability of monitoring access patterns over time. A sudden access of high amounts of data that is supposed to be restricted by an employee, followed by his or her resignation or unexpected absence.

   
   

   

   
   

5. Third-Party Risk Monitoring

   
   

   AI tools can keep an eye on third-party vendors that are linked to your network. And when some partner system begins acting suspiciously, such as launching access during non-business hours or inquiring into sensitive files, AI will halt the connections to stop possible infiltration.

   
   

   

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