Artificial intelligence is one of the fastest-growing technology, impacting nearly all industries.
However, despite the remarkable progress in machine learning, AI is yet to get humans out of the loop regarding cybersecurity threats. Businesses still face significant threats from malware, APTs, and ransomware.
More than a million new indonesia mobile database virus samples are created every day, making it difficult to track where the threats are coming from. However, generative AI capabilities and cutting-edge technologies offer a real potential for boosting security. Here’s a look at ways AI and advanced technologies can be used for cybersecurity:
User and Entity Behavioral Analytics
Generative AI algorithms can spot suspicious activity or behavior patterns and flag them for further examination. This is known as user and entity behavior analytics or UEBA. The technology relies on AI’s remarkable pattern recognition capabilities. Organizations can employ AI to identify anomalies and potential data breaches.
AI can monitor what the suspicious files do at different times, allowing the organization to monitor activity at 5 am versus 9 pm versus midnight. Such comparisons, featuring time-tied behavioral attributes, lean on the cutting edge and help organizations identify potential threats and reduce false positives. Behavioral analytics can feature automatic notifications that inform the IT team to investigate potential threats and prevent a fully-fledged attack.