Machine learning algorithms can go through huge pools of data to recognize any patterns and anomalies that may be a precursor of a security threat. AI systems, therefore, identify it and act in real time, thus saving the loss of data during the period of attack. It is also possible to predict such kind of threats, since AI can analyze the historical data in order to determine the trends emerging, promoting preemptive measures on the same.
Utilizing NLP, for example, one can carry out monitoring and analysis to be on the lookout for phishing or social engineering indicators in the communication. AI further empowers the automation of other routine security operations, for example, patch management and vulnerability scanning, to make security efforts more effective and efficient.
Utilizing NLP, for example, one can carry out monitoring and analysis to be on the lookout for phishing or social engineering indicators in the communication. AI further empowers the automation of other routine security operations, for example, patch management and vulnerability scanning, to make security efforts more effective and efficient.
