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While the integration of AI is fundamentally shaking up how cybersecurity professionals perform their jobs, it is also increasing efficiency in the performance of their jobs on several different levels. For the first time in history, the field is experiencing a shift towards predictive security measures rather than merely responding to incidents or attacks that have already occurred. There are a number of different reasons why AI has played a direct hand in that matter.
Anomaly Detection Systems
Anomaly Detection Systems
AI systems establish a baseline for normal behavior on a network, then they are able to instantly flag deviations such as unusual data transfers, login times, or strange access patterns.
Automated Incident Response
Automated Incident Response
Perhaps one of the most useful additions AI has provided to the cybersecurity field is the ability to detect and respond to threats in milliseconds, allowing for instant isolation of infected devices.
Predictive Threat Modeling
Predictive Threat Modeling
By using predictive analytics and running through thousands of previous scenarios, AI is able to identify potential vulnerabilities before being exploited, allowing for a proactive fix rather than a reactive one.
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