For years, the response to a cybersecurity incident is a bit like listening to a smoke alarm in a mansion – if you hear a beep, you know something is on fire. Signature-based detection can do this, but only after the damage begins to smolder. Enter AI, which is not only waiting for the smoke—it will sniff out weird cooking, check the blueprints, and figure out whether the fire is real, accidental or delicate robbery.
As threats get faster and faster, sneaky, tailored, response games are improving. Artificial intelligence is helping teams abandon reactive whip Moore into a real-time background-aware defense world. Think of fewer panic buttons, more predictive detectives, and with tricks for pattern recognition.
David Gruber, chief analyst at the Corporate Strategy Group (ESG), noted that AI is particularly useful for two key capabilities. “First, the ability to apply threat intelligence more effectively in the detection, investigation and response process,” he said. “This has been a challenge for many security teams, and the latest applications of AI are now posing a beneficial threat throughout the SECOPS process. The second area is automation. AI is helping to automate many of the more manual tasks previously associated with threat investigations, reducing the manual steps needed to complete the investigation.”
Mobile signature-based detection
The ability to learn and adapt from emerging threats is through AI sales, which is expected to significantly reduce incident response time.
