For years, cybersecurity operated on a relatively simple rule: a human detects suspicious activity, examines it, and then decides how to respond. Today, however, that model is under pressure. Cyberattacks are evolving at machine speed that doesn’t always leave time for human intervention.
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In some cases, an attack can go from initial breach to execution of additional actions in a matter of minutes or even seconds. At the same time, artificial intelligence allows attackers to automate processes that previously required significant time and human effort.
This is where the concept of machine speed: the need for cybersecurity systems to detect and respond to a threat almost as quickly as it evolves.
Imagine an employee opening a seemingly innocent email. Within seconds, an attacker can attempt to gain access to an account. If the security system takes several minutes to analyze the traffic, notify a manager, and activate the appropriate measures, the damage may already be done.
See also: Can an AI agent become a hacker without a human to guide it?
That's why modern solutions are increasingly turning to automation. Artificial intelligence systems can analyze huge volumes of data, recognize unusual patterns, and, in some cases, take immediate action, such as isolating a device or disabling a suspicious connection.
However, speed is not the only consideration. An automated system can also make mistakes. A wrong decision can disrupt a critical system or lock out a legitimate user.
The big challenge, therefore, is not just to make cybersecurity faster. It is to make it fast enough to deal with machines, without losing human control.
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In the age of machine speed, 22 seconds may not be an impressive number. But it can be the difference between an attack being detected in time and one that has time to spread.
