AI detection and prevention
Cybersecurity uses AI as detectors to diminish the chances of an attack or data breach by analyzing expanding global data in conjunction with any threats in your systems, thus identifying new types of attacks. This is, therefore, a quick and efficient way to reduce breaches and efficiently improve security.
How AI can improve threat detection
AI can improve threat detection by registering what "normal behavior" is to then be able to efficiently pick out malware by spotting the differences. This includes attacks or threats that have not yet been identified. In its ability to sift through a large quantity and breadth of information, AI technology is able to efficiently sort through staggering amounts of data to identify a problem—something that humans are unable to do in the quick, routine manner that an AI can.
Human judgment in certain situations can lead to errors that the AI machine would have made. However, AI is far from perfect, with a higher likelihood of false positives occurring. Therefore, many argue that the strongest form of cybersecurity is a combination of both traditional security measures and AI-powered methods.
Benefits and limitations of AI for security
A key benefit of using AI for security is improved threat detection and being able to detect more threats or attacks than the average traditional security alternatives.
In turn, this therefore reduces the response time as the AI detector system is able to quickly and efficiently detect and remove the malware, even if it has never been detected before and respond to the threat accordingly.
AI can also enhance network security by learning network traffic patterns and recommending better security policies to protect your data. Solutions to handling risks that your cybersecurity may be facing give us, as users, a better understanding of how to mitigate or avoid the problem the next time it may occur.
To further strengthen your security systems, AI detection tools also flag the user with any vulnerable points in the system that hackers could pinpoint and attack.
Again, this mitigates any damages by protecting the points of vulnerability a hacker could target and flagging them before any attack has had the chance to occur.
AI technology can also keep an eye on your data center—full of things that may usually slip under the rug. This could include things like backup power, cooling filters, power consumption, and more. This can save you money in the long run by alerting you to any issues so you can repair it before your equipment suffers severe malfunctions out of the blue.
However, not every company has the time or resources to input all the high-quality data AI detection tools need in order to perform at their best. This reliance on quality data is essential in the AI tool to run efficiently and precisely. It is also time-consuming and expensive to pump money into the necessary computer resources and memory required for AI to work to the best of its ability.
Hackers can also use AI technology, making the cyber attacks launched more complex and advanced too. For instance, AI could be used to disguise malware in a way that's similar to detecting it, counteracting the added layer of security AI gives.
On a similar note, 'neural fuzzing' , a technique that is used by AI to sift through large amounts of data and text, can also be used by hackers to learn about the weaknesses in a system, although there has been recent research into creating more complex code to minimize this issue.
Additionally, the chances of potential false positives increases with AI detection systems. Unlike more traditional security techniques, AI detects the majority of threats, even those that have not yet happened.
This, therefore, causes a lot of false positives to occur. False positives can become an issue because it wastes the time and resources of your team during the investigation process, potentially distracting them from actual cyber-attacks or malware breaches.