AI in Cybersecurity: On the Rise. Every day, the average company gets 10,000 alerts from the different software tools to look for intruders, malware, and other problems. Cybersecurity workers are often inundated with data that must be sorted through to keep their cyber defenses updated.
The stakes are high. Cyber-attacks have hit many businesses and people in the United States. These problems show that new ways are needed to stop the cyber-attack flood. Artificial intelligence is very good at finding patterns in vast amounts of data.
AI in Cybersecurity – Helping Others
It helps cybersecurity in two main ways.
For example, A.I. can help make tasks that a human analyst would typically do manually easier. One of them is recognizing new workstations, servers, code repositories, and other hardware and software on a network without having to think about it. It can also help you decide where to put your security measures. In these kinds of jobs, a lot of data needs to be gathered. A.I. can do these tasks much faster and better than a person could.
Second, A.I. can help humans find patterns in vast amounts of data that they can’t see independently. A.I., for example, might be able to spot critical linguistic patterns used by hackers when they write about threats on the dark web and tell researchers.
A.I.-enabled analytics can help you understand the jargon and code words hackers use to talk about their new tools, techniques, and procedures. Mirai is one example of a name for a group of bots.
To keep the botnet subject from being talked about by law enforcement and cyber-threat intelligence specialists, hackers came up with the phrase.
In cybersecurity, A.I. has already made a few small steps forward. Companies like FireEye, Microsoft, and Google are looking into new ways to use artificial intelligence (A.I.) to find malware, stop phishing attempts, and track the spread of misinformation. Microsoft’s Cyber Signals project, which uses artificial intelligence to look at 24 trillion security signals, 40 nation-state groups, and 140 hacker groups to create cyber threat intelligence for C-level executives, is one of the projects that has been successful.
The Department of Defense and the National Science Foundation have invested tens of millions of dollars in developing advanced A.I. tools for extracting insights from dark web data and open-source software platforms like GitHub, where hackers, too, can share code. These tools can help cybersecurity experts find new ways to protect their networks.
Drawbacks of A.I.
Cybersecurity professionals have questions and reservations about A.I.’s role despite the benefits that artificial intelligence (A.I.) could have for cybersecurity. Using A.I. systems instead of humans may be an option for some businesses. However, they may be worried about how much they can trust computerized systems. It’s not clear how well-known A.I. issues like bias, fairness, transparency, and ethics will show up in cybersecurity systems that use A.I.
A.I. is good for cybersecurity professionals who want to stop cyber-attacks and hackers who want to stop them. Cyber attackers are coming up with new kinds of attacks that can get around cyber defenses by using reinforcement learning and generative adversarial networks, making further information or software based on a small amount of data. Researchers and cybersecurity experts are still trying to figure out how bad people use A.I. to do bad things.