You may have seen it already, whether in the news or on a previous blog, but the adoption of AI into cybersecurity practices has raised interest. Primarily, the news of this technology cutting costs for businesses while automating operations is why so many companies are now on board with investing in AI. In fact, 51% of companies using AI reported higher efficiency and workload management.

The machine learning technology has proven its capabilities in various ways, including rapid analysis of data in short time periods and uncovering malware at a fast rate, subjecting them to be placed in endpoint security and patch management. That task on its own saves analysts from having to log and scroll through repetitive work, saving hours upon hours of delays. Additionally, the AI models are trained to detect malware and run through scripts for any loose openings.

“Misunderstandings within AI can cause further delays.”

Yeah, it’s a lot to take in, but that’s why companies let AI handle these complicated tasks (with human supervision, of course). We’ve covered how AI models without oversight can cause disasters - such as: how hackers can override the models’ directions to oppose their own scripts.

Despite AI’s growing popularity within business operations, concerns remain that it’s not 100% reliable. According to Arctic Wolf Networks, “misunderstandings within AI can cause further delays”.

So what is some of the intel on AI’s growth in this hyper protective industry?

According to top research agencies such as the National Institute of Standards and Technology (NIST) and the Cybersecurity Institute of Security and Technology (CISA) do in fact encourage the use of AI, as 3 in 4 companies have adopted it into their security procedures. But, they also talk about the value of human oversight through standard testing and training. Both institutes have taken the liberty in implementing AI tools to “secure federal networks.” There are risks, data dependency and the time it takes to learn new skills, etc.

In Summary: AI will of course continues to grow and businesses have learned their lesson on not being naive to AI or only using AI without providing a humanistic approach. If you want your organization to meet your goals - consider the pros AI can sort out for you and your company.

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Sources:

AI is taking over cybersecurity - but businesses still know the risks

The Role of AI in the IT Industry Cybersecurity - Security Boulevard