Kibernetska varnost bo do leta 2025 predstavljala skoraj eno četrtino trga programske opreme za umetno inteligenco

By 2025, the artificial intelligence (AI) software market will expand from 2021’s $33 billion to $64 billion, according to a new report. And cybersecurity is the fastest-growing category of AI spend, experiencing a rise in spending of 22.3% compound annual growth rate (CAGR).

That’s according to the “Global AI Software Forecast 2022” from Forrester Research. “Cybersecurity is the fastest AI software growth category, with a focus on the real-time monitoring of and response to attacks,” the report states. The next two categories, customer and human capital management (22%) and process optimization, knowledge, and data intelligence (18.3%), also have cybersecurity elements, so the impact on security tool makers could be even more significant.

To je v skladu s poudarkom, ki so ga podjetja dala svoji programski opremi in storitvam, izboljšanim z AI. Na primer, kreditni velikan Visa je razkril, da je porabil pol milijarde dolarjev podatkovna analitika in AI in the past five years. It’s using those tools, along with conventional cybersecurity measures, to keep the fraud rate at what Visa calls historic lows despite e-commerce growth.

Organizations can deploy AI for cybersecurity anywhere there’s ponavljajoča se dejanja in pričakovano vedenje, Vključno z upravljanje površin napadov, extended detection and response (XDR), and user and entity behavior analytics (UEBA). Forrester calls out SentinelOne as a prime example of an XDR success story, pointing out the company’s 120-odstotna medletna rast prihodkov v fiskalnem letu 2022. Marca SentinelOne dodano zaznavanje groženj identitete in odziv na svojo platformo, ko je kupil Attivo Networks.

Orodje AI se lahko nauči, kakšna je običajna dejavnost določene naprave ali računa, in nato označi, ko ta končna točka deluje izven norme. Takšna avtomatizirano odkrivanje je neprecenljiv, če upoštevamo, da ni mogoče zagotoviti dovolj osebja, da bi človeške oči opazovale vsak del omrežja. In raziskovalci iščejo načine za to uporabljati velike jezikovne modele kot GPT-3 za praktične naloge, kot je sledenje omrežij zlorabskih forumov. Da bi zagotovili nekaj perspektive na takšen razvoj dogodkov, Dark Reading izdal poročilo in September, “How Machine Learning, AI & Deep Learning Improve Cybersecurity,” about how to assess a vendor’s AI claims and define its success criteria.

One hitch in AI’s gallop is the challenge of setting up a system so that it flags what is necessary for human analysts to assess without creating alert fatigue. A survey earlier in 2022 revealed that almost half (46%) of IT security staff said their AI systems created preveč lažno pozitivnih opozoril da jih naslovijo. Optimist bi videl lažno pozitiven problem kot priložnost za rast, vendar odpiranje novega trga za storitve natančnega prilagajanja.

Za več vpogledov obiščite Zapis v blogu Forrester Research o poročilu.