Monitoring and observability are vital factors in the success of keeping your software secure amidst the ever-increasing instance of cyber attacks.
Artificial intelligence is an apt way to enable both observability and continuous monitoring. The critical difference is in allowing your system to be viewed and analyzed from different angles of view. Mostly, your antivirus programs are insufficient in making this possible, making AI inevitable in managing threats and ensuring cyber security. Moreover, AI is prone to fewer mistakes than human involvement.
In 2019, the AI and cyber security segment was worth around USD 8.8 billion, with the highest CAGR (23.3%). By 2026, it is expected to reach about USD 38.2 billion. (markets and markets.com)
Artificial intelligence can correlate the requisite observability information to the identified susceptibilities and also analyze if your software has leveraged some of the libraries.
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So, basically, AI detects the unknown. The entire security industry is based on standard antivirus systems or firewalls that depend on matching signatures. Simply put, the targeted use of AI helps identify early cyber threats and tackle them. It is not otherwise easy to find out the unknown as you are clueless about what to look for.
What drives the growth of artificial intelligence in cyber security is the overall increase in the adoption of IoT(internet of things), increased connected devices, and enhanced awareness of the susceptibilities inherent to wi-fi.
The most significant share of AI in cyber security is currently in North America.