These days, chatbots that use artificial intelligence (AI) are the hot topic. Yet, AI cybersecurity is one of the software program's most rapidly expanding functions. That's because real-time detection and defence against cyberattacks saves money for businesses, governments, and people alike.
According to MarketsandMarkets Research, the global AI cybersecurity market is worth $22.2 billion this year. However by 2028, it's projected to grow to $60.6 billion. A 21.9 percent compound annual growth rate applies to that.
An increase in cyberattacks
Cybercrime affects 97 people or businesses every hour, the report by SurfShark reads. Due to this, 2,328 successful cyberattacks will be launched on the day you read this, causing millions of dollars in losses.
According to Cybersecurity Ventures, those losses should rise by 15% annually. By 2028, it is anticipated that yearly losses will amount to $10.5 trillion.
“If it were measured as a country, then cybercrime would be the world’s third-largest economy after the U.S. and China,” stated Steve Morgan, founder of Cybersecurity Ventures.
Expanding AI cybersecurity response
AI and its partner machine learning are the officers on the beat to stop this growing cybercrime wave (ML).
“AI is big data,” explains Mansour Khatib, CEO of GBT Technologies, Inc., Santa Monica, CA. “AI manages massive amounts of data to detect something that’s suspicious. It can stop an attack and, based on the data it has gathered, it can know the attack’s next move.”
Global cyberattack data is continuously gathered by AI. ML can comprehend industrial and worldwide risks to thwart an attack using the knowledge gathered by AI.
Flexibility in AI cybersecurity
In theory, humans are capable of doing the same tasks as AI cybersecurity. People don't notice a system is under attack for a very long time, though. There have been numerous successful attacks on systems run by AI that went unnoticed for days.
Cybersecurity in the past has its limitations. After malware is discovered, it is blacklisted and information is analysed on it. This approach might thwart attacks from that particular malware, but it cannot identify brand-new, original threats.
In addition to being faster and more powerful, AI is also more adaptable than conventional cybersecurity techniques.
An AI cybersecurity system uses ML to identify new attacks and attackers based on similarities to past ones, learn patterns, and identify correlations between patterns. In other words, AI may change as needed.
Cybersecurity's future with IoT And AI
The use of physical devices that send and receive information via the internet is enabling an increase in global connectivity. The Internet of Things is therefore used to describe that. Cell phones, automobiles, thermostats, and even refrigerators are among examples.
Today's refrigerators can alert you when you run low on something or are out of it so you may replenish it, claims Khatib.
The fridge can communicate with your smartphone or home assistant, such as Google Assist or Amazon, by sending messages via Wi-Fi.
Cyber criminals have new ways to steal your financial and personal information as more objects are connected to the internet.
It's possible that you own a smart bulb, Khatik speculates. This lightbulb transmits data to you via your router. By accessing the light bulb, someone may take control of your router. They might then access your computer and obtain a variety of information from there.
Such attacks might be thwarted using AI cybersecurity. Can you afford it, though?
Khatib responds, "Definitely. Protection for your house and personal devices is getting more affordable in today's society. An inexpensive PC with fingerprint recognition is available right now."
According to CujoAl's analysis of 1.7 billion connected devices in North America between April 2021 and April 2022, almost half of them are unable to operate antivirus software. To secure all of the devices connected to a network, AI cybersecurity can be included into a router.
