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AI has quickly become the foundation of cybersecurity efforts in recent years, with the technology helping to protect companies and individuals from costly data breaches. According to IBM’s report, the average cost of a data breach is a staggering $4.35 million, making AI an increasingly vital part of protecting confidential information. 

According to Dick O’Brien, Principal Intelligence Analyst with Symantec’s Threat Hunter Team, said that “AI today plays a significant part in cybersecurity and is fundamental in addressing key security challenges” reported by Venturebeat

AI in cybersecurity is so effective that by 2030 the AI in Cybersecurity Market Size is projected to reach USD 133.8 billion. It is obvious that AI could play a critical role in reducing risk and financial impact for organizations of any size.

AI in Cybersecurity Statistics

  • 51% of businesses use AI primarily for threat detection, 34% heavily for prediction, and 18% for response. 
  • 62% of enterprises have fully implemented AI for cybersecurity or are exploring additional uses.
  • Today, 71% of organizations spend more on AI and machine learning for cybersecurity than two years ago.
  • The market for artificial intelligence in cybersecurity is expected to reach USD 133.8 billion by 2030, driven by an increase in the number of cyber attacks.
  • As of 2027, the global market for AI cybersecurity technologies is expected to grow at a compound annual growth rate of 23.6%.
  • AI is used for security by more than 80% of telecommunications companies. 
AI in Cybersecurity

Source: (GlobeNewsWire, Oracle,Webroot, Meticulous research, Capgemini )

AI in Cybersecurity Examples

#1. Threat detection and prevention

As artificial intelligence becomes increasingly advanced, its application to cybersecurity continues to be apparent. Both Zcybersecurity and DarkReading have reported that AI can be used for various solutions, such as threat detection and prevention. 

AI algorithms are able to scan multiple data sources, detect anomalies, and then take action. This can help organizations stay ahead of the latest cyber threats through proactive threat resolution rather than reactive responses after an attack takes place. 

The combination of AI and cybersecurity is becoming more important as industry-wide security standards become increasingly rigorous.

#2.Detecting Advanced Malware

SearchSecurity, a well recognized name in the cybersecurity scene, has been keeping track of AI applications in the field. 

Detecting Advanced Malware

According to SearchSecurity, “detecting advanced malware is one of the most successful uses of deep learning and AI technology” reported by Mimecast .

This is due to the sheer amount of labeled samples available from both malicious and safe applications. 

With this data, artificial intelligence can be employed to better detect and quarantine any suspicious files that try to sneak into your system.

#3. Taking automated actions

Artificial intelligence is becoming more and more important in the field of cybersecurity, according to datacenterknowledge. With AI, a company can take automated actions quickly to low-risk cyber alerts that help secure networks and data against cyberthreats. 

AI enables machines to learn from data sets and then use that knowledge to detect potential malicious activities through deep learning algorithms. 

This helps security teams more quickly spot threats and anomalies in large pools of information. Companies can create autonomous systems that can make decisions on their own by applying scenarios from past experiences and mitigating risk accordingly–all without human intervention.

How effective is AI in cybersecurity?

AI tools are becoming a powerful resource for improving cybersecurity. IBM states that integrating AI and automation into security practices can save up to 14 weeks of labor in threat detection and response times as well as reduce the costs associated with data breaches. 

AI is also used to detect threats more accurately and help prioritize responses according to real world risk according to Driver, reported by CNBC. . Furthermore, these digital systems allow information security teams to monitor their networks in real-time, better equipping them to spot potential security breaches before they cause harm. 

Using algorithms around machine learning and deep learning, AI can recognize patterns on the network and cluster them accordingly. 

Any slight deviations from the assigned clusters can indicate potential threats or issues which AI is capable of quickly recognizing. In this way, it reduces human error and provides an extra layer of protection for organizations.

What is the demand for AI in cybersecurity?

According to Meticulous Research, the demand for Artificial Intelligence  in cybersecurity is on a sharp rise and set to reach USD 133.8 billion by the end of 2030. 

This growth is projected to be quite strong, with an estimated compound annual growth rate of 23.6% through 2027. 

As AI-based solutions become more cost-effective and accessible, companies are looking to them as their first line of defense against cyber threats and malicious actors. AI can quickly detect anomalies within vast networks of data that could signal malicious activity or vulnerabilities that need attention. 

AI also can automate security processes such as patching management or cross-checks multiple databases for attached malware signatures. 

With its ability to analyze millions of pieces of data a second, AI is setting the standard in digital services when it comes to cybersecurity concerns.

Is AI going to replace cybersecurity?

With cyber security threats growing at an alarming rate, it is very unlikely Artificial Intelligence will completely replace cybersecurity professionals.

Upguard has noted, however, that while it can help to increase speed, accuracy and security of processes, its current functionality will not replace the role of cybersecurity professionals. 

Similarly Linkedin’s report on AI has concluded that we should not believe AI can completely replace the human mind – after all, rule-based automation systems have their limits. 

It is clear then that advancements in AI do not mean humans will be replaced but rather assists powered by AI technology can help us remain ahead of emerging threats.

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