Due to the COVID-19 pandemic, most businesses have experienced a disruption in the work processes and an overall decrease in terms of productivity. Although remote working or working from home has been instrumental in helping to keep businesses afloat – it has also increased the likelihood of cyberattacks, which has directly been responsible for massive network security risks as it leaves the business’ network open to cyber threats. In the business world, the privacy and safety of customer data are paramount.

As a result, businesses have had to increase their focus on adopting comprehensive cybersecurity infrastructure. This is where artificial intelligence comes into play. Artificial intelligence has demonstrated incredible promise and potential in mitigating cybersecurity threats and businesses around the world are investing in the technology to improve their operations. Cybersecurity can be greatly improved by leveraging AI and ML to improve the speed at which businesses can identify cyber threats and mitigate risks. 
Additionally, ongoing advancements in artificial intelligence technology, processing capabilities and improved access to data have allowed computer systems to carry out security tasks that previously needed human intelligence to execute. This has greatly improved threat intelligence, prediction and protection. It is also responsible for facilitating quicker attack detection and response while decreasing the need for intervention by human cybersecurity specialists.

Enhanced efficiency and accuracy of cyber analysts: 

Analysts devote a considerable amount of time going through logs, AI significantly decreases that time and allows them to focus and spend more quality time on analyzing incidents, understanding the patterns/trends that the algorithms identify.

Allows organizations to respond faster to breaches: 
AI-powered technologies are enabling businesses to automate countermeasures and prevent themselves from falling victim to cyberattacks while simultaneously countering these digital threats. By conducting continuous scans for known and unknown anomalies that indicate threat patterns can lead to increased efficiency and quicker detection of cyber threats for businesses.

Decrease in the cost of detecting and responding to breaches: 
Integrating artificial intelligence and advanced analytics to process massive quantities of internal and external data, businesses can develop predictive and usable insights that can be used for threat assessment and risk mitigation. Additionally, this allows AI software to learn from security analysts and improve its performance, resulting in quicker and better prevention against cyber attacks.

Although AI has made notable progress in its applications across multiple industries, its application in cybersecurity infrastructure can still be considered to be in the nascent stage at the moment. Businesses, using the help of cybersecurity experts, must pinpoint and locate the precise areas where deploying an AI-enabled cybersecurity system can yield the maximum return on investment and develop a roadmap that outlines appropriate goals and future upgrades accordingly.