Machine Learning and AI in Cybersecurity

Artificial intelligence (AI) and machine learning are positioned to assist today's enterprises as they fight to defend themselves against the rising number of cyber attacks. 


Real-time learning and analysis of potential cyber risks is made feasible by AI and machine learning. Additionally, they use computers to create behavioral models, employing these models to forecast cyberattacks as new information becomes available. By accelerating and improving cybersecurity responses, these technologies work together to help businesses strengthen their security defense. 


An Effective Tool for Combating Cyber Attacks 

Cyberattacks have increased as more firms adopt digital transformation strategies. According to the Identity Theft Research Center, 2021 has been a record-breaking year in the U.S., with the number of data breaches at the end of the third quarter surpassing all of 2020 by 17 percent. Likewise, ransomware assaults have been rising alarmingly, with the typical incidence costing businesses over $700,000. Today, a ransomware assault occurs every 11 seconds, causing a 21-day company outage average. 


AI and machine learning can guard against these advanced threats, which hackers are using to shut down business networks. In fact, these technologies are rapidly advancing into commonplace tools for cybersecurity experts in their continuing battle with malicious actors. 


61 percent of firms said they won't be able to recognize major risks without AI, and 69 percent think it would be vital to counteract cyberattacks, according to a survey by Capgemini Research Institute. In fact, it is predicted that the market for AI in cybersecurity would reach $46.3 billion by 2027. 



Benefits of AI and Machine Learning 

AI and machine learning are having a significant positive impact on cybersecurity programs at organizations. These consist of: 



Potential Uses 

Although there are risks associated with AI and machine learning, their usage is only anticipated to grow in the future. These technologies have already shown themselves to be quite successful in a variety of application scenarios. The following are some typical use cases where businesses are effectively utilizing AI and machine learning: 



Planning Your Implementation 

It may be tough to know where to begin when integrating AI and machine learning into one's cybersecurity strategy, which is why many firms find it problematic. As you start implementing your implementation strategy, keep the following advice in mind to get the greatest results: 



Powerful Tools for An Escalating Problem. 

AI and machine learning are potent tools that may aid firms in becoming more prepared as the volume and sophistication of cyberattacks rise. Your firm can identify and respond to cyberattacks in real-time with the correct technologies in place, while also resolving potential risks before they become major problems. As a consequence, you can better manage the pace and scope of today's risks and discover threats sooner, for less money, and with a security posture that is stronger. 


How Lumifi Can Help 

We not only utilize the industry’s leading threat intelligence platforms, but also deliver personalized security recommendations through scheduled calls with a dedicated Engagement Manager. Our suite of services allows you peace of mind knowing your organization is being monitored around the clock by an industry leading SOC which takes pride in its customers' security.