AI is a hot-button term you’ve probably been hearing pretty often. Many people are looking to the future of artificial intelligence and all that it will be able to accomplish. One exciting aspect of AI is the ability to use machine learning to enhance cybersecurity, whether on an individual basis or as a larger entity like a corporation. Artificial intelligence is completely changing the landscape of technology. There are many reasons why this is a good thing, especially when it comes to cybersecurity. From threat detection to incident response, artificial intelligence is already helping companies improve their cybersecurity posture with innovative cybersecurity solutions. Read on to discover some of the ways that AI is changing the tech security game. 

Improvements in Threat Intelligence

AI-powered cybersecurity solutions are becoming more sophisticated and effective at detecting and preventing cyber attacks. As the number of entry points vulnerable to cyber attacks increases, companies utilizing AI are able to detect and address threats exponentially faster than human analysts can. Machine learning algorithms can analyze large amounts of data in seconds, enabling them to detect and respond to anomalies faster than humans. This enables security teams to produce quick and extremely effective responses to cybersecurity threats. Threat intelligence is made exponentially more efficient by the use of AI technologies. 

Addressing Increased Entry Points

With the rise in entry points due to increases in cloud computing, IoT devices (think Amazon Echo, Apple Watch, Google Nest, etc.) and other technologies, there has also been an increase in the sophistication of cyber attacks. There are more opportunities for cybersecurity to be compromised, and cybercriminals are finding new ways to gather sensitive information from these devices and various entry points. Artificial intelligence can detect suspicious activity and anomalies almost immediately, allowing users to have more control over the safety of their information. AI can also analyze massive amounts of data at once, identifying patterns and trends that may indicate an impending attack. 

Increased Biometric Security

According to MobiDev, a cybersecurity developer, there is more biometric authentication, verification, and identification technology at our disposal than ever before. However, with the utilization of artificial intelligence, biometric security measures are more secure. While malware may be able to guess a password, technologies like voice and facial recognition, fingerprint recognition, and iris scanning technology benefit from increased accuracy and security with AI. With the advancement and increased sophistication of devices protected with biometric security, artificial intelligence ensures that cybercriminals have a harder time impersonating legitimate users. 

Expedited Incident Response

Artificial intelligence allows machine learning to analyze data and not only respond to threats in real time but predict future attacks based on patterns in the data. According to SailPoint, a security solutions firm, a company’s ability to respond in real time and quickly address threats is crucial to the security of their data and the ability to provide information safety solutions to users. Technologies like AI-powered chatbots and virtual assistants can provide immediate assistance to users who have been targeted by a cyber attack, helping them to quickly contain and mitigate the damage. Artificial intelligence technologies can implement patches and address threats as they happen, which drastically shortens response times. Because malware and cybercriminals can attack and penetrate security systems quickly, the need for an even quicker security solution like machine learning and AI is paramount.

Looking Ahead in Artificial Intelligence and Cybersecurity

As companies begin to utilize artificial intelligence more holistically, there is an increasing need for transparency in procedures among organizations. Users are concerned about privacy and ethics regarding artificial intelligence and cybersecurity. Companies need to be forthcoming about the ways in which they are using AI, and they also need to ensure that they are complying with relevant laws and regulations.