Artificial intelligence (AI) is a branch of computer science. It involves developing computer programs to complete tasks which would otherwise require human intelligence. AI algorithms can tackle learning, perception, problem-solving, language-understanding or logical reasonings.

Artificial intelligence (AI) is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data and make recommendations.

A machine can be made to behave like a human using emerging technology.

 The year 1955 is marked as the beginning of Artificial Intelligence.AI  machines can perform the following functions: to think like humans, works on the basis of provided codes and programs, making human life easier and more pleasurable.

AI presents many advantages and applications in a variety of areas as enumerated above.

Cybersecurity being one of the application of AI With fast-evolving cyberattacks and rapid multiplication of devices happening today, AI and machine learning can help to keep alongside with cybercriminals, automate threat detection, and respond more effectively than conventional software-driven or manual techniques.

The cyberattack surface in modern enterprise

environments is massive, and it’s continuing to grow rapidly. This means that analyzing and improving an organization’s cybersecurity posture needs more than mere human intervention.

AI and machine learning are now becoming essential to information security, as these technologies are capable of swiftly analyzing millions of data sets and tracking down a wide variety of cyber threats — from malware menaces to shady behavior that might result in a phishing attack.

In the future, cybersecurity will be a top priority for every company, and the cybersecurity industry is expected to grow by 44% in the next five years. As the industry grows, it will require more professionals and companies to hire cybersecurity professionals.for these reasons,there is a need to import an Artificial Intelligence to cybersecurity so as to uphold and maintain the work of traditional cyber security professionals. some of the roles are:

BREACH RISK PREDICTION

AI systems help determine the IT asset inventory which is an accurate and detailed record of all devices, users, and applications with different levels of access to various systems.

Now, considering the asset inventory and threat exposure. AI-based systems can predict how and where you are most likely to be compromised so that you can plan and allocate resources towards areas of most vulnerabilities.

Prescriptive insights from AI-based analysis enables you to configure and improve controls and processes to reinforce cyber resilience.

BATTLING BOTS

Bots make up a huge segment of internet traffic today, and they can be dangerous. From account takeovers with stolen credentials to fake account creation and data fraud, bots can be a real menace.

You can’t tackle automated threats with manual responses alone. AI and machine learning help build a thorough understanding of website traffic and distinguish between good bots (like search engine crawlers), bad bots, and humans.

AI enables us to analyze a large amount of data and allows cybersecurity teams to adapt their strategy to a continually altering landscape.

BETTER ENDPOINT PROTECTION

The number of devices used for working remotely is fast increasing, and AI has a crucial role to play in securing all those endpoints.

 Antivirus solutions and VPNs can help against remote malware and ransomware attacks, but they often work based on signatures. This means that in order to stay protected against the latest threats, it becomes necessary to keep up with signature definitions.

This can be a concern if virus definitions lag behind, either because of a failure to update the antivirus solution or a lack of awareness from the software vendor. So if a new type of malware attack occurs, signature protection may not be able to protect against it.

DETECTION OF NEW THREATS

AI can be used to spot cyber threats and possibly malicious activities. Traditional software systems simply cannot keep pace with the sheer number of new malware created every week, so this is an area AI can really help with.

By using sophisticated algorithms, AI systems are being trained to detect malware, run pattern recognition, and detect even within a shortest period of time a behaviors of malware or ransomware attacks before it enters the system.

AI allows for superior predictive intelligence with natural language processing which curates data on its own by scraping through articles, news, and studies on cyber threats.

This can give intelligence of new anomalies, cyberattacks, and prevention strategies. After all, cybercriminals follow trends too so what’s popular with them changes constantly.

AI-based cybersecurity systems can provide the latest knowledge of global as well as industry-specific dangers to better formulate vital prioritization decisions based not merely on what could be used to attack the systems but based on what is most likely to be used to attack the systems.