The Use of Artificial Intelligence in Cybersecurity

Businesses see artificial intelligence (AI) as a significant tool in their fight against stealthy attacks within IT systems. As companies struggle to combat extremely complex cybersecurity attacks, which are exacerbated by vanishing IT perimeters in today's mobile and IoT era, as well as a severe shortage of highly trained security professionals, IT security teams require a new approach as well as new powerful tools to secure information and other high-value assets.. According to a recent worldwide research study performed by the Ponemon Institute on behalf of Aruba, a Hewlett Packard Enterprise subsidiary, enterprises are increasingly turning to artificial intelligence (AI) as a critical weapon to win the war against stealthy attacks inside their IT infrastructures.

AI's Benefits in Cybersecurity

AI has several benefits and uses in a range of fields, one of which is cybersecurity. With today's rapidly developing cyberattacks and rapid device proliferation, AI and machine learning can help stay up with hackers by automating threat detection and responding more effectively than conventional software-driven or manual approaches.

Here are some benefits and uses of employing AI in cybersecurity:

Identifying New Threats

AI may be used to detect cyber dangers and potentially harmful behavior. Traditional software systems simply cannot keep up with the huge volume of new viruses developed almost on a weekly basis, hence the need for AI. AI-based cybersecurity systems can provide the most up-to-date knowledge of global and industry-specific threats, allowing you to make more informed prioritization decisions based not just on what could be used to attack your systems, but also what is most likely to be attacked..

Battling Bots

Bots account for a significant portion of internet traffic nowadays. They pose serious threats which include account takeovers using stolen passwords, fraudulent account creation and data theft. Manual replies will not combat computerized threats. AI and machine learning help develop a comprehensive knowledge of website traffic and distinguishing between good bots (such as search engine crawlers) from malicious bots and humans.

Prediction of Breach Risk

AI systems help determine the IT asset inventory, which is a precise and thorough record of all devices, users, and apps with varying levels of access to various systems. Taking into account the asset inventory and threat exposure (described above), AI-based systems can forecast how and where you are most likely to be hacked, allowing you to plan and allocate resources to the most vulnerable regions. AI-based analysis provides predictive insights that allow you to set and optimize policies and procedures to strengthen your cyber resilience.

IoT in cybersecurity

The techniques of protection employed to safeguard internet-connected or network-based devices are referred to as IoT security. The term "Internet of Things" is quite wide, and as technology continues to advance, the concept only becomes larger. Almost every modern gadget, from watches to thermostats to video game consoles, may interact with the internet or other devices.

IoT security refers to the approaches, strategies, and technologies used to keep these devices from being hacked. Ironically, it's the connection inherent in IoT devices that renders them vulnerable to hackers.

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