How AI Ensures Our Online Safety?!

AI helps so much in Cybersecurity due to its ability to learn and, evolve, detect threats faster and with more precision, which is needed in big companies and banks since a second could be the deciding factor in whether a hacker will be able to acquire access to the system’s database, which in most cases if not all, will be vital for the company in general or for a single personnel in the case of an account hack.

AI was first introduced in 1950-1959, which many people would call the “Birth of AI” Alan Turing first introduced it and was not heard of that much until the late 2000s, when many people called it the revolution of AI. With that, many companies started conducting AI experiments, one of which is our topic today, “cybersecurity.” AI was first used in Cybersecurity in the late 1980s and early 2000s, when the AI revolution started. Some of the most well-known AI cybersecurity systems are Darktrace, CrowdStrike, and Fortinet FortiGaurd. These are considered the best and are used by multiple known companies such as Infosys Ltd, HTS Inc. Consultants, and Fujitsu Ltd. The importance of AI’s help in Cybersecurity is increasing by the second. For instance, to comprehend the significance of Cybersecurity in the digital era, it is essential to underline that the world is becoming more interconnected through the internet and other digital technologies. With the rising use of social media platforms, cloud computing, and Internet of Things (IoT) devices, data and information flows through the internet have multiplied tremendously. This has sped up communication, improved the efficiency of transactions, and made it simpler for consumers to access services. However, it has also made people and businesses more vulnerable to new cyber threats. These dangers include straightforward phishing attacks as well as sophisticated APTs that have the potential to penetrate massive networks and steal critical data.

Theoretical Underpinning

Some of the relevant theories that underpin the use of AI in cyber security include machine learning. This is a term that would seem quite familiar to some people because it’s common in nearly all companies that use websites or even on the single-person level; so, for example, if you’re a digital designer utilizing the help of AI, you’d need a tool that can process trial and error from across the internet from millions of users experience and then evolve to give you an easier more enjoyable experience and that what the term machine learning is all as for why is it essential for Cybersecurity this would be summed in one sentence “always evolving to a better version of itself” which means if a virus or a cyber threat attacked it will quickly adapt and become immune to it that’s why it’s a super important aspect in Cybersecurity.

Behavioral Analytics:

It is a method that uses AI to examine user behavior patterns and find anomalies that could be signs of a potential cyber threat. By observing user behavior on a network, AI can identify possible security breaches and take appropriate action, making it nearly impossible for such threats to reach you. It can also notify you if any procedures are needed to ensure the safety of your account or computer.

Advantages of AI in Cybersecurity

Continuous Learning and Adaptation:

Another significant advantage of cyber security is the potential for AI to improve and learn over time. By continuously monitoring security systems and reviewing security incidents, AI algorithms can discover patterns and gain insights to enhance their efficacy and accuracy. By allowing security systems to react quickly to new threats and attack vectors, AI also makes it easier to stay one step ahead of hackers.

Speed and Accuracy:

One of artificial intelligence’s main advantages for cyber security is its ability to deliver real-time threat identification and response. By examining network traffic, AI algorithms can quickly identify any unusual behavior that might indicate a security flaw. Security personnel can, therefore, respond to the attack quickly and lessen the damage it causes. Because AI algorithms can analyze massive amounts of data and identify potential risks that human analysts might have missed. AI-powered security solutions are also more accurate and dependable than traditional ones.

In conclusion, the previous article demonstrates the importance of AI in daily life and games and in protecting our web experience and delivering the best possible threat-free experience. We saw how AI now makes up most of the structure of any cybersecurity system and how much that helps maintain our safe experience on the World Wide Web.

Resources:

www.researchgate.net, eWEEK, Wikipedia, enlyft, hpe.com, zvelo, calls9

Links:

https://zvelo.com/ai-and-machine-learning-in-cybersecurity

https://www.calls9.com/blogs/the-history-of-ai-a-timeline-from-1940-to-2023

https://www.tableau.com/data-insights/ai/history

https://www.eweek.com/artificial-intelligence/best-ai-security-tools/

https://en.m.wikipedia.org/wiki/Fortinet