Artificial intelligence has been around since the 1950s, and the first successful AI program was written in 1951 by Christopher Strachey. Today, AI is used in everything from self-driving cars to automated customer service chatbots. It has played a crucial role in advancing most industries, such as medicine, manufacturing, and marketing. It is also used in one of the most critical areas of cybersecurity.

Approximately 15 million data records were exposed worldwide through data breaches in the third quarter of 2022 alone—making cybersecurity more crucial than ever. AI and machine learning are quickly becoming indispensable in information security. These technologies can rapidly analyze millions of data sets and detect a wide range of cyber threats, from malware threats to shady behaviour that may result in a phishing attack.

Here are a few benefits of integrating artificial intelligence into cybersecurity.

Helps Detect New Threats

Approximately 228,164 malware threats are detected daily, and traditional software systems simply cannot keep pace with the number of new threats each day. AI systems are trained to detect malware, run pattern recognition, and detect even the most trivial behaviour patterns of malware or ransomware attacks before they infiltrate the system. AI-based cybersecurity systems can provide the most up-to-date knowledge of global and industry-specific threats, allowing companies to make more informed prioritization decisions based on what is most likely to be used to attack their systems.

Confronting Bots

Bots account for a significant portion of internet traffic today and can often be dangerous. Bots can be a real threat, causing account takeovers using stolen credentials, bogus account creation, and data fraud.

Manual responses will not suffice to combat automated threats. AI and machine learning assist in developing a comprehensive understanding of website traffic and distinguishing between good bots (such as search engine crawlers), bad bots, and humans. AI can analyze massive amounts of data and allow cybersecurity teams to adapt faster in this ever-changing landscape.

Breach Risk Prediction

Since AI systems keep track of IT inventory, they can monitor specific hardware and software types and identify vulnerabilities, thereby assisting security teams in anticipating potential breaches. It can predict how and where you are most likely to be compromised, enabling you to plan and allocate resources to the most vulnerable areas. Many AI applications can also provide prescriptive data to help solve IT security issues.

Helps Gauge the Effectiveness of the Current Security Systems

To maintain a high level of security, it is critical to understand the significance of the various security tools and processes you have implemented. AI can quickly assist you in understanding system gaps and developing a more robust information security system.

AI also makes it easier to explain the measures taken to stakeholders because it provides objective evidence of the impact of current security measures and why your proposal will be highly suitable.

Endpoint Security

Endpoint security has become highly significant, with a major share of the workforce working from home or as part of the hybrid work culture. AI programs are instrumental in identifying behaviour patterns, geolocation, and time zones to detect suspicious activity, whereas anti-virus and other traditional systems work on signature-based and preprogrammed methods.

Integrating AI into cybersecurity has become an essential aspect of information security systems, and it is predicted that the overall investment in it will reach $30.9B by the end of 2025.

If you want to be part of this sought-after industry, you can develop the required skills at Computek College. We offer a Computer Network & Cyber Security Engineer (CNCSE) course that any beginner can join and gain all the skills required to be job-ready. Call us today at 416-321-9911 to get more information.