How AI can Help Organizations with Cybersecurity?

Introduction

As organizations dive deeper into the digital age, the requirement for prevention against cyber threats is essential. In fact, some recent studies indicate that one cyber-attack occurs every 39 seconds. Artificial Intelligence (AI) is an efficient strategy for preventing the rising number of cyber-attacks on organizations. AI increases the accuracy and speed of defense and also saves time and resources. This blog explains how it works.

How Can AI Fit in the World of Cyber Attacks?

The introduction of AI into the world of cybersecurity optimizes an organization’s ability to identify and fight off threats. Defense automation enables companies to lay a ground of protection and let the technology detect these threats before they turn into attacks. The protection from AI is possible because of its ability to process huge sets of data to identify trends, assess risks, and take immediate action. The use of AI in cybersecurity tooling is not new. In future, AI will be essential in protecting businesses from known and developing cybersecurity attacks.

Securing the Organization Using Predictive Tools

By design, AI is great at learning what typical behavior looks like, identifying irregularities, and detecting new types of activities. In a security setting, an unfamiliar event is identified as a potential attack. However, organizations usually learn about attacks after they occur. As a result, organizations strengthen their systems to prevent attacks from occurring again. This is where traditional security tooling is useful, as it looks at the set of rules for what is and isn’t normal behavior. However, what happens if something occurs outside those parameters?

This is where AI efficiency is critical. AI tools have the capability to increase detection rates, particularly in combination with traditional measures. In other words, AI enables one to broaden what is a potential threat and stay ahead of the cybercriminals. Organizations can also leverage AI as part of the threat detecting process. They can process huge volumes of data to create a profile of each application within an organization. By making use of behavioral analysis and other ML techniques, organizations have the capacity to identify threats before they breach a system.

Organizations cannot fight automated threats, such as bots, only with human responses. The only effective strategy is AI. By assessing behavioral patterns, an organization can distinguish between good bots (such as search engine scrapers), bad bots, and real humans. This also enables an organization to develop an understanding of their website traffic, so they are one step ahead of the threats.

Examples of AI Evading Cyber Attacks

Following are some real-world examples of AI helping with cyber-attacks:

• Fighting phishing and spam: AI enables one to utilize deep learning to identify unsafe correspondence—such as emails with hidden messages with fresh domains.
• Surfacing anomalies: Since deep learning does not go through the fatigue of a manual process, it can meticulously track patterns in data and identify anomalies.
• Protecting DNS data: AI protects organizations from attacks by assessing trillions of DNS queries to understand where the threats lie.
• Identifying advanced malware: Deep learning AI allows organizations to optimize their malware protection approaches by increasing the accuracy and quantity of data it analyzes.

Conclusion

AI is the ideal technology that can help organizations evade the growing number of threats. Between detecting attacks before they occur, getting real-time alerts, and collating accuracy by eradicating human errors—an improved security posture is possible.