Artificial Intelligence (AI) is becoming an important part of our day-to-day lives.
Nowadays, there is no sector where AI has yet to enter. With the influence of modern technology, cyber security is not left behind. Effective cyber security requires proper analysis and detection technology. AI has the potential to perform this ability perfectly. Apart from that, it can perform a wide variety of applications in the Cyber Security field. We know some of you might be unaware of the full potential of Artificial Intelligence (AI) in this field. Hence, we have decided to share you with the top applications of this technology in cyber security in this article. Apart from applications, we will also provide you with some of the essential details about the potential of AI in the cyber security world. In short, you have entered the all-in-one destination to learn everything about AI in cyber security.
AI in cyber security – overview
Cyber attackers already use dark AI to perform more sophisticated and faster cyber attacks. These AI-enhanced threats often go undetectable with traditional cyber security methods. Thus, the involvement of Artificial Intelligence in cyber security has become crucial. AI in cyber security is immensely essential for protecting digital systems and data from unauthorized access and threats. It uses neural networks, ML, and other relevant technologies to detect, respond to, and prevent cyber-attacks faster and easily. AI is used in threat detection and response by understanding normal network behavior to identify anomalies and conducting behavior analysis to catch suspicious activities. This ability also enables real-time monitoring for instant threat identification.
If used perfectly, you can train AI systems to enable automatic threat detection and generate alerts. You can also use these systems to identify new strands of malware and secure sensitive data of your organization. Are you excited to learn more about the applications of AI in cyber security? You should keep reading to explore the complete application of this technology for cyber security.
Advantages of Artificial Intelligence in Cyber Security
Though artificial intelligence can protect your digital systems from cyber attacks in many ways, it can also provide you with countless benefits. Therefore, let us understand the top advantages you can enjoy with AI in cyber security:
1. Identify unknown threats
Cyber attackers don’t use the same tactics for a cyber threat. The techniques used by these attackers are constantly evolving, making it difficult for organizations to identify all potential threats. Therefore, it becomes essential to adopt AI solutions to identify and prevent unknown threats. These threats are able to cause significant damage if undetected.
2. Automating security task
You can also use AI to decrease the workload on your security teams, as it can reduce the workload by automating regular security tasks. Threat hunting, incident responses, updating security patches, and more are some of those tasks you can automate using this technology. This capability helps human cyber security experts to focus on more complex security tasks.
3. Cost-effective
You can make data collection faster by connecting cyber security with Artificial Intelligence (AI). It can make incident management responses more efficient and dynamic. Additionally, it eliminates the requirement for security experts to perform manual and time-consuming tasks. With this, they can aim for more strategic activities that include value to the organization.
Top applications of AI in cyber security
As you read in the previous section, AI can give countless benefits in the cyber security field. Its ability to perform a wide variety of tasks in this sector makes it more beneficial. So, let us take a look at the top applications of AI in cyber security:
1. Threat intelligence and analysis
Artificial Intelligence (AI) is capable of processing a wide variety of data from different sources to identify emerging threats and vulnerabilities. ML algorithms can find anomalies as well as patterns that potentially look similar to cyber threats. Due to the sheer volume and complexities of data, human cyber experts might find it difficult to identify these threats. On top of that, AI-driven threat intelligence can predict upcoming attack trends using past and current data to fortify your defense.
2. Vulnerability management
Vulnerability management is also essential for proactive cyber security. AI tools can provide you with continuous monitoring and scanning for security weaknesses within your system. When a vulnerability is detected within your system, these tools can give correction guidance, like modifying configuration or patch management. These tools also protect your system against known threats and potential upcoming vulnerabilities. This improves problem-solving ability and protects your business system quicker than cyber security experts.
3. Password protection
Most websites have features that allow their users to log in to make purchases or fill out a Contact Us form. These sites are usually at the highest risk of getting cyber attacks. Thus, protecting them is essential to keep their user’s data safe and prevent them from getting stolen. You can use AI to better protect passwords and secure your user account via authentication. AI tools, like CAPTCHA, fingerprint scanners, or facial recognition, help you to recognize whether an attempt into your service is real. These solutions prevent your organization from cybercrime tactics like brute-force attacks and credential stuffing. These tactics can put your whole business’s reputation at a serious risk.
4. Learn more over time
As we mentioned above, AI utilizes ML and deep learning technology to analyze network behavior and identify security incidents from the norms. It allows for instant response and boosts future security measures by restricting potential threats with similar threats. Its ability to learn constantly challenges attackers to beat this technology protection.
5. Endpoint protection
Endpoint protection is the method of securing computer networks and the devices that link them to cyber threats and malicious software. Mobile phones, tablets, and laptops are the prime examples of end-point devices. AI algorithms are the core component of modern endpoint security solutions. They can identify and flag unusual behavior that may indicate a threat within these devices by continuously monitoring endpoint activity. It often includes detecting zero-day exploits (vulnerabilities).
6. Response and mitigation
Threats can enter at any time of the day in your system. A human-mediated threat response can be sluggish, prone to mistakes, and may not always be effective. In contrast, AI-mediated threat response may lead to instant and effective action. Automated decision-making tools may instantly react to identified threats. In addition, AI’s ability to learn from previous incidents boosts the accuracy of its response over time. This makes it adaptable to emerging tradecrafts.
7. Malware detection
Malware, like a virus, is malicious software that can be installed on your device without your knowledge. It can destroy or harm a computer, server, or network in many ways. This can leak private information and gain unauthorized access to data stored in a system. Machine learning models of artificial intelligence can recognize the behavior of known malware strains and use them to detect mutated forms of malware. This technique is essential because malware developers constantly transform their software and use technology like encryption to evade detection.
8. Network security
Network security includes time-intensive procedure of developing policies and understanding the network topography. When policies are perfectly integrated, you can enact processes for finding legitimate connections versus those that may need inspection for malicious behavior. These policies are able to help you implement and enforce a zero-trust approach for cyber security. However, it requires an enormous amount of time and manual effort.
Usually, businesses do not deploy the correct naming convention for their applications and workloads. This means security teams may have to spend more time determining which workload belongs to particular applications. Artificial Intelligence (AI) can help you save your effort and time. It has the capability to learn your business’s network traffic patterns over time. This ability empowers this technology to recommend the right workloads and policies.
9. Duplicative process reduce
Artificial Intelligence (AI) also has the ability to handle monotonous and repetitive tasks that may cause cyber security experts to turn into complacent. It can detect and prevent basic security threats regularly and perform deep analysis to identify potential security weaknesses.
10. Remediation guidance
Generative AI, also known as Gen AI, can also boost the treatment of vulnerabilities, particularly in a fast-paced cloud-native environment. This revolutionary technology can automate the developing and prescriptive steps for addressing many security issues, like misconfiguration. It also boosts collaboration between the security team and developers. By offering contextual guidance, it empowers developers to effectively address security issues. It can reduce the Mean Time to Remediation (MTTR), which decreases the exposure to risk and boosts resilience to threats.
Conclusion
Artificial Intelligence (AI) has become a transforming technology that is streamlining and simplifying processes in countless industries. The cyber security industry is also among those industries where this technology is transforming technology. It helps cyber security experts to boost their efficiency towards the security of an organization. There are countless applications of using Artificial Intelligence (AI) in the cyber security field. From malware detection to automated processes and more, you can use this technology in several techniques of cyber security.
9 Comments