The cyberattack space is huge and continues to rapidly evolve. For this reason, cybersecurity has become an integral part of every business plan. With cybercrime on the rise, it’s undeniable that organizations need more than just human intervention to mitigate risk.
Due to these challenges, artificial intelligence and cybersecurity become the primary focus of enterprise technology. AI for cybersecurity can help teams eliminate data breaches and strengthen their security measures.
AI was designed to mimic human intelligence and automate tasks that require 24/7 human oversight and intervention. If used well, it can analyze many events to detect different types of cyber threats – from phishing attacks for malware, ransomware, and zero-day vulnerabilities. These technologies are constantly learning by using data from past cyberattacks to identify potential threats.
This article looks at benefits of artificial intelligence in cybersecurity.
Network traffic monitoring
An organization network handles many activities and there is a huge amount of data exchange between companies and their customers. This sensitive data requires adequate protection against hackers and other malicious access.
However, IT security personnel cannot independently analyze all of this traffic. AI for cybersecurity can help you identify threats disguised as normal traffic. Unlike humans, AI can process and analyze a large amount of data more thoroughly and in a shorter time.
With the pace at which cyber threats evolve, it is a fact that traditional rules-based security systems cannot keep up. This is where AI systems come in. AI technologies are equipped with advanced algorithms to detect malware activities, perform pattern recognition, and identify abnormal behavior before compromising the system.
Artificial intelligence has superior predictive intelligence with natural language, image and other digital data processing capabilities that enable it to procure data on its own through web scraping. This intelligence can provide security teams with knowledge of the latest attacks to create a better cybersecurity plan.
Good vulnerability management is the best way to secure an organization’s network. As mentioned earlier, a large amount of traffic passes through an organization’s network and it becomes imperative to detect, identify and prevent this traffic from reaching malicious people.
Unlike human security personnel, AI can quickly learn network behavior to identify the weak point in the system so organizations can focus on ways to mitigate those risks. This can help improve vulnerability management and the organization can secure network systems in time.
AI systems can help determine your IT asset inventory, a documented record of all tangible and intangible assets. Cybercriminals always try to target these assets. With the help of AI in cybersecurityyou can predict how and when a cyberattack will occur and plan accordingly to allocate resources to the most vulnerable areas.
Better endpoint protection
The number of gadgets we use in our workplace is rapidly increasing and it is becoming impossible for cybersecurity personnel to keep up. Artificial intelligence has a vital role to play in securing devices. VPNs and antivirus solutions can protect your system against malware and Ransomware based on known signatures. However, to protect your systems against new threats, you must stay up to date with signature definitions.
This can pose a significant threat if your virus definition is lagging due to an update failure. In such cases, signature-based protection may not be able to protect you against new malware threats. But, use AI for cybersecurity will help you create a baseline that defines anomaly behavior for endpoints.
AI reports any activity that deviates from this baseline and takes appropriate action. He can report unusual activity to the appropriate security personnel. So rather than waiting for signature updates as with antivirus solutions, AI takes a proactive threat prevention approach.
Reduction of duplicate processes
Cybercriminals are constantly looking for new ways to attack organizations and compromise their network resources. More often than not, we use the same basic security practices every day. Human security personnel may become bored or fatigued and miss a critical network update, exposing your network to threats.
AI was developed to mimic the best of human qualities while eliminating flaws. This allows the AI to take care of duplicate processes that could strain your security staff. It performs regular security checks to identify and prevent cyber threats.
When an attack occurs, organizations need to react quickly to reduce risk and damage. A manual incident response strategy slows threat detection and required response, putting customer data at risk. However, an automated AI response can monitor millions of security activities daily, understand threat patterns, and respond to critical events faster than cybersecurity personnel.
With automated AI-powered incident response, you can prioritize incident response events and ensure you have the resources you need first.
Is AI still effective in cybersecurity?
The use of AI in cybersecurity is mostly effective. It can help scan huge amounts of data quickly to detect and prevent unauthorized access before cybercriminals can do any harm. Plus, AI systems are always on their toes, using predictive techniques to identify threats and prevent them from compromising your network.
However, there is debate in the field about the effectiveness AI in cybersecurity is exactly. The problem here is that sometimes small but precise data turns out to be more effective in practice (data-centric AI). You don’t always need massive volumes of information to create accurate models. In fact, more often than not, large datasets can cause AI systems to produce false positives and incorrect results.
According to American data scientist Andrew Ng, in some industries that don’t have the luxury of large datasets, it’s better to focus on “good data” rather than “big data”.
How do bad actors take advantage of AI?
AI is a double-edged sword that enables malicious threats and also prevents cyber crimes. Malicious hackers can take advantage of AI tools to improve the accuracy and efficiency of their attacks. They can use AI to circumvent detection by learning the most common detection rules. Fuzzing is one of the standard techniques used by cybercriminals to expose weaknesses in software and exploit them.
Using AI can improve the accuracy and precision of the attack, resulting in more devastating damage. Additionally, cybercriminals can use AI to enhance phishing attacks. When AI triggers a phishing attack, cybercriminals can only extract the necessary information, making malware difficult for traditional security solutions to detect.
AI is rapidly evolving and becoming a must-have technology for all companies looking to improve their cybersecurity plan. The Cyberattack Landscape is Growing and Humans Cannot Succeed prevent enterprise-level attacks. In addition to this, cybercriminals are also adopting AI in their practices.
The use of AI in cybersecurity provides more information and improved threat identification that security personnel can use to reduce data breaches and strengthen their security plans. Now is the time to take a decisive step towards use AI for cybersecurity to improve your IT infrastructure.
*** This is a syndicated blog from the Security Bloggers Network of EasyDMARC written by Knarik Petrosyan. Read the original post at: https://easydmarc.com/blog/7-benefits-of-using-ai-for-cybersecurity/