AI Cyber Security Applications For Businesses
Cybercriminals’ activities are becoming more sophisticated – perfectly planned, multi-stage, and long-lasting. Currently, hackers have a specific target. Cyber security is most often the theft of sensitive personal data or valuable information that may be used, for example, by competitors. Hackers are using sophisticated methods to bypass firewalls and access systems.
For this reason, companies must focus on methods that will effectively help them counteract attacks. The answer is AI and ML – one of the fundamental technologies determining the security of enterprises.
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Artificial Intelligence in cyber security
There is no doubt that AI plays a massive role in cyber security. AI-based systems help you:
- Maintain the security of networks, data, and systems
- Keep up with new hacking methods
- Take a quick response to threats
- Predict possible attacks
Despite its many advantages, AI in cyber security also has its drawbacks. Many different sets of malware, non-malicious, and anomalies, are needed to train AI systems. Obtaining this data is time-consuming and, let’s face it, requires a financial investment. Without this data, AI-based systems can generate incorrect results and false positives.
4 AI cyber security applications
Artificial intelligence is gaining value every year in the development of cyber security. AI algorithms are used to protect entire corporate networks against attacks. Today, artificial intelligence enables you to analyze enormous amounts of data instantly. In addition, it allows for not only detection but also the prediction of incidents based on modeling risk factors.
DETECTION OF NEW CYBER THREATS
Hackers’ attack methods change regularly as they follow the latest trends and techniques. Traditional software systems may struggle to keep up with cyber threats, so companies use artificial intelligence to detect them. AI-based cyber systems monitor the behavior and identify user patterns. Their purpose is to identify unusual activities and alert security teams. These systems see malicious attacks and software before they enter the system. What’s more, they provide information about the industry and global threats.
DEALING WITH MALICIOUS BOTS
Nowadays, a considerable part of online traffic is made up of bots. A bot is usually a piece of software designed to perform repetitive tasks in a short time. It is based on an AI algorithm, and its purpose is to imitate human behavior and map it on the Internet. Some of them can be dangerous to businesses. Examples of threats from bots include:
- Fake account creation
- Data frauds
- Taking over accounts by stealing passwords
Both AI and ML can deal with these automatic threats. They help understand website traffic patterns and distinguish intelligent bots from malicious ones.
PROTECTION OF ENDPOINT
Now that remote work has become commonplace for many, endpoint protection is essential for any business. Tablets, smartphones, laptops, and notebooks are very vulnerable to cyber-attacks. Of course, you can protect yourself against malicious attacks using solutions such as antivirus and VPN. However, they only work based on signatures. This means that they are unable to stay protected against the latest threats. If a new type of malware attack occurs, the antivirus will not be able to deal with it. All AI-based programs can identify behavioral patterns, time zones, and geolocation to detect suspicious activity.
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BREACH RISK PREDICTION
It includes IT asset inventory, threat exposure as well as control effectiveness. Regarding all these factors, AI-based systems help predict where and how companies will be attacked. This is essential information for organizations as it allows them to plan and deploy tools in vulnerable areas. So, by implementing AI-based insights, you can enhance controls and processes to strengthen your cyber resilience.
Companies using AI in cyber security
The tremendous potential of AI for securing company systems has already prompted many reputable organizations to incorporate AI into their cyber security plans. Google, Juniper Networks, and IBM are some companies that use AI in cyber security.
The company uses deep learning on the Cloud Video Intelligence platform and Gmail. In the former case, AI algorithms analyze the content of the videos and send an alert if it detects a threatening anomaly. In the second case, the training systems block spam in the mail.
It is a company that uses machine learning in its cognitive training to identify threats. Furthermore, AI helps determine security risks and reduces time spent on threat research.
This company develops autonomous AI technologies to provide more secure and efficient networks.
Conclusion – improve your cyber security using AI.
Despite several disadvantages, AI in cyber security improves many companies’ security. Using artificial intelligence and machine learning gives us a powerful weapon in the fight against hackers. It’s worth taking advantage of this technology as it automates tedious tasks, improves remote worker security, and learns and adapts to new cybercrime tactics.