Strengthening Cybersecurity with Artificial Intelligence

Several high profile cyber attacks over recent years have exposed the vulnerability of popular software and technology platforms. It highlights the need for stringent cybersecurity laws. Leading global organizations have strengthened the security of their systems to minimize attacks. AI mechanisms are emerging as the means to strengthen cybersecurity and thwart attacks.

Understanding the gravity of cyber attacks

Apart from monetary losses, cyber attacks damage a company's reputation too. It raises serious security concerns about the company and its risk management measures. Averting cyber attacks requires strategic planning and a skilled technical team. Over the years, we have witnessed several incidents of data leak from leading companies like Amazon and Facebook. Such incidents amplify the need for effective cybersecurity solutions.

AI and machine learning are next-gen technologies that have smart applications across industries. AI can transform cybersecurity systems to protect organizations from existing threats and identify new malware too. AI-powered solutions provide enhanced security mechanisms to prevent cyber attacks. Implementing AI-powered cybersecurity solutions can accelerate the growth of data-driven security models.

How Artificial Intelligence comes to the rescue?

As cyber attacks rise with each passing year, the need to implement a secure solution is critical. With AI coming into play, creating and managing a safe and secure environment becomes easy.

Let us look at how AI creates a difference in cybersecurity

1. Using biometric logins

Each person has a unique fingerprint, retina impression. Using these biometrics to log in securely into systems can ensure cybersecurity. Recently, several Amazon customers encountered a data leak that put question marks on Amazon’s security system. A statement issued by Amazon via The Guardian explained the issue and deemed it as a technical error. Amazon insisted that the situation is under control and asked customers not to change their passwords. However, Richard Walters, CTO of CensorNet, a cybersecurity firm, contradicted the statement.

A large number of Amazon customers have vulnerable passwords security. Due to several breaches in the past, their passwords are readily available on the dark web.

Using biometric authentication in addition to passwords can enhance the security of customer accounts that might contain sensitive information. AI-powered applications can scan fingerprints, retina, and palm prints to deny unauthenticated access.

Companies are now pushing for 2-factor authentication method to prevent data breaches. Since passwords are vulnerable to attacks, it could compromise the user's personal information, credit card information, and social security numbers. Biometric authentication can prevent such attacks and promote secure login.

2. Detect new malware and threats

Traditional cybersecurity methods are not able to detect and handle new varieties of malware. Reports suggest 845 million instances of malware detection in 2018. As of this year, about 10 million cases of malware attacks have been reported each month so far.

New age malware requires a new age solution. Therefore, cybersecurity firms are training AI systems to detect these new-fangled threats. A report published in Forbes magazine suggests that data security systems are being trained with several datasets that include AI algorithms and other codes.

Using such data, AI can perform pattern recognition to detect any anomalous behavior in software. It can enable systems to take early measures to nullify any potential attack.

In addition, AI and machine learning play a pivotal role in online security. Machine learning analyzes the path of a website to detect if it is linked to any malicious domains. AI-based systems can also detect malicious web files to isolate them preemptively.

3. Preventing attacks with conditional access

Organizations use traditional authentication methods to prevent sensitive data from intruders. However, when an employee with high authentication privileges accesses the data remotely, then it could be compromised using the network. To prevent this, cybersecurity teams use AI to build a global authentication framework. It is real-time and dynamic.

AI systems can use multipurpose authentication for this purpose. Systems also collect user information to analyze the behavior of users, networks, devices, or location. Upon analysis, AI can automatically change user's access privileges to prevent data on any remote network.

Conclusion

Since prevention is better than cure, having a solid defense system can shield businesses from potential threats. AI-powered systems instill a new belief in an organization's efforts to counter cyber attacks effectively. With the growth in number and types of attacks, AI and machine learning create a secure system to deny malicious access.

More applications of AI in cybersecurity solutions have come to the picture. With several big companies already implementing it in their system, fight against new age cyber attacks is on.

At Oodles AI, we build a secure system with AI integrations

We have a team of professionals to redefine your traditional cyber security methodologies. We have experience in building real-life AI-powered applications to support the organization's growth. As AI is becoming the hotspot in every sector, you can also avail its innovative aspects to fortify your business security.

Don't wait any longer. Join hands with us to make your AI vision a reality.

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