The advanced collaboration of Artificial Intelligence and cyber-security can help combat the increasing cyber-attacks
With the dawn of advanced deep tech, the preference for AI is making the digital transformation across businesses interesting. This digital era is seeing a surge in cyber-attacks globally. As a result, more CISOs are trying AI-powered cyber-security programs to mitigate the risks.
Lately, AI and ML are widely in use for cyber-security technologies – as they help in advancing the capabilities of the traditional approaches. As per experts, AI could add immense value to the future of cyber-security – especially in digital transactions, personal data protection, and confidentiality.
Identifying Cyber Threats
Currently, most financial organizations are putting manual cyber-security professionals to identify the users’ location while they log-in (from their home locations). Derived from the data from the devices, the security teams make manual checks with people to ensure security.
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Soon, AI is most likely to take over this process, and will most likely include device-based, location-based, and automated confirmations from the users.
Lately, the advancements of AI and ML implementation are being tested across enterprises. After proper coding, the AI algorithms are being used to identify different ransomware and malware attacks in the system.
With individual data and privacy at risk, the role of AI in businesses has gone beyond its primary technological capabilities. Furthermore, many data security experts believe AI can detect the abnormalities in compound systems with new algorithms and NLP, foreseeing the future wave of cyber attacks before they take place.
Preventing Cyber-attacks
In many cases, alongside prediction, the ML algorithms were found to take necessary actions for preventing future attacks. Spotting the potential loopholes and risk instances of fraudulent online activities is the initial step of AI intervention in combating cyber attacks.
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Even the RPA tools can help in identifying fraudulent activities in businesses. As of now, enterprises are setting up bots to trigger alerts in case of unusual or suspicious activities. The irregular actions are being flagged, and even the user/ threat actors are blocked – as or when required.
With the technology becoming more stable, these strategies are widely used by many cyber firms as the traditional approach to security lags behind while analyzed. Still, it is essential to deploy them with cyber-security intelligence that works in partnership with human intelligence. Clearly, the innovative collaboration of AI and cyber-security is indicating an optimistic wave of security solutions for the modern world.
