Protecting Sensitive Data: Cybersecurity in 2019

By CIOReview | Tuesday, February 5, 2019

In 2019, IT security will not just be about protecting sensitive data and keeping hackers away from the systems. At a time when data cooperation may lead to huge business opportunities and scientific-medical breaks in the field of data and artificial intelligence, security also needs to be focused on enabling companies to exploit, collaborate, and exchange information without exposure to privacy violations, the abandonment of intellectual property rights or abuse of data. The most sensitive data or privacy cannot be secured by cybersecurity alone. Information should not be limited to cyber or regulation but should be protected and implemented by technology itself.

The number of attacks co-ordinated to the use of AI/machine learning will increase in 2019. AI will examine the options available for exploiting the attacks and develop strategies to increase the number of successful attacks. AI also learns how defense strategies can be identified through the pattern of available exploits and how to integrate information collected from successful hacks. This can lead to attacks that are considerably more difficult to defend against.

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With time, companies and organizations are exploring ways of using AI's power to proactively address a wide variety of challenges. Cybersecurity is one of the areas in which AI can change the field. The use of AI enables enterprises and federal agencies to both understand and proactively mitigate cyber threats. In contrast, hackers in cyberspace are a little ahead of AI in compromising business systems and stealing information or money. Their AI prowess came to light when Bangladesh Bank was cyber-attacked, and hundreds of bank accounts worldwide were retrieved with funds. 

ML and AI can provide human operators with knowledge and design. Use of technology like ML and AI allows operators to reverse engineer attacks and enhance systems so that operators can simply respond to any incident and, instead, figure out how to address and to prevent it from happening again. Organizations also use cybersecurity technologies based on AI to accelerate incident detection. This leads to an improvement in the correlation, curation, and enhanced safety alerts.