Emerging cybersecurity trends using AI to combat cyber challenges and ensure privacy

We are so reliant on technology that it’s become integral to our modern-day life – one that will only get more advanced and sophisticated with time and naturally lead to the influx of data. Data is core to serving business needs, and a large amount is generated by implementing booming new-age technologies such as IoT and cloud computing. With this massive amount of sensitive data and information comes the risk of cyberattacks which often pose major challenges. Cybercrimes not only affect organizations and individuals, cause disruptions but also pose a risk for devastating financial losses. With advancing technology, cyber-crimes are also growing exponentially, and the need of the hour is to leverage technology to ensure privacy.

Despite significant investments in developing security technologies, organizations continue to struggle with security breaches today. The internet age has repeatedly proved the importance of using AI to enhance our experiences, and it is increasingly emerging as a much needed cybersecurity toolkit in the current times. AI is bolstering cybersecurity in multiple ways – helping automate multiple tasks that would be difficult to pull off manually. These include automatically detecting everything on a network from unknown workstations to servers to code repositories and other hardware and software. Furthermore, AI is making a stride and helping in determining how best to allocate security defenses and detect patterns within huge quantities of data more efficiently and effectively. Cyber AI technology and tools are in the early stages of adoption; the global market is expected to grow rapidly, approximately by US$19 billion between 2021 and 2025.

Cybersecurity has become more complex with organizations moving portions of their data to the cloud. The initial hesitation of enterprise organizations about moving to the cloud was met by data centers improving networking security, while the cloud software providers, increased software security. AI-enabled Hybrid cybersecurity solutions are specifically designed for the cloud, these can monitor and analyze data across multiple environments.

In recent years, AI has emerged as pertinent technology in terms of augmenting the efforts of human information security teams. Thus, aiding humans to scale to protect the dynamic enterprise attack surface adequately, AI provides much-needed analysis and threat identification that cybersecurity professionals can act upon to reduce breach risk and improve security posture. In security, AI can identify and prioritize risk, instantly spot any malware on a network, guide incident response, and detect intrusions even before they start.

The future of consumer cybersecurity is unimaginable without AI, especially considering the scale and threat of social engineering and IoT malware. AI grants cybersecurity teams to develop robust human-machine alliances that drive the boundaries of our understanding, enhance our lives, and push cybersecurity in a way that seems greater than the sum of its parts.



Views expressed above are the author’s own.


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