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What Does the Future of Cybersecurity Look Like?

By CIOReview | Monday, March 16, 2020

The cybersecurity landscape is likely to transform itself in the next five years, after which it will also be driven by the new-age, transformative technologies.

FREMONT, CA: In the past few years, cybercrime has evolved into an essential strategic risk facing the world in the present day. Almost every technologically developed state and its emerging economy have made their objective to mitigate the impact of financially stimulated cybercrime.

The experience throughout the world has increasingly been dominated by the appearance of a professional underground economy, which offers scale, essential return-on-investment, and entry points for hackers to a small scale crime into a global volume one. The landscape of cybersecurity in the past has been shaped by the aiming of financial institutions, particularly with malware, to harvest payment details and aim for a commercial platform. The first marketplace for cybercrime gave rise to an online criminal ecosystem gradually and focused on the breach and manipulation of the global payment systems though their internal networks.

Artificial intelligence (AI) is a crucial component when it comes to building global immunity in the world from attacks. It also needs to include the creation of cyber defences efficient enough to operate at any scale and at any speed that is required in order to protect digital prosperity. If provided with the requirement for huge efficiencies in discovering, along with real-time remediation of threats, AI-driven solutions and automation can become the real future of cybersecurity.

Significantly, the experience of cybercrime so far reflects that any technological advancement in AI can quickly be seized upon and taken advantage of by the criminal community, bringing completely new challenges in the world of cybersecurity in the international threat landscape.

To fight all such emerging threats, biometrics can also be considered as a widely implemented technology, in different industries, having various aims round-the-world. Whereas, at the same time, it also helps in elevating critical challenges that come under the global security comm. The next-gen authentication and biometrics need to have high volumes of data concerning the individual, along with his/her activity and behaviour. Any slightest deviation in movements and behavioural traits such as voices or faces needs to be stored in order to stay safe from the possible targets of the cybercriminals and their attempt to disturb the personal data.

See also: Top Artificial Intelligence Companies