Artificial Intelligence and Machine Learning: A Challenge to Cybersecurity Threats


Posted January 4, 2022 by Cegura

As AI grows in popularity and importance, we must consider it in the context of cybersecurity — how can we protect ourselves and prevent cyber-attacks as AI advances?

 
23rd November, India-

Cybersecurity is a hot topic of discussion these days, attracting the attention of the majority of businesses and resulting in various approaches to data protection. Because of the global availability of Internet services, vulnerabilities are being exploited in increasingly sophisticated ways by a growing number of malicious actors across a wide range of industries, including insurance, healthcare, finance, high-frequency trading, machine learning, and artificial intelligence (AI) in cybersecurity.

Artificial intelligence and machine learning algorithms are widely regarded as important tools for protecting users and organizations from modern cyber-attacks.

Will AI and machine learning actually improve cybersecurity?

The Internet of Things (IoT) allows system access via the internet, which increases data storage and poses a greater risk to each individual. This generates a massive amount of data, making monitoring time-consuming.

To replace the old signal monitoring procedure, a new approach to cyber-attack detection and response is being developed. It will aid in the rapid processing of large amounts of data and the detection of suspicious activity.

How effective are AI and machine learning in improving cybersecurity?

Despite the fact that we have sophisticated advanced cybersecurity tools, we still breach data, which poses a risk of detection, investigation, and damage remediation by security managers.

Artificial intelligence (AI) is the science of creating machines that can mimic human intelligence. It involves a variety of technologies, some of which are already in use and others which are in the early stages of development.

Machine learning is an AI component that employs mathematical algorithms to predict patterns and attempts to learn from those patterns. We use machine learning to interpret anomalous behavior of users and systems in order to identify potential threats that may arise from a variety of sources. Supervised and unsupervised learning contribute to the advancement of cyber security developed using machine learning algorithms.

Conclusion:

To solve the Cybersecurity problems with AI and ML, we require the experts like Cegura Technologies. Call us today!

About the Company: Cegura Technologies, a leader in business process management (BPM) and optimizing the customer experience lifecycle, was founded in 2012. Our unwavering commitment to technology, automation, and innovation in the pursuit of process and delivery excellence has aided clients in achieving growth and business transformation.

https://www.cegura.com/
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Issued By Cegura
Phone +44 2036306666
Business Address 20-22 Wenlock Road, London, N1 7GU
Country United Kingdom
Categories Business
Tags cybersecurity
Last Updated January 4, 2022