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Top 5 Risks of Artificial Intelligence

IT Security Guru

Artificial intelligence (AI) technology functions in a manner that helps ease human life. Through AI-enabled systems, different industries have been able to minimize human error and automate repetitive processes and tasks while smoothly handling big data. Discussed below are the top five risks of artificial intelligence.

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Navigating AI Regulations in the Insurance Sector: A Comprehensive Guide

Centraleyes

The insurance industry is built on handling our own and everyone else’s risks. As artificial intelligence shatters glass ceilings, the risks it introduces present a new paradigm to the insurance market in many different areas. The law aims to harness AI benefits while mitigating risks. Ready for some more numbers?

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Exploring Cybersecurity Research Topics for Master’s Degree Studies

CyberSecurity Insiders

As the field of cybersecurity continues to evolve and expand, pursuing a Master’s degree in this discipline offers an opportunity to delve into cutting-edge research and contribute to the advancement of knowledge in this critical area. Blockchain and Cybersecurity: Investigate the use of blockchain technology in enhancing cybersecurity.

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Fintech Cybersecurity Trends in 2021

Security Boulevard

Now, cybersecurity may just be the most important aspect of financial technology (fintech) in the modern world. With 2020 being the worst year on record in terms of files exposed in data breaches , a thorough security approach is necessary to combat modern dangers. Fintech relies on cybersafety more than any other digital platform.

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UK’s NCSC Warns Against Cybersecurity Attacks on AI

Tech Republic Security

The National Cyber Security Centre provides details on prompt injection and data poisoning attacks so organizations using machine-learning models can mitigate the risks.

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Cyber Security Combo: Big Data, Machine Learning and AI

Spinone

From identity theft to credit card numbers being taken away, Machine Learning and Artificial Intelligence play an instrumental role in establishing new standards for cyber security. While the potential of Big Data is vast, it might lag behind as a standalone tool to deal with hackers due to the enormous volume of data to analyze.

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News alert: AI-powered web scrapers from Oxylabs are breaking new ground in fraud detection

The Last Watchdog

“Enterprises in the finance, banking, and telecommunications sectors are the most susceptible to online fraud, but it can happen to any company,” said Vaidotas Sedys , Head of Risk Management at Oxylabs. ML algorithms scan thousands of transactions, identifying hidden correlations or patterns, an impossible task for human risk analysts.