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How AI-Driven Cybersecurity Drastically Impacts Our Lives

Smart Data Collective

One of the most impactful ways that AI impacts our lives is by improving our cybersecurity technology. Sridhar Muppidi, CTO of IBM Security, created a very insightful video about the benefits of AI in the field of cybersecurity. It highlights some of the most significant reasons that AI is changing the field of cybersecurity.

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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. Understanding the ”normal” tendencies allows banks to identify unusual behavior quickly. Cybersecurity is another significant concern as data privacy and GDPR grow more crucial.

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Big Data Makes Black Hat Hackers More Terrifying Than Ever

Smart Data Collective

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Hackers are also exploiting this technology, which means that there is a virtual arms race between cybersecurity companies and black hat cybercriminals.

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What Are the Most Serious Privacy Concerns Regarding Big Data?

Smart Data Collective

Considering the current state of cybersecurity, our future may very well resemble something out of an Orwellian nightmare. When we consider the privacy breaches made possible by big data insights and analytics, the gravity of the situation becomes even clearer. There seems to be a constant decline in online privacy.

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Experts Warn AI And Social Engineering Lead To New Digital Scams

Smart Data Collective

They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. The New Jersey Cybersecurity and Communications Integration Cell has warned that AI-driven cyberattacks are more dependent on social engineering than ever.

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The Future of AI in Healthcare: Trends and Innovations

Cprime

– AI is crucial in identifying and inventorying electronic PHI (ePHI), using deep learning to mimic trained humans’ abilities without cumbersome programming, and is necessary as traditional defenses are no longer sufficient against evolving cybersecurity threats. Can AI help with the predictive maintenance of medical equipment?

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Must-Have AI Features for Your App

Sisense

Safeguarding software and users: AI in cybersecurity apps. One of the most exciting AI use cases today is happening in the field of cybersecurity, where AI methods are now commonly used to detect malware and malicious virus code embedded in files before they can do harm to systems. Predictive analytics AI boosts web app performance.