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Best Facial Recognition Software for Enterprises In 2022

eSecurity Planet

Facial recognition software (FRS) is a biometric tool that uses artificial intelligence (AI) and machine learning (ML) to scan human facial features to produce a code. With all the gathered data on facial recognition technology, it indeed offers significant potential for the security aspects of enterprises.

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Finding a needle in a haystack: Machine learning at the forefront of threat hunting research

SecureList

ML, a subset of artificial intelligence (AI), with its ability to process and analyze large datasets, offers a powerful solution to enhance threat detection capabilities. com Telecommunications microsoftdesktop[.]com However, the sheer volume and complexity of logs often make them challenging to analyze effectively. fun sodog[.]life

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The Essential Guide to Horizon Scanning in Compliance and Regulatory Frameworks

Centraleyes

Government policy changes related to data privacy, cybersecurity, sustainability, and more. Use Technology to Stay Informed Utilize data tools and platforms to track changes in regulations and compliance standards. This can involve monitoring: Regulatory bodies for updates on rules and guidelines.

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Top 18 Cybersecurity Startups to Watch in 2021

eSecurity Planet

Darktrace‘s Cyber artificial intelligence (AI) platform detects and fights cyber threats in real-time. It combines the talents of IT specialists from the University of Cambridge with intelligence experts from MI5. Cybereason also made eSecurity Planet ‘s list of top EDR solutions. Darktrace – Threat detection.

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AI Everywhere: How High-Performance CPUs are Revolutionising Business Performance, Efficiency & Security

Jane Frankland

And at the heart of this much to do transformation lies the disruptive potential of Artificial Intelligence (AI) – an evolving technology that’s set to be embedded everywhere, grow at a CAGR of 36.6% and be worth around $2 trillion by 2030.

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Key Cybersecurity Trends for 2024: My Predictions

Jane Frankland

These include the adoption of hyper automation and artificial intelligence (AI)-driven decision making, where organisations will increasingly use automation technologies and artificial intelligence to streamline processes and enhance efficiency.