Remove category Artificial Intelligence
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Tackling Cyber Threats: Is AI Cybersecurity Our Only Hope?

Jane Frankland

Could artificial intelligence (AI) be the key to outsmarting cyber threats in an increasingly connected world? This is what I’ll be delving into in this blog, where I’ll be exploring how these two fields are intersecting and what that means for our digital landscape. Is it our only hope for survival?These

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Effective AI Regulation Requires Adaptability and Collaboration

Security Boulevard

(AI) Fork in the Road Artificial intelligence (AI) regulation stands at a pivotal juncture. We consider the implications not only on proposed policy, but on the very real fact that policy alone will not solve the rising dilemma of fully autonomous and intelligent malware.

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SHARED INTEL: VCs pumped $21.8 billion into cybersecurity in 2021 — why there’s more to come

The Last Watchdog

Nearly every cybersecurity startup pitched to our fund promises artificial intelligence built into their software, powered by data science trained on cybersecurity data. These pitches fall into two categories: pre-product companies and companies with working prototypes of their solutions. Leveraging data science.

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PACMAN, a new attack technique against Apple M1 CPUs

Security Affairs

The technique was discovered by researchers at MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL), Joseph Ravichandran , Weon Taek Na , Jay Lang , and Mengjia Yan. Please vote for Security Affairs and Pierluigi Paganini in every category that includes them (e.g. To nominate, please visit:?.

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Technology’s contributions toward safety in healthcare

CyberSecurity Insiders

This blog was written by an independent guest blogger. Right now, modern tech is pushing the envelope of what is possible in the doctor’s office and the patient’s home, as telehealth and artificial intelligence transform the landscape of medical care. Enhancing diagnostic and treatment potential.

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Digital Risk Types Demystified: A Strategic Insight into Online Threats

Centraleyes

Leveraging analytics and artificial intelligence, Amazon curates personalized shopping experiences for customers, setting a new standard for convenience and customer satisfaction. This section seeks to objectively explore specific categories of digital risks, unraveling strategic approaches to mitigate them effectively.

Risk 52
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Introduction to the NIST AI Risk Management Framework (AI RMF)

Centraleyes

Recognizing and harnessing the opportunities embedded in AI systems are integral components of the NIST Artificial Intelligence Risk Management Framework. Bias categories—systemic, computational and statistical, and human-cognitive—highlight the multifaceted nature of bias.

Risk 52