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LRQA Nettitude’s Approach to Artificial Intelligence

LRQA Nettitude Labs

In addition to the topics below that you can expect to see reviewed and discussed in the forms of blog posts or webinars, LRQA Nettitude would also like to extend an open invitation for feedback and collaboration.

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Encryption trends and predictions over 50 years

Thales Cloud Protection & Licensing

Modern encryption can trace its root back to before WWII when Alan Turing built a modern computer in order to break the Enigma. Encryption went from being a technology predominantly used in highly classified, mission critical applications to a foundational component used in almost all aspects of our lives. So now what?

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Digital Risk Types Demystified: A Strategic Insight into Online Threats

Centraleyes

Illustration : Amazon’s retail transformation illustrates the benefits of data-driven personalization. Leveraging analytics and artificial intelligence, Amazon curates personalized shopping experiences for customers, setting a new standard for convenience and customer satisfaction.

Risk 52
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SHARED INTEL Q&A: My thoughts and opinions about cyber threats — as discussed with OneRep

The Last Watchdog

OneRep provides a consumer service that scrubs your personal information from Google and dozens of privacy-breaching websites. Here is Erin’s Q&A column, which originally went live on OneRep’s well-done blog.) For the first expert interview on our blog, we welcomed Pulitzer-winning investigative reporter Byron V.

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The Rise of the Sovereign Cloud

Thales Cloud Protection & Licensing

This brings us to the era of digital sovereignty, in which an increasing number of countries are adopting laws and regulations designed to protect the data privacy by defining how it can be securely collected, stored, and used. Countries, companies, and individuals have their own reasons why data deserves sovereignty and protection.

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A Pandora's Box: Unpacking 5 Risks in Generative AI

Thales Cloud Protection & Licensing

AI Hallucinations: These are instances where artificial intelligence systems generate outputs that are not grounded in reality or are inconsistent with the intended task. Such breaches jeopardize privacy and expose enterprises to regulatory penalties, legal liabilities, and reputational damage.

Risk 71
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A Pandora’s Box: Unpacking 5 Risks in Generative AI

Security Boulevard

AI Hallucinations: These are instances where artificial intelligence systems generate outputs that are not grounded in reality or are inconsistent with the intended task. Such breaches jeopardize privacy and expose enterprises to regulatory penalties, legal liabilities, and reputational damage.

Risk 67