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Our Security of AI Papers and Blogs Explained

Anton on Security

Recently our team has written several papers and blogs focused on securing AI. Here are 5 gen AI security terms busy business leaders should know” defines five key generative AI security terms that busy business leaders should understand to navigate the potential risks and benefits of this technology.

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Security Risks of AI

Schneier on Security

Stanford and Georgetown have a new report on the security risks of AI—particularly adversarial machine learning—based on a workshop they held on the topic. Many AI products are deployed without institutions fully understanding the security risks they pose.

Risk 261
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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. Just recently, the UK government has been setting out its strategic vision to make the UK at the forefront of AI technology.

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GUEST ESSAY: Where we stand on mitigating software risks associated with fly-by-wire jetliners

The Last Watchdog

Here’s what you should know about the risks, what aviation is doing to address those risks, and how to overcome them. It is difficult to deny that cyberthreats are a risk to planes. Risks delineated Still, there have been many other incidents since. Fortunately, there are ways to address the risks.

Software 264
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Our Security of AI Papers and Blogs Explained

Security Boulevard

Recently our team has written several papers and blogs focused on securing AI. Here are 5 gen AI security terms busy business leaders should know” defines five key generative AI security terms that busy business leaders should understand to navigate the potential risks and benefits of this technology.

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Importance of AI Governance Standards for GRC

Centraleyes

The concept of “AI governance for GRC” presents an intriguing paradox. After all, isn’t GRC supposed to encompass governance, including overseeing AI systems? This seeming redundancy demands a closer look at the changing governance landscape in the AI era. Governance Redundancy?

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What is AI Governance? Principles, Types, and Benefits Explained

Centraleyes

This approach has the potential to significantly improve patient care by identifying high-risk individuals and optimizing treatment plans. What is Governance in AI? Artificial intelligence (AI) governance refers to the rules that ensure AI tools and systems are safe and ethical. Governance mitigates these risks.