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Taxonomy of Generative AI Misuse

Schneier on Security

Interesting paper: “ Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data “: Generative, multimodal artificial intelligence (GenAI) offers transformative potential across industries, but its misuse poses significant risks.

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Artificial Intelligence can detect Kidney Failure with Retina Scan

CyberSecurity Insiders

We all know that the technology of Artificial Intelligence if/when used by right minds, can yield results that can prove as a boon to mankind. Unlike the present day, where patients must go through radiation risks and time taking blood tests for the detection of a disease. .

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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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Artificial Intelligence: The Evolution of Social Engineering

Security Through Education

From traditional methods to the integration of artificial intelligence (AI), malicious actors continually adapt and leverage emerging tools to exploit vulnerabilities. Adapting to AI: Social engineering continues to evolve with the integration of AI , presenting new challenges for corporations.

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Why Businesses Must Address Risks of Quantum Computing NOW Rather Than Wait Until Problems Arrive

Joseph Steinberg

There is little doubt that quantum computing will ultimately undermine the security of most of today’s encryption systems , and, thereby, render vulnerable to exposure nearly every piece of data that is presently protected through the use of encryption. This post is sponsored by IronCAP.

Risk 338
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Artificial Intelligence: The Key to Self-Driving Identity Governance

Security Boulevard

Faster regulatory compliance, lower costs, and substantially reduced risk. . Artificial intelligence (AI) based on machine learning (ML) is the ideal foundation for automating identity governance. Leveraging ML, it can automate approvals of low-risk, high-confidence users. The result?

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Ransomware Hits Maine Sewage Treatment Plants, Sounding The Alarm About Dangerous CyberSecurity Risks At America’s Many Small Critical Infrastructure Providers

Joseph Steinberg

Even if major essential service providers were to perfect their own cybersecurity operations, large numbers of smaller providers – sometimes functioning on just municipal scales – can still pose serious risks to life, health, safety, and property if they are not adequately protected against cyber threats.

Risk 246