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What is Data Security? |Threats, Risks and Solutions 

Analytics Vidhya

These alarming numbers underscore the need for robust data security measures to protect sensitive information such as personal data, […] The post What is Data Security? Threats, Risks and Solutions appeared first on Analytics Vidhya. According to recent reports, cybercrime will cost the world over $10.5

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Patient data is at greater risk than ever. AI can help

CIO Business Intelligence

Sensitive personal and medical information can be used in multiple ways, from identity theft and insurance fraud to ransomware attacks. The risks and opportunities of AI AI is opening a new front in this cyberwar. Patient data represents a treasure trove for hackers. The good news is that AI can be used to improve security.

Risk 122
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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Demographics.

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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. Today, it is, as they create a mysterious new risk and attack surface to defend against.

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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business. For instance, adversarial attacks can be used to trick AI systems into revealing sensitive information.

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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Methods by which the AI provider manages and mitigates risks identified via Red Teaming, including their effectiveness. Operational Metrics.

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Data Security Unveiled: Protecting Your Information in a Connected World

Smart Data Collective

This article will provide you with more information about it. By doing so, especially on a site without solid data security measures in place, you leave yourself vulnerable to theft and other assaults. Information or data that has been secured against tampering or disclosure by unauthorized parties. Keep reading below.

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