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New York Department of Financial Services Issues First Guidance by a U.S. Regulator Concerning Cyber Insurance

Data Matters

On February 4, 2021, the New York Department of Financial Services (NYDFS) issued Circular Letter No. 2 announcing a Cyber Insurance Risk Framework (the Framework) that describes industry best practices for New York-regulated property/casualty insurers. Insurers should: Establish a Formal Cyber Insurance Risk Strategy.

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New York Regulators Call on Insurers to Strengthen the Cyber Underwriting Process

Hunton Privacy

As reported on the Hunton Insurance Recovery blog , on February 4, 2021, the New York Department of Financial Services (“NYDFS”), which regulates the business of insurance in New York, has issued guidelines, in the Insurance Circular Letter No. sought coverage for expenses under its property insurance policy.

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6 best practices for a data governance strategy

Collibra

This will help you test strategies and figure out what works best in your unique environment. We’ll discuss what we think are the six best practices for a data governance strategy below. This requires educating them on the value of data governance and communicating how it affects their everyday lives. Operating model example.

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CyberheistNews Vol 13 #13 [Eye Opener] How to Outsmart Sneaky AI-Based Phishing Attacks

KnowBe4

Remember: Culture eats strategy for breakfast and is always top-down. This data makes it clear that security awareness training designed to educate users on the need to be continually vigilant, regardless of the device, is critical to an organization remaining protected against attacks. Don't get caught in a phishing net!

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The Week in Cyber Security and Data Privacy: 12 – 18 February 2024

IT Governance

Welfare Benefits Plan Source 1 ; source 2 New Healthcare USA Yes 13,079 Insurance ACE/Humana Inc. Source New Manufacturing USA Yes 20,415 TECA Srl Source New Transport Italy Yes 16.7 GB AGC Flat Glass North America, Inc.

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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

Instead of forcing the customer to communicate in your home language, enterprise-grade chatbots can support multiple languages and can even make an educated guess based on the initial input, whether it’s in chat, text or voice. Offer self-service options Customers often prefer to complete simple tasks independently.

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Conversational AI use cases for enterprises

IBM Big Data Hub

This data can be used to better understand customer preferences and tailor marketing strategies accordingly. Banking and financial services: AI-driven solutions are making banking more accessible and secure, from assisting customers with routine transactions to providing financial advice and immediate fraud detection.