Remove tag risk-based-approach
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Historic Charges: First Enforcement Action Filed by New York Department of Financial Services Under Cybersecurity Regulation

Data Matters

On July 21, 2020, the New York State Department of Financial Services (NYDFS or the Department) issued a statement of charges and notice of hearing (the Statement) against First American Title Insurance Company (First American) for violations of the Department’s Cybersecurity Requirements for Financial Services Companies, 23 N.Y.C.R.R.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

It might answer questions about local culture and geography, even personalizing them based on the passenger’s interests. It might suggest a restaurant based on preferences and current popularity. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

Threat intelligence feeds are continually updated streams of data that inform users of different cybersecurity threats, their sources, and any infrastructure impacted or at risk of being impacted by those threats. The massive, crowdsourced approach OTX takes limits the possibility of effective quality assurance.

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Ransomware Protection in 2021

eSecurity Planet

Below we outline 18 industry tips for actions you can take to reduce your risk of a ransomware attack: Action. The next three actions: prioritize assets and evaluate traffic, microsegmentation, and adaptive monitoring are central steps of the zero trust architecture and greatly reduce your risks of an attack. Description. Spam Filter.

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The most valuable AI use cases for business

IBM Big Data Hub

Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately.

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Best practices for hybrid cloud banking applications secure and compliant deployment across IBM Cloud and Satellite

IBM Big Data Hub

Financial Services clients are increasingly looking to modernize their applications. Moreover, many of these financial services applications support regulated workloads, which require strict levels of security and compliance, including Zero Trust protection of the workloads.

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