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AI Governance: Break open the black box

IBM Big Data Hub

Multiple unsupported tools for building and deploying models. Well-planned and executed AI requires reliable data backed by transparent, automated tools and explainable processes. AI governance is an overarching framework that uses a set of automated processes, methodologies and tools to manage an organization’s use of AI.

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Enterprise SIEMs Miss 76 Percent of MITRE ATT&CK Techniques

eSecurity Planet

.” The Third Annual Report on the State of SIEM Detection Risk by detection posture management vendor CardinalOps is based on analysis of configuration metadata from a wide variety of SIEM instances, including Splunk, Microsoft Sentinel, IBM QRadar, and Sumo Logic, across verticals that include banking and financial services, insurance, manufacturing, (..)

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

Jump ahead to: Prioritize Data Protection Document Your Response Process Make Users Part of the Process Understand Business Context Be Thorough Proactively Collect and Organize Data Don’t Forget Network Analysis Train and Drill Enlist Outside Help Go on the Offensive 1. Forensics tools are also helpful.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

As a bonus, many of these tools are free to access and have specialized feeds that focus on different industries and sectors. Cons Though free tools and integrations are available, OTX works best with paid AT&T Cybersecurity products like AlienVault USM. Threat dashboards are highly intuitive and easy to read. account.

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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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CCAR MRAs: 6 abilities you need

Collibra

As banks continue to work diligently to prepare for the Federal Reserve’s Capital Analysis and Review matter requiring attention (CCAR MRA) , many of them are finding that a mind shift is required. Others may deliver the ability to manage critical data elements, metadata, and data quality testing. .

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. That’s time needed and better used for data analysis. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry.