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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, (..)

Metadata 105
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Keeping Up with New Data Protection Regulations

erwin

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

GDPR 100
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5 Recommendations for a Hybrid Cloud and On-Prem Approach

AIIM

Although cloud services can drive cost savings, their main value lies in supporting a fast-moving digital business transformation. One specific example is the case of a large insurance company. Consider the challenge for a Fortune 100 financial services company at tax time. But how does this play out in the real world?

Cloud 104
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Top 4 takeaways from the Gartner Data and Analytics Conference

Collibra

This conference brought together data and analytics leaders from top industries such as government, banking, financial services, insurance, and manufacturing. Below are my top 4 takeaways from the conference: .

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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. Metadata-Driven Automation in the BFSI Industry. The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most.

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The most valuable AI use cases for business

IBM Big Data Hub

Deliver new insights Expert systems can be trained on a corpus—metadata used to train a machine learning model—to emulate the human decision-making process and apply this expertise to solve complex problems. This way, they are also able to calculate the risk of an individual or entity and calculate the appropriate insurance rate.

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SER’s growth double that of ECM market competition

Info Source

Doxis4 has a competitive market advantage due to the fact that it brings together ECM, BPM, collaboration and EFSS onto one unified technological platform with uniform metadata management. “As a premium vendor, we constantly focus on innovation and quality. Visionary and Strong Performer.

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