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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). Ensure security and access controls. An organizations data architecture is the purview of data architects. DAMA-DMBOK 2.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean.

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Relativity reaps the rewards of automated access management

CIO

This award-winning access management project uses automation to streamline access requests and curb security risks. Access management is crucial in the legal world because cases depend on financial records, medical records, emails, and other personal information.

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Cost, security, and flexibility: the business case for open source gen AI

CIO

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. With security, many commercial providers use their customers data to train their models, says Ringdahl. It allows us to provide services in areas that arent covered, and check boxes on the security, privacy, and compliance side.

Security 432
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Navigating the complexities of security and compliance on the mainframe

CIO

As organizations look to modernize IT systems, including the mainframe, there’s a critical need to do so without sacrificing security or falling out of compliance. With the stakes so high, IT leaders need to ensure their modernization strategies are inclusive of mainframe security. PCI DSS v4.0).

Security 391
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Overcoming data compliance and security challenges in the age of AI

CIO

In IT service and operations (ServiceOps), AI agents are providing assistance for in-context insights, incident response, change risk prediction, and vulnerability management. However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance.

Security 307
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Security team management: Top 4 findings from discussions with CISOs

CIO

Most large businesses have a security team. But what, exactly, does that security team look like? And is it optimized in each of these respects to maximize the organization’s security posture? We learned, for example, that very few organizations have just a single security team. How is it structured? Most have several.

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