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The synergy between UEM and medical device risk management

IBM Big Data Hub

Unified endpoint management (UEM) and medical device risk management concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.

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4 steps to improving your ESG risk management to increase financial performance

IBM Big Data Hub

Environmental, Social, and Governance (ESG) risk management has emerged as a critical aspect of business strategy for companies worldwide. However, 57% of CEOs admit that defining and measuring the Return on Investment (ROI) and economic benefits of their sustainability efforts remain a significant challenge.

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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

Organizations are seeing a dramatic rise in informal adoption of gen AI – tools and platforms used without official sanctioning. A CISO at a major marketing software firm worried about this explicitly, stating, “The real risk is that you have unintentional data leakage of confidential information. Here’s what I learned.

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly on Data

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. Assessments tend to be more informal and cooperative. applies external authoritative standards from laws, regulations, and AI risk management frameworks.

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Top 10 governance, risk, and compliance certifications

CIO Business Intelligence

A variety of roles in the enterprise require or benefit from a GRC certification, such as chief information officer, IT security analyst, security engineer architect, information assurance program manager, and senior IT auditor , among others.

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5 Sneaky Ways Hackers Try to Steal Information

Smart Data Collective

Endpoint security protection measures can also prevent or mitigate many of the worst types of cyberattacks. They exploit the natural tendency to trust or provide assistance to gain access to restricted information. They will send messages that imply the individual or the business is in trouble or must verify some information.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.