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Model risk management 2.0 evolves to address continued uncertainty of risk-related events

McKinsey & Company

Organizations this year plan to enhance their MRM framework capabilities—including risk culture, standards, and procedures—and to upgrade their validation resources with MRM 2.0 firmly on the agenda.

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The synergy between UEM and medical device risk management

IBM Services

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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The Rise of Cloud Marketplaces as a Procurement Channel for Software, SAAS, and Services Solutions | Blog

Everest Group

Enhanced risk management Availability of pre-vetted suppliers and solutions on these marketplaces contributed to 43% of users feeling confident about risk mitigation. These features empower businesses to optimize their spending and achieve better value for money.

Software 147
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Response and resilience in operational-risk events

McKinsey & Company

Direct losses from operational-risk failures are mounting, and in today’s volatile economic environment, consequent losses in share price are many times greater.

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Enterprise Risk Pros Pivot From Compliance To Driving Faster, Better Decisions

Forrester Digital Transformation

The average firm’s list of business and risk management priorities looks very different today than it did two years ago. For starters, according to Forrester data, 43% of enterprise risk management (ERM) decision-makers report having experienced three or more discrete critical risk events over the past 12 months.

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Apply Critical Thinking And Culture To Reduce Insider Risk

Forrester Digital Transformation

Learn how to reduce the three most common types of insider threats in this Security & Risk event preview.

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Decoding the EU AI Act: What it Means for Financial Services Firms | Blog

Everest Group

Next, they need to take inventory of existing AI assets like models, tools, and systems, classifying each into the four risk categories outlined by the Act. Crucially, a cross-functional team should be formed to oversee AI risk management, drive compliance efforts, and execute mitigation plans across the organization.

Service 162