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Coordinated activities to direct and control an organization regarding risk identification, mitigation, and monitoring.
DESCRIPTION
Risk management establishes processes to identify, assess, prioritize, and treat risks across projects and operations. It leverages frameworks like ISO 31000 and NIST RMF to drive consistent governance. Key practices include maintaining a risk register, assigning owners, and monitoring residual risk and controls. In data and AI, it addresses model risks, privacy issues, compliance, and cybersecurity. Effective risk management aligns with strategy, enabling informed decisions and resilience.
ALTERNATIVE DEFINITIONS
ISO 31000
Risk management is the coordinated activities to direct and control an organization with regard to risk.
Authoritative ISO definition emphasizing organizational governance.
NIST SP 800-30 Rev. 1
Risk management is the process of identifying risk, assessing risk, and taking steps to reduce risk to an acceptable level.
Highlights assessment and mitigation as a continuous process.
PMI PMBOK Guide
Project risk management includes the processes of conducting risk management planning, identification, analysis, response planning, and monitoring and control.
Focuses on project-oriented risk management processes.
RELATED TERMS
ISO 31000 Risk Register Risk Assessment Mitigation Plan Residual Risk Threat Modeling Incident Management Control Framework
COMPETING TERMS
RELATIONS
- Narrower: AI Risk Management
KNOWLEDGE AREAS
Data Governance Data Management Data Security AI Governance
TARGET AUDIENCE
Chief Information Security Officer IT Manager Data Governance Manager Chief Data Officer Chief AI Officer IT Project Manager Enterprise Architect
EXTERNAL SOURCES
- Wikipedia - Risk management
- ISO 31000 - International standard for risk management
- NIST - Guide for conducting risk assessments
- PMI - Project risk management processes
TOP QUESTIONS
Why is Risk Management crucial in data and AI programs?
It prevents harm, ensures compliance, and protects value by proactively addressing model risks, privacy concerns, and cyber threats.
Category: Relevancy
How do you start Risk Management for a data platform?
Create a risk register, perform assessments, define controls and owners, and implement monitoring with SLIs and audits.
Category: Requirements
What are common Risk Management mistakes?
Static registers, unclear ownership, and neglecting residual risk cause blind spots; regular reviews are essential.
Category: Mistakes
How does Risk Management relate to ISO 31000?
ISO 31000 provides principles and framework to structure risk processes and governance across the organization.
Category: Example
What is a hot Risk Management topic in AI?
Model risk governance, bias and fairness assessments, and compliance with AI regulations like the EU AI Act.
Category: Topic
What’s the difference between Risk Management and Crisis Management?
Risk management is proactive mitigation; crisis management is reactive response to realized incidents.
Category: Alternatives
How should risks be monitored over time?
Use control testing, incident metrics, trend analysis, and regular governance reviews to track residual risk.
Category: Management
What is the biggest misunderstanding about Risk Management?
That it’s purely compliance; it’s a strategic capability enabling informed risk-taking and innovation.
Category: Misunderstanding
What tools support Risk Management in data programs?
GRC platforms, issue trackers, automated control tests, lineage and access monitoring, and reporting dashboards.
Category: Testing