Best AI For Risk Managers 2025

Based on monthly keyword-search data

🏆 Our Pick: Msci

18K monthly searches
-13% 3-Month Growth

MSCI equips risk managers with factor and climate data to quantify risk, automate reporting.

Featured AI For Risk Managers 2025
Rank Product Monthly VolumeVol 3-Month GrowthGrowth
1 Upstart Upstart helps risk teams optimize credit models with explainable AI and real-time monitoring. 496.5K +31%
  Upstart helps risk teams optimize credit models with explainable AI and real-time monitoring.
2 Simcorp SimCorp empowers risk managers to model exposures, automate limits, and consolidate analytics. 135.0K -7%
  SimCorp empowers risk managers to model exposures, automate limits, and consolidate analytics.
3 Bloomberg Terminal Bloomberg Terminal powers risk managers with real-time data, stress tests, and VaR analytics. 27.1K -19%
  Bloomberg Terminal powers risk managers with real-time data, stress tests, and VaR analytics.
4 Factset FactSet helps risk managers model exposures, stress test portfolios, and monitor risk. 27.1K -12%
  FactSet helps risk managers model exposures, stress test portfolios, and monitor risk.
5 Sift Sift augments risk managers with ML-driven scoring to detect abuse and streamline reviews. 27.1K -7%
  Sift augments risk managers with ML-driven scoring to detect abuse and streamline reviews.
Top 5 AI For Risk Managers by Monthly Volume
Rank Product Monthly VolumeVol 3-Month GrowthGrowth
1 Upstart Upstart helps risk teams optimize credit models with explainable AI and real-time monitoring. 496.5K +31%
  Upstart helps risk teams optimize credit models with explainable AI and real-time monitoring.
2 Simcorp SimCorp empowers risk managers to model exposures, automate limits, and consolidate analytics. 135.0K -7%
  SimCorp empowers risk managers to model exposures, automate limits, and consolidate analytics.
3 Bloomberg Terminal Bloomberg Terminal powers risk managers with real-time data, stress tests, and VaR analytics. 27.1K -19%
  Bloomberg Terminal powers risk managers with real-time data, stress tests, and VaR analytics.
4 Factset FactSet helps risk managers model exposures, stress test portfolios, and monitor risk. 27.1K -12%
  FactSet helps risk managers model exposures, stress test portfolios, and monitor risk.
5 Sift Sift augments risk managers with ML-driven scoring to detect abuse and streamline reviews. 27.1K -7%
  Sift augments risk managers with ML-driven scoring to detect abuse and streamline reviews.
Top 5 AI For Risk Managers by 3‑Month Growth
Rank Product Monthly VolumeVol 3-Month GrowthGrowth
1 Upstart Upstart helps risk teams optimize credit models with explainable AI and real-time monitoring. 496.5K +31%
  Upstart helps risk teams optimize credit models with explainable AI and real-time monitoring.
2 BitSight BitSight quantifies third-party risk, benchmarks security, and guides governance. 6.7K +4%
  BitSight quantifies third-party risk, benchmarks security, and guides governance.
3 AuditBoard AuditBoard elevates risk managers with ERM, issue tracking, real-time risk dashboards. 12.1K +0%
  AuditBoard elevates risk managers with ERM, issue tracking, real-time risk dashboards.
4 EcoVadis Quantify supplier ESG risk and monitor third parties using EcoVadis insights 8.1K +0%
  Quantify supplier ESG risk and monitor third parties using EcoVadis insights
5 Fieldguide Fieldguide centralizes risk assessments, workflows, and analytics to optimize audits. 8.1K +0%
  Fieldguide centralizes risk assessments, workflows, and analytics to optimize audits.

Methodology

  • Analysis periods: Monthly to 3‑month timelines for trend tracking
  • Ranking factors: Search volume, growth rate, keyword relevance
  • Validation process: Cross‑checking metrics across multiple sources
  • Quality assurance: Multi‑source verification for accuracy
  • Update frequency: Daily refresh at 00:00 UTC

Sources

  • Google Analytics: Primary keyword data collection
  • Google Trends: Search volume and trend analysis
  • Google Keyword Planner: Search metrics validation
  • Third‑party analytics: Additional verification platforms

Frequently Asked Questions

Will AI take my job?

AI is likely to replace jobs that do not require human elements such as empathy or creativity (such as a therapist or an artist). However, commercial AI adoption and job displacement will not happen as fast as many believe. Most people won't notice a change for at least 2-3 years, with a major economic shift happing over the next decade. This means you have time to adapt, ideally learning to use AI to your advantage in order to remain productive.

How does AI actually work?

Most models learn patterns from data rather than "understanding" like humans. For example, AI has learned that when it sees: "Think outside the..." it will have learned to predict the next word to be "box". As technology advances, and more data centers are built, AI will continuously improve on its pattern recognition skills.

Can I trust AI answers? What about bias and hallucinations?

You can trust AI answers like you trust a human's answers — with the understanding that even humans with the best intentions can be wrong sometimes. However, as AI technology advances, these mistakes will become less frequent, eventually to the point of near perfection.

Is my data safe when I use AI tools?

Your data is stored on the server of whichever company's product you are using, unless you are running an open-source AI model on your personal computer. "Safe" can be an objective term, depending how much you trust that company to protect your data.

Is AI sentient or close to AGI?

Not yet, but most experts agree that AGI is only a matter of time. Some believe AGI, a term used to mark the moment in which artificial intelligence surpasses human intelligence, will be achieved in as few as 2-3 years, while other say 5-10 years.

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