Best Financial Risk Management Software for Microsoft Azure

Find and compare the best Financial Risk Management software for Microsoft Azure in 2025

Use the comparison tool below to compare the top Financial Risk Management software for Microsoft Azure on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    ThreatConnect Risk Quantifier (RQ) Reviews
    ThreatConnect RQ is a financial cyber risk quantification solution that allows users to identify and communicate the cybersecurity risks that matter most to an organization in terms of financial impact. It aims to enable users to make better strategic and tactical-level decisions by quantifying them based on the business, the technical environment, and industry data. RQ automates the generation of financial cyber risk reporting as it relates to the business, cybersecurity initiatives, and controls. Automated outputs are generated in hours for reporting that is more current and relevant. By automating risk modelling, the vendor states customers get a fast start and can critique, or tune models over time instead of having to create their own. They use historical breach data and threat intelligence upfront in order to save months of data collection and remove the burden of continuous updating.
  • 2
    Agicap Reviews
    Agicap automates and centralizes your cash flow, allowing you to focus on analysis and decision-making. Create your cash flow forecast, and monitor your targets. Visualize your cash flow by synchronizing bank accounts and business software. Automated, centralized and harmonized cash-management can improve overall productivity. Consolidate your data with a collaborative tool that consolidates all of your data. Cash flow can be forecasted at the entity or consolidated level. Consolidate your cash flow and monitor it from multiple banks, entities and business tools. Create automated cash forecasts to explore scenarios. Create custom dashboards for better analysis and reporting. Agicap will automatically categorize your banking transactions. Real-time monitoring of the differences between actuals and forecasts. Build a reliable prediction and make informed decisions at the appropriate time.
  • 3
    NEMESIS Reviews
    NEMESIS: Next generation AI-powered anomaly detection technology that detects fraud and waste. NEMESIS: Next generation AI-powered anomaly detector technology that pinpoints efficiency opportunities within your business management systems. NEMESIS, powered by AI, is an enterprise-ready configurable platform for business solutions that enables business analysts to quickly transform data into actionable insights. AI can solve problems such as overstaffing, medical errors and quality of care. NEMESIS's continuous process monitoring allows you to uncover a wide range risk elements. From predicting quality issues to detecting abuse and waste, NEMESIS can help you. Machine learning and AI can be used to detect fraud schemes and prevent them from draining your finances. Continuous visibility of waste and abuse will help you to keep your budget in check and prevent budget deviations.
  • 4
    Lumify360 Reviews
    With a configurable notification engine and workflow, you can assign and take action on KPI analyses, trends, and exceptions, and ensure timely offline data collections. Connect to any third-party platform, data source or application, including Databricks Snowflake, Azure SharePoint, Google Docs AWS, business data and more. Link macroeconomic and market data to KPIs, then to strategic objectives, goals, risks and even risk appetite to visualize and predict KPI performance. Kaia™ is our AI agent that can help you analyze enrichment data sources, and make recommendations for KPIs. Lumify360's native Power BI Integration allows organizations to easily import visualizations and data into their Office applications, and keep reports updated. With Lumify360's integrated AI partner, Kaia, users can get the insights they require or dig deeper into analytics, without having to rely on data analysts or subject-matter experts.
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