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Quantifi Analytics from Quantifi
Provides advanced risk modeling, scenario analysis, factor-based analytics, valuation, and a robust API for integration with investment workflows. Suited for buy-side firms and asset managers.
Product analysis by function
Quantitative Analysis Tools for Investment Research & Analysis
Software for statistical analysis, econometric modeling, and quantitative research to identify patterns, correlations, and potential investment opportunities based on historical data and mathematical models.
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Data Integration & Management
(9 Yes /9 Known /10 Possible features)
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Multi-source Data Import Ability to import data from various internal and external sources including APIs, CSVs, Excel, and databases. |
Quantifi Analytics offers multi-source data import, including API and file-based sources, as referenced in product documentation and integration workflow descriptions. | |
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Real-time Data Feeds Support for continuous ingestion of live market and financial data. |
Supports integration of real-time market, risk, and reference data feeds (ref: API and risk platform documentation). | |
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Historical Data Storage Capacity to store and retrieve large volumes of historical data for backtesting and analysis. |
No information available | |
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Data Cleansing Tools Tools for removing duplicates, handling missing values, and normalizing data formats. |
Explicit mention of data cleansing tools in data integration workflows. | |
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Metadata Management Ability to manage data dictionaries and ensure context/lineage of datasets. |
Quantifi includes metadata management for tracking data origin and lineage. | |
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Automated Data Transformation Automated processes for adjusting or standardizing data before use in models. |
Automated transformation tools are available for pre-modeling data adjustment. | |
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Data Security & Access Controls Capabilities to restrict and monitor user access to sensitive or proprietary datasets. |
Robust role-based access control is referenced across product and API documentation. | |
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Cloud Storage Compatibility Support for major cloud platforms for data storage and compute. |
Supports cloud deployment (Azure, AWS) and associated storage options. | |
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Data Audit Trails Track and record changes and usage of datasets for compliance and transparency. |
Audit trails for data changes and API interactions are supported for compliance. | |
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Automated Data Refresh Scheduling and automation of regular data updates from sources. |
Supports automation and scheduling for data updates. |
Statistical & Quantitative Analysis
(9 Yes /9 Known /10 Possible features)
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Descriptive Statistics Generate measures such as mean, median, standard deviation, skewness, and kurtosis across datasets. |
Descriptive statistics are core analytical features in Quantifi Analytics. | |
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Correlation Analysis Assess and visualize relationships between different variables or assets. |
Quantifi supports correlation matrix generation and visualization. | |
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Regression Modeling Build and analyze linear and nonlinear regression models, including multi-factor models. |
Linear and multi-factor regression modeling included in factor-based analytics. | |
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Time Series Analysis Conduct ARIMA, GARCH, and other time-series forecasting methods. |
Time series tools, including volatility modeling, are noted in technical documentation. | |
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Hypothesis Testing Built-in tools for t-tests, chi-square tests, ANOVA, and similar statistical tests. |
Hypothesis/statistical testing capabilities present within analytics workflow. | |
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Factor Analysis Evaluate and decompose financial returns by factors such as value, momentum, or size. |
Factor analysis is a specifically highlighted capability. | |
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Clustering & Classification Support for machine learning clustering/classification (e.g., k-means, decision trees). |
Machine learning clustering techniques described in documentation. | |
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Principal Component Analysis (PCA) Dimensionality reduction and risk analysis via PCA. |
No information available | |
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Monte Carlo Simulation Run Monte Carlo simulations for portfolio risk and scenario analysis. |
Monte Carlo simulation is explicitly supported for risk and scenario analysis. | |
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Custom Statistical Scripting Support for integrating custom statistical scripts (Python, R, etc). |
Custom scripting through Python/R is available through API and plug-in mechanism. |
Econometric Modeling
(2 Yes /2 Known /10 Possible features)
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Panel Data Analysis Support for econometric techniques using cross-sectional/time-series panel data. |
No information available | |
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Cointegration Testing Check for long-term equilibrium relationships between asset prices. |
No information available | |
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Error Correction Models (ECM) Implement and estimate ECMs to measure speed of adjustment to equilibrium. |
No information available | |
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Instrumental Variables Estimation Handle endogeneity in regression via instrumental variable methods. |
No information available | |
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Generalized Method of Moments (GMM) Implement and solve complex GMM models for efficiency. |
No information available | |
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ARCH/GARCH Modeling Model time-varying volatility in financial series. |
ARCH/GARCH models supported for volatility and risk forecasting. | |
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Vector Autoregression (VAR) Multi-variable prediction and shock analysis. |
No information available | |
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Structural Equation Modeling (SEM) Ability to estimate multiple and interrelated dependency relationships. |
No information available | |
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Auto Model Specification Selection Automated selection of optimal statistical or econometric model structures. |
No information available | |
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Macroeconomic Scenario Generation Simulate macroeconomic environments for stress testing portfolios. |
Scenario generation including stress-testing for macroeconomic factors is a key advertised feature. |
Portfolio Construction & Optimization
(9 Yes /9 Known /10 Possible features)
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Mean-Variance Optimization Classical Markowitz portfolio optimization. |
Classical mean-variance portfolio optimization is available. | |
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Black-Litterman Model Support Support for running Black-Litterman blended optimization. |
No information available | |
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Risk Budgeting Allocate capital based on asset/strategy risk contributions. |
Risk budgeting by factor and strategy is described in product sheets. | |
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Custom Constraint Handling Flexible constraint definitions for liquidity, sector, geography, and other rules. |
Product allows rules-based portfolio constraints (sector, liquidity, geography, etc.). | |
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Transaction Cost Modeling Estimate and incorporate transaction costs into optimization. |
Transaction cost modeling included in scenario/portfolio analytics. | |
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Tax-aware Optimization Include the impact of different tax treatments in portfolio decision making. |
Tax-aware optimization is included as a feature for portfolio construction. | |
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Scenario Analysis Analyze portfolio responses to hypothetical or user-defined scenarios. |
Scenario analysis and what-if tools are core elements. | |
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Backtesting Evaluate portfolio strategies against historical data to assess performance. |
Supports backtesting against historical data. | |
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Multi-period Optimization Optimize portfolios through multiple rebalancing periods. |
Optimization across multiple periods supported in rebalancing tools. | |
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ESG/Sustainability Integration Support for optimizing portfolios with ESG or sustainable investment constraints. |
ESG analysis and constraints are supported for optimization. |
Risk Measurement & Management
(10 Yes /10 Known /10 Possible features)
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Value at Risk (VaR) Calculation Calculate portfolio or asset VaR using various methods (historical, parametric, Monte Carlo). |
Value at Risk (VaR) calculation, including Monte Carlo and parametric methods, is a highlighted feature. | |
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Conditional VaR (CVaR) Support for tail risk calculations using CVaR. |
Conditional VaR (CVaR) supported for tail risk analysis. | |
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Stress Testing Test performance against extreme but plausible adverse market scenarios. |
Stress testing, including customizable stress scenarios, is available. | |
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Sensitivity Analysis Analyze the impact of changes in risk factors (e.g., interest rates, spreads). |
Sensitivity analysis for risk factors cited in documentation and screenshots. | |
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Exposure Analysis Detailed views on exposures by asset class, region, sector, and risk factor. |
Exposure analysis available by asset, region, sector, and factor as outlined in platform overviews. | |
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Liquidity Risk Models Assess portfolio vulnerability to liquidity constraints. |
Liquidity risk modeling explicitly available. | |
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Factor Risk Decomposition Break down portfolio risk by systematic and idiosyncratic factors. |
Factor risk decomposition is a standard feature in risk analytics. | |
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Automated Alerts Configurable risk alerts on breaches of thresholds or limits. |
Automated configurable risk alerts, including threshold monitoring, are supported. | |
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Credit Risk Assessment Model and evaluate credit risk exposure within portfolios. |
Credit risk assessment (credit exposure and counterparty risk) is included. | |
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Integrated Risk Dashboard Visual summary of all risk measurements for quick decision making. |
Integrated dashboards provide real-time risk measurement overlays. |
Performance Measurement & Attribution
(8 Yes /8 Known /10 Possible features)
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Time-weighted & Money-weighted Returns Generate both TWR and IRR-style returns for portfolios and benchmarks. |
Product documentation includes support for time-weighted and money-weighted return calculations. | |
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Multi-level Performance Attribution Decompose contributions to return by asset, sector, region, or factor. |
Multi-level performance attribution by asset, factor, and decision provided. | |
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Custom Benchmark Comparison Measure performance relative to user-defined benchmarks. |
Custom benchmark comparison is available by user-defined indices. | |
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Style Analysis Quantitatively analyze styles (growth/value, small/large-cap, etc.). |
No information available | |
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Risk-adjusted Performance Metrics Automatically calculate Sharpe, Sortino, Information Ratio, Alpha, Beta, etc. |
Risk-adjusted metrics (Sharpe, Alpha, Beta, etc.) are calculated automatically. | |
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Attribution by Decision Layer Segment attribution to allocation, selection, timing, and interaction effects. |
No information available | |
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Custom Time Period Analysis Flexible analysis periods (monthly, quarterly, YTD, custom date ranges). |
Custom analysis periods, including YTD and arbitrary date ranges, are available. | |
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Peer Group Comparison Analyze performance versus peer group portfolios or funds. |
Peer group analysis against comparable portfolios, as per product demos. | |
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Return Decomposition Visualization Graphical breakdown of absolute and relative performance drivers. |
Performance and return decomposition visualizations are available out of the box. | |
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Attribution Report Generation Exportable reports with detailed attribution analyses. |
Exportable detailed performance and attribution reports. |
Visualization & Reporting
(10 Yes /10 Known /10 Possible features)
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Customizable Dashboards User-defined dashboards for quantitative analytics and monitoring. |
Analytics dashboard is extensively customizable. | |
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Interactive Charting Dynamic charts (line, bar, scatter, heatmap, etc.) allowing deep data exploration. |
Interactive dynamic charting built into dashboard interface. | |
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Scenario & What-if Visualization On-the-fly graphical analysis of potential investment scenarios. |
Scenario & What-if visualization is a described use case. | |
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Automated Report Scheduling Schedule regular, automated delivery of reports to stakeholders. |
Report scheduling and automation tools are documented. | |
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Export Formats Support for exporting reports/visualizations in PDF, Excel, PowerPoint, HTML, image formats. |
Report export supported in PDF, Excel, PPT, etc. formats. | |
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Custom Template Builder Branding and customization options for client-ready reports. |
Custom report templates and branding available according to marketing documentation. | |
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Annotation Tools Mark up charts and reports with comments and visual cues. |
Annotation tools for marking up dashboards and reports. | |
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Drill-down Capabilities Detailed exploration from high-level dashboards to granular data points. |
Drill-down capability from summary dashboards to underlying data sets in the UI. | |
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Report Access Controls Permissions and restrictions for report viewers. |
User and group-based report access permissions supported. | |
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Real-time Visualization Updates Automatic refresh of visuals with underlying data changes. |
Real-time dashboards auto-refresh with data changes. |
Automation & Workflow
(8 Yes /8 Known /10 Possible features)
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Workflow Orchestration Design, schedule and automate common quantitative analysis processes. |
Workflow orchestration tools included (integration with external processes via API). | |
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Event-driven Triggers Ability to initiate tasks or rerun analyses based on market or data events. |
Event-driven triggers for rebalancing and risk workflow automation. | |
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Batch Processing Support for high-volume batch analysis jobs. |
Batch jobs for analysis can be scheduled and run, per technical documentation. | |
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Version Control Integration Integration with source control systems for managing code and model versions. |
No information available | |
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Concurrent User Support Number of users who can access and operate the platform simultaneously. |
No information available | |
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Collaboration Tools Features for discussion threads, shared documents and commentaries. |
Supports team collaboration via comments and shared dashboards. | |
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Automated Notifications Alert users to workflow status, errors, or results. |
Automated notifications included for alerts and workflow completion. | |
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Role-based Task Assignment Assign steps in analysis workflows to specific users or teams. |
Role-based workflow/task assignment capabilities present. | |
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API-based Task Automation Automate analysis tasks via API calls. |
API for task automation is described in the integration documentation. | |
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Audit Logging Comprehensive tracking of workflow executions. |
Comprehensive action and workflow logging for audit purposes. |
Integration & Extensibility
(10 Yes /10 Known /10 Possible features)
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API Support Comprehensive APIs for importing/exporting data and calling analytical routines. |
Full API support for data import/export, analytics, and integration. | |
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Database Connectivity Native connectors for common relational, time-series, and NoSQL databases. |
Database connectors for SQL and NoSQL databases indicated. | |
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Programming Language Support Integration with languages such as Python, R, MATLAB, C++, etc. |
Supports Python and R integration for modeling and scripting. | |
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Plug-in/Extension Framework Support for 3rd-party and custom plug-ins to extend functionality. |
Extensions and plug-ins supported for analytics customization. | |
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Cloud & On-premise Deployment Ability to deploy in cloud, on-site, or hybrid environments. |
Supports both cloud and on-premise deployment models. | |
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Excel Integration Ability to read/write from Excel and embed live formula links. |
Excel integration for both import and export—formulas and live data. | |
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Single Sign-On (SSO) Authentication integration with enterprise identity providers. |
Single Sign-On integration for enterprise environments is standard. | |
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Mobile Access Mobile app or responsive web UI support. |
Mobile-responsive design and mobile access referenced in product overview. | |
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Data Vendor Feeds Integration Direct links to Bloomberg, Refinitiv, FactSet, etc. |
Integrates with Bloomberg, Refinitiv, and other vendor feeds. | |
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Custom API Endpoints User-defined endpoints for integration with internal systems. |
User-defined custom API endpoints described for integration. |
Speed, Scalability & Performance
(8 Yes /8 Known /10 Possible features)
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Computation Speed Performance of core analytics and model calculations. |
No information available | |
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Concurrent Model Runs How many parallel model runs the system can support. |
No information available | |
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Real-time Analytics Support for real-time or near real-time processing and output. |
Real-time analytics for portfolio/risk available via web and API. | |
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Scalable Compute Architecture Ability to scale up/down resources as data/model size grows. |
Scalable cloud and on-premise compute architecture by product design. | |
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Distributed Computing Leverage distributed frameworks to accelerate analysis. |
Distributed/parallel computing supported for advanced risk/modeling tasks. | |
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Load Balancing Automatically distribute analysis tasks for optimal performance. |
Load balancing for large jobs in multi-user environments described. | |
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Resource Usage Monitoring Monitor and report system CPU, memory, and storage consumption. |
Resource monitoring tools to track compute/storage usage. | |
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High-availability (HA) Support Built-in redundancy or failover to minimize downtime. |
Cloud deployment options include redundancy and failover features. | |
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Job Queue Management Efficiently manage and prioritize multiple analysis jobs. |
Job queue management for prioritizing analytic tasks. | |
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Latency Metrics Dashboard Visual and numeric display of computational response times. |
Performance/latency dashboards integrated within analytics UI. |
Security & Compliance
(10 Yes /10 Known /10 Possible features)
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Data Encryption (At Rest/In Transit) Protects sensitive data via encryption during storage and network transfer. |
Data encryption at rest and in transit described in security overview. | |
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User Authentication & Authorization Granular user permissions, authentication options, and MFA support. |
User authentication (including MFA), granular authorization supported. | |
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Audit Trails & Logging Comprehensive event and access logging for auditing and compliance. |
Comprehensive audit trails and logging tools for compliance. | |
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Regulatory Compliance Modules Support for MiFID II, AIFMD, SEC, GDPR, and other regulations. |
Regulatory compliance modules for MiFID II, AIFMD, SEC, and GDPR included. | |
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Data Retention Policy Tools Automate and implement policies for data archiving and removal. |
Support for automated data retention/archiving/removal described. | |
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Vulnerability Management Regular updates for system vulnerabilities and compliance. |
Vulnerability management and patching are part of ongoing system support. | |
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Third-party Security Certifications SOC 2, ISO/IEC 27001, and other certifications. |
SOC 2 and ISO/IEC 27001 compliance badges on product collateral. | |
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Secure API Gateways Ensure API connections are secure and monitored. |
Secure API gateways confirmed in technical architecture docs. | |
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User Activity Monitoring Real-time and historical monitoring of user activity for anomalies. |
User activity monitoring, including session and change logging. | |
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Incident Response Procedures Documented protocols and in-system playbooks for responding to breaches. |
Documented incident response and in-product playbooks for breach handling. |
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