Aegis is an AI-powered financial risk management platform that provides organisations with a comprehensive, real-time view of their risk exposure across all dimensions. By combining the power of Generative AI for scenario simulation and Predictive AI for forward-looking risk assessment, Aegis enables risk managers to move beyond reactive reporting and adopt a truly proactive stance. With 10 integrated core modules covering credit, market, operational, and regulatory risk, Aegis is the single platform that financial institutions need to manage risk in an increasingly complex and volatile environment.
Aegis is a highly scalable and extensible platform deployable on-premise, in the cloud, or in a hybrid configuration. A Data Aggregation Layer ingests data from a wide range of internal and external sources, including market data feeds, credit bureau data, transaction systems, and regulatory databases. Specialised Risk Engines calculate and aggregate risk metrics for each risk category in real-time. Predictive AI Models, trained on historical data, forecast future risk exposures and identify emerging threats before they materialise. A Generative AI component creates and simulates a wide range of stress scenarios, testing the organisation’s resilience under extreme conditions. All outputs are surfaced through a comprehensive Reporting and Analytics Dashboard that provides role-based views for risk officers, executives, and regulators.
A comprehensive engine for measuring, monitoring, and managing credit risk across the entire portfolio, including credit scoring, limit management, concentration analysis, and expected credit loss (ECL) calculation.
Advanced tools for quantifying and managing market risk, including Value-at-Risk (VaR), Expected Shortfall (ES), stress testing, and sensitivity analysis across all asset classes.
A structured module for identifying, assessing, and mitigating operational risks, with support for loss data collection, risk and control self-assessments (RCSA), and key risk indicators (KRIs).
Pre-built modules and reporting templates to support compliance with major regulatory frameworks, including Basel III/IV, IFRS 9, Dodd-Frank, and GDPR.
Leverages machine learning to build forward-looking risk models that predict future credit defaults, market movements, and operational incidents with greater accuracy than traditional statistical methods.
A configurable alerting engine that notifies risk managers and executives in real-time when risk exposures breach predefined thresholds or when anomalous patterns are detected.
Experience firsthand how Advanced Sistima can seamlessly integrate transformative technology into your daily operations. Connect with our experts today.
