Glossary of Terms

An enterprise design principle in which human decision-makers interact primarily with networks of AI agents delivering risk intelligence and assurance as first-class services.

A coordinated network of specialised AI agents, retrievers, planners, verifiers, scenario builders, red-team adversaries, that share context and embeddings. Functions include scalable scenario generation and wargaming, continuous monitoring of capital, liquidity, cultural and operational indicators, distributed decision-support and automation across modules.

Computational methods for perception, reasoning, learning, and decision-making. In RiskMetrica: LLMs for narrative analysis and regulatory interpretation, RAG for grounded agent responses, LCM, planned, to discover cause and effect in stress propagation, ML for predictive analytics and anomaly detection with cultural-risk linkage, RL for dynamic hedging and capital-allocation optimisation, GANs for adversarial scenario generation and wargaming. Enables the Agent First Enterprise approach.

Concise articulation of the types and magnitude of risk an organisation is willing to accept in pursuit of objectives.

Structured programme for testing, validating, and independently reviewing benefit-realisation claims, model reliability, control effectiveness, and regulatory compliance.

Core module linking risk appetite, coherent measures, capital allocation, and optimisation of risk—return trade-offs.

Global banking framework. Basel III strengthens capital adequacy, leverage ratio, LCR, NSFR. Basel IV finalises reforms, revises RWA calculation, introduces capital-output floors and enhanced disclosures. RiskMetrica use, Balance Module capital monitoring, coherent-measure stress testing, scenario wargaming for capital adequacy.

Quantitative and qualitative indicators capturing human and cultural drivers of risk-taking behaviour.

Specialised agent interface delivering board-grade dashboards, early-warning alerts, and scenario-based insights.

Capability aligned with ISO 22313 to maintain essential services during disruption, connected to the Scenario and Wargaming Platform.

Unified structure integrating regulatory capital, economic capital, liquidity buffers, and coherent measures, banking Basel III/IV ratios, insurance Solvency II SCR/MCR and ORSA, DeFi/FinTech token-reserve adequacy and MiCA-compliant prudential rules.

Translates board-level appetite into operational indicators, limits, and dashboards.

US supervisory stress-testing frameworks. CCAR assesses capital planning, governance, and resilience of large bank holding companies. DFAST provides standardised scenario tests for a broader set of banks. RiskMetrica use, scenario-wargaming templates and reporting pipelines for US entities.

Risk measures satisfying monotonicity, sub-additivity, translation invariance, and positive homogeneity, for example Expected Shortfall and Tail VaR. Provide a consistent basis for capital aggregation and allocation.

Defines entity boundaries, business lines, risk classes, and scenario horizon.

Platform element assessing and embedding cultural factors, tone, incentives, openness to challenge, learning climate, in appetite, balance, and assurance processes.

Maps SOC 2, ISO 27001, DORA, and related resilience controls into platform indicators.

Module embedding risk-based authority limits and decision guardrails into workflows.

EU ICT-risk and operational-resilience framework. Mandates incident reporting, continuity and recovery planning, threat-led penetration testing, and third-party risk oversight. RiskMetrica use, scenario-wargaming for operational-resilience drills and integrated monitoring of control effectiveness.

Stochastic-volatility-aware and transaction-cost-sensitive approach for hedging crypto-asset exposures, for example ETH, STRK, while preserving upside potential.

Explicit integration of incentive structures and culture-health indicators into the utility function guiding capital allocation.

Coherent risk measure equal to the expected loss given that losses exceed the VaR threshold at a specified confidence level. Captures tail-loss severity, satisfies sub-additivity, adopted in FRTB for market-risk capital, used in the Balance Module for capital optimisation and scenario analysis.

HTML prototype sequence implementing the RAC workflow, Context & Scope → Performance Measures → Appetite Statement → Cascade & Alignment → Review & Approval → Delegations & Decision Guardrails → Report Builder.

Basel III/IV market-risk capital reform. Replaces VaR with Expected Shortfall at 97.5% for capital. Introduces stricter Internal-Model and Standardised Approaches and P&L attribution tests. RiskMetrica use, Balance Module market-risk capital and trading-book stress wargaming.

Used for adversarial scenario generation, red-team testing, and stress-testing systemic resilience.

Privacy and data-protection frameworks. GDPR and UK-GDPR require strict processing rules, consent, breach notification, and penalties. CCPA provides California residents disclosure and privacy rights. RiskMetrica use, integrated into data-governance scorecards and selective-disclosure handling.

Integrated layer for policies, oversight, and controls across all modules.

Financial reporting standards. IFRS 9 for forward-looking ECL. IFRS 17 for market-consistent insurance liability measurement with risk adjustment and CSM. RiskMetrica links provisions and coherent-measure-driven capital models for integrated solvency and reporting.

Key Risk, Performance, and Control Indicators linked to appetite and tolerance cascades, tracked by agents and dashboards.

Combines macroeconomic, financial, cyber, operational, and climate shocks for evaluating capital and resilience.

Global market conduct and infrastructure standards. IOSCO principles for securities markets, IAIS for insurance, CPMI-IOSCO PFMI for payment, clearing, settlement risk management and recovery planning.

Baseline international standards for IT and data security compliance.

RAG-enabled agents that fetch, contextualise, and apply regulatory texts, policies, historical data, and market intelligence to support appetite, scenario, and reporting analyses.

Planned AI layer for identifying and quantifying causal relationships in stress propagation.

Tri-band output structure for ROI, loss reduction, capital adequacy, and performance metrics.

Predictive analytics, anomaly detection, and continuous assurance. Techniques include gradient-boosted trees and random forests, transformer-based sequence models, graph neural networks, and reinforcement learning for hedging and capital allocation.

Traditional frameworks extended with coherent-measure calibration and agent-assisted interpretability.

EU regime for crypto-assets and service providers, covering stablecoins, ARTs and EMTs, CASPs, disclosures, prudential and conduct rules, authorisation, governance, custody, reserve adequacy. RiskMetrica use, compliance monitoring and DeFi capital-module integration.

Reference transition and physical risk pathways from the Network for Greening the Financial System. Integrated into Scenario & Wargaming for capital adequacy and resilience assessment.

Core principle aligning strategic risk-taking with organisational resilience and compliance capacity.

Utility-based multi-objective optimisation in the Balance Module allocating capital and setting appetite and tolerance with coherent-measure and cultural-constraint penalties.

Firm-specific, forward-looking assessment of overall solvency needs and risk profile under Solvency II.

Selected metrics for tracking progress toward strategic objectives within defined appetite and tolerance boundaries.

Evidence-based materials supplied to participants in workshops and wargaming exercises.

ML-driven forecasting of KRI trajectories, breach probabilities, and scenario outcomes for forward-looking executive insight.

Benefit-realisation methodology constrained to evidence-based ranges and risk-adjusted expected-loss improvements.

Planned quantum-resistant, blockchain-backed secure data storage and selective-disclosure backbone.

Structured monetary-gain calculation for interventions, including uncertainty bands and coherent-measure adjustments.

Integrates agent swarms, ML scenario generators, GAN-based adversarial stressors, and human-in-the-loop boards for capital/liquidity stress tests, cyber red-team drills, competitive response, regulatory challenges, continuity, and extreme-loss exercises.

Board and operational dashboards aligning KRI, KPI, KCI to appetite, tolerance, coherent-measure thresholds, and cultural-risk metrics.

UK governance and individual accountability framework. Defines senior-manager responsibilities, conduct rules, certification and attestation. Integrates with Delegations & Decision Guardrails and culture analytics.

EU insurance prudential framework defining SCR and MCR. RiskMetrica use, coherent-measure capital allocation and integrated ORSA scenario modelling and reporting.

Parallel publications for board and executive audiences and for technical specialists.

Operational thresholds that convert appetite and coherent-measure-based capital settings into day-to-day limits.

Roadmap for staged delivery of RAC, Balance, Culture, Scenario-Wargaming, and Reporting modules.

Mathematical representation of the trade-off between expected reward and risk, embedding coherent measures, capital and liquidity constraints, and culture-based penalties.

Statistical threshold indicating the maximum expected loss over a horizon at a chosen confidence level. Example, one-day 99% VaR equals £50m means a 1% chance of losing more than £50m in a day. Not coherent, does not capture tail-loss severity, lacks sub-additivity.