> For the complete documentation index, see [llms.txt](https://csigma-edge.gitbook.io/csigma-protocol/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://csigma-edge.gitbook.io/csigma-protocol/about-institutional/participants-and-risk-management.md).

# Participants & Risk Management

**cSigma** **Institutional** brings together multiple classes of participants within a unified, risk-aware credit infrastructure.\
Each role interacts through permissioned smart-contract modules built on the **Diamond Standard (ERC-2535).**

This dual structure — *onchain transparency* + *offchain intelligence* — ensures that capital flows are efficient, compliant, and continuously monitored for risk.

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#### Participant Overview

| Participant                     | Description                                                                                              | Key Responsibilities                                                                                                             |
| ------------------------------- | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| **Institutional Lenders**       | Institutional lenders in addition to Edge, that provide capital to cSigma's institutional lending pools. | Supply capital, earn yield via the institutional lending layer, and benefit from diversification across RWA and DeFi strategies. |
| **Institutional Borrowers**     | Verified entities that borrow funds to deploy into real-world asset (RWA) opportunities.                 | Maintain creditworthiness, make timely repayments, and report portfolio performance.                                             |
| **Asset Managers**              | Onchain strategy managers that execute DeFi yield or market-neutral strategies.                          | Operate through dedicated child pools, borrow against approved limits, and periodically report strategy results.                 |
| **Governance / Protocol Admin** | Multi-sig or DAO authority managing protocol-level configurations.                                       | Approve upgrades, adjust exposure thresholds, and enforce emergency controls.                                                    |
| **Oracles & AI Systems**        | Data intelligence and analytics components.                                                              | Continuously update credit ratings, pool valuations, and performance metrics onchain.                                            |

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#### Institutional Credit Lifecycle

1. **Onboarding & Verification**\
   Institutional borrowers and asset managers undergo **KYB verification** and compliance checks before gaining access. Each participant is assigned a unique onchain identity within the cSigma Institutional Diamond contracts.
2. **AI-Based Credit Assessment**
   * The **AI Credit Engine** evaluates each borrower’s financial and behavioral data — both onchain and offchain. 
   * Factors include repayment history, utilization ratios, collateral behavior, and external financial indicators.
3. **Capital Allocation**\
   The **Fund Manager** allocates liquidity from Edge, csUSD, and csLYD vaults into Child Pools based on:
   * Credit rating and risk score
   * Pool utilization and repayment performance
   * Portfolio diversification limits
4. **Borrowing & Strategy Deployment**
   * **Institutional Borrowers** draw funds to finance RWA portfolios (e.g., trade credit, real estate, or private loans).
   * **csLYD Asset Managers** borrow through their Child Pools to run onchain yield strategies.\
     Each Child Pool remains isolated to prevent contagion across pools.
5. **Repayment & Yield Distribution**\
   All repayments flow back to the respective Child Pools. The Fund Manager aggregates and redistributes yield proportionally to the originating vaults, which automatically reflect it in user share values.

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#### Risk Management Framework

Institutional platform enforces a layered risk-control system that blends onchain safeguards with adaptive, data-driven oversight.

| Mechanism                   | Description                                                                                                                                                               |
| --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **AI Credit Engine**        | Continuously scores and updates borrower risk profiles using onchain data (utilization, repayment timing) and offchain metrics (financial reports, external credit data). |
| **Dynamic Exposure Limits** | Fund allocations can be  adjusted as credit ratings change — higher-risk borrowers receive smaller or frozen credit lines.                                                |
| **Child Pool Isolation**    | Each borrower or manager operates within its own smart-contract pool, ensuring that defaults are sandboxed and cannot cascade system-wide.                                |
| **Oracle-Based Monitoring** | The Asset Oracle validates all reported data, ensuring price accuracy and preventing manipulation.                                                                        |
| **Governance Oversight**    | Multi-sig administrators can pause, recall funds, or rebalance exposure if there is any systemic risk.                                                                    |

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