Silent Compute: A Cryptographic VM

## **Overview**
**Silent Compute** is a powerful suite of APIs designed to empower financial institutions to process and analyze sensitive financial data without the need to move or share that data. Built with advanced cryptographic techniques, **Silent Compute** ensures compliance and security while unlocking valuable insights from financial data. This tool is ideal for fintech companies, banks, and financial institutions working with highly sensitive information, such as transaction data, credit scores, and cross-border payment data.

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## **How It Works (Key Functionalities Explained)**
**Silent Compute** leverages state-of-the-art privacy-preserving computational protocols, allowing financial institutions to securely perform various operations on their sensitive data. The tool does not require data to be moved or shared between parties, ensuring that sensitive information stays protected throughout the process. Here's a detailed look at how the suite operates:

1. **Sensitive Data Handling**:
- **Transaction Data**: Institutions can securely validate transaction details, ensuring compliance with regulatory standards and avoiding fraud or errors, all while keeping transaction data private.
- **Credit Data**: Financial institutions can perform credit and risk scoring checks without exposing individual credit scores or other sensitive data. This allows for accurate assessments while maintaining full privacy.
- **Cross-Border Data**: The tool facilitates secure cross-border data computations, enabling institutions to handle international payments, validate compliance, and ensure data privacy in the face of complex global regulations.

2. **Unlocking Financial Data for Key Use Cases**:
- **Open Banking**: **Silent Compute** enables secure and private data sharing between institutions for Open Banking applications. Financial data can be analyzed and processed without breaching privacy, supporting innovation in financial services.
- **Compliance Checks**: Financial institutions can perform essential compliance checks (e.g., anti-money laundering, KYC) securely without transferring sensitive data, ensuring regulatory compliance without compromising data privacy.
- **Credit/Risk Scoring**: Silent Compute allows financial institutions to conduct robust credit and risk scoring without accessing or sharing sensitive individual data. This ensures accurate assessments while safeguarding customer privacy.

3. **Cross-Border Transfers**:
- **Silent Compute** makes it possible to securely process cross-border transactions, ensuring compliance with international regulations without requiring data to leave the institution’s local environment. The suite supports institutions in securely validating transactions across borders, ensuring both security and compliance.

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## **Example Use Case: Private Sanction Check (PSC)**
**Silent Compute** offers a powerful solution for **Private Sanction Check (PSC)**, ensuring that transactions are compliant with local and international regulations, without exposing sensitive data. Here's how **Silent Compute** can be applied:

- **Scenario**: A financial institution needs to verify that a cross-border payment transaction complies with sanctions regulations, but without revealing any transaction details to a third party.

- **Steps**:
1. **OB (Originating Bank)** submits the transaction details to **Silent Compute**, ensuring no sensitive data is shared.
2. **BB (Beneficiary Bank)** securely inputs its encrypted sanctions list.
3. **Silent Compute** processes these inputs using **Multiparty Computation (MPC)** techniques, performing the necessary compliance checks against the sanction list.
4. **OB** receives a secure, encrypted result, indicating whether the transaction complies with the relevant sanctions regulations (whether the transaction can proceed or be blocked due to non-compliance).

For detailed information on how to implement Private Sanction Check (PSC) with Silent Compute, please refer to the **private_sanction_list_check.ipynb** and **private_sanction_list_check_distributed.ipynb** notebook for step-by-step instructions and examples.

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## **Example Use Case: Capital Flow Management (CFM)**

**Silent Compute** enables privacy-preserving **Capital Flow Management (CFM)**, ensuring that transactions comply with macroprudential capital controls, while keeping customer and transaction details fully confidential.

**Scenario:** A central bank wants to enforce capital flow limits (e.g., maximum allowed outflows), but neither the bank nor the transacting party wants to reveal sensitive data—like the total capital already moved or the transaction amount.

**Steps:**

1. **OB (Originating Bank)** proposes a new cross-border transaction by submitting encrypted details (e.g., transaction amount, customer identity) via Silent Compute.
2. **CB (Central Bank)** inputs its private state: a list of prior capital flows for that customer and the jurisdictional capital limit.
3. **Silent Compute** processes these inputs using secure multiparty computation (MPC), ensuring that:
- The total of past and proposed capital flows is computed,
- A secure comparison is made against the limit,
- No private data is leaked during the process.
4. **OB** receives a secure verdict indicating whether the transaction is **within** the allowed limit or **exceeds** it—without ever learning the CB’s prior capital flow data, and vice versa.

For implementation details, please refer to the **cfm.ipynb** notebook for a full walkthrough of the protocol and implementation.

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**Silent Compute** ensures that all data remains secure throughout this process, enabling compliance checks to be completed without exposing any private data. This use case is ideal for institutions managing cross-border payments or transactions subject to stringent regulatory frameworks.

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# **Why Choose Silent Compute?**

Silent Compute offers a comprehensive solution tailored for the financial sector, combining cutting-edge cryptography, regulatory compliance, and scalability to meet the demands of modern financial institutions:

- **Privacy-Preserving Computation:**
Sensitive financial data, including transaction or customer details and personal identifiers, remains securely within your control, ensuring customer and institutional privacy.

- **Regulatory Assurance:**
Meet local and international compliance requirements such as GDPR, CCPA, DPDPA, and PSD2 while safeguarding sensitive data and maintaining trust.

- **Optimized for Financial Use Cases:**
Specifically designed for fintech applications, Silent Compute supports Open Banking, Private Sanction Checks (PSC), credit scoring, cross-border collaborations, and more, empowering institutions to innovate responsibly.

- **State-of-the-Art Security:**
Leveraging advanced cryptographic techniques like Multiparty Computation (MPC), Silent Compute ensures secure, transparent, and tamper-proof data processing without the need to centralize or expose raw data outside the host environment.

- **Scalable and High-Performance:**
Built to handle high-volume data processing with minimal latency, Silent Compute efficiently scales to meet the needs of both small financial firms and large multinational institutions.

Choose Silent Compute to drive innovation, enhance security, and ensure compliance in an increasingly complex financial landscape.

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Silent Compute is your ultimate solution for secure, compliant, and privacy-preserving financial data processing. By ensuring that sensitive data remains protected while enabling powerful computations, it empowers financial institutions to harness the full potential of their data while maintaining control and security.

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