Sarbanes-Oxley Act (SOX)
Description
- Purpose: Ensure integrity of financial reporting and controls
- Jurisdiction: United States
- Effective Date: July 30, 2002
- Detection Tools:
- TBD
- Related Risks:
- Related Regulations:
The Sarbanes-Oxley Act (SOX) is a U.S. federal law enacted in 2002 to protect investors by improving the accuracy and reliability of corporate disclosures. It imposes strict requirements on public companies to establish internal controls and ensure financial transparency. SOX has significantly impacted corporate governance and is crucial for maintaining the integrity of financial reporting.
Scope & Applicability
SOX applies to all publicly traded companies in the United States and their subsidiaries, as well as the accounting firms that audit them.
- Covered Entities: Publicly traded companies, their subsidiaries, and associated auditing firms.
- Data Types: Financial records, internal controls data, and corporate disclosures.
- Key Exemptions: Private companies are not directly subject to SOX, though they may be indirectly affected.
Key Requirements
Organizations must implement rigorous internal controls and transparency mechanisms for financial reporting:
- Establish and maintain robust internal control systems over financial reporting.
- Implement procedures to ensure the accuracy and completeness of corporate disclosures.
- Special Focus Areas:
- Internal Audits: Conduct regular internal audits to assess control effectiveness.
- Data Integrity: Ensure that financial data is accurate and securely maintained.
- Additional Focus: Implement whistleblower protections and enforce accountability at the highest levels.
Impact on LLM/AI Deployments
While primarily a financial regulation, SOX impacts AI systems used in financial reporting and decision-making:
- Data Integrity: AI systems must ensure the accuracy and traceability of financial data processed or generated.
- Internal Controls: Integrate AI-driven financial tools into existing internal control frameworks.
- Auditability: Ensure that AI outputs used in financial disclosures are auditable and verifiable.
- Security and Observability Considerations:
- Audit Logging: Maintain detailed logs of AI processes that affect financial reporting.
- Access Controls: Limit system access to authorized users only.
- Regular Audits: Periodically audit AI systems for data accuracy and control compliance.
- Compliance Reviews: Incorporate AI systems into regular SOX compliance reviews.
- Risk Management: Identify and mitigate risks associated with AI’s impact on financial data.
Enforcement & Penalties
SOX is enforced by the U.S. Securities and Exchange Commission (SEC) and through civil litigation, with severe consequences for non-compliance.
- Enforcement Body: U.S. Securities and Exchange Commission (SEC).
- Fines and Penalties:
- Civil Penalties: Fines and sanctions for inadequate internal controls.
- Criminal Penalties: In severe cases, executives may face criminal charges.
- Additional Enforcement Mechanisms: Internal and external audits, as well as investor lawsuits.
- Operational Impacts: Non-compliance can lead to financial restatements, loss of investor confidence, and significant reputational damage.