1. Data Ingestion & Validation

All data entering the SmokeSignals AI ecosystem must undergo a rigorous validation process:

• Schema Verification: Ensuring data matches required formats for AI processing.
• Sanitization: Removal of redundant or corrupt records to maintain signal quality.
• Source Attribution: Every data point is tagged with its origin for auditability.

2. AI Model Governance

We maintain strict oversight of the AI models used in our GTM systems:

• Bias Monitoring: Regular testing to ensure models do not produce skewed or discriminatory outputs.
• Human-in-the-Loop: Critical strategic recommendations generated by AI are reviewed by our senior consultants before delivery.
• Version Control: All model iterations are documented and can be rolled back if performance degrades.

3. Data Handling & Storage

Our storage protocols are designed for maximum security and availability:

• Isolation: Client data environments are logically separated to prevent cross-contamination.
• Encryption: AES-256 encryption for data at rest; TLS 1.3 for data in transit.
• Backups: Automated daily backups with 30-day retention cycles.

4. Incident Response

In the event of a system anomaly or security concern:

1. Identification: Automated alerts trigger immediate investigation by the engineering team.
2. Containment: Affected systems are isolated within 15 minutes of detection.
3. Communication: Impacted clients are notified within 24 hours of a confirmed incident.

5. Service Termination Protocol

Upon termination of a service agreement, the following steps are executed:

• Access Revocation: All client credentials and API keys are deactivated.
• System Decommissioning: Custom integrations and applications are disabled as per the Terms of Service.
• Data Archival/Deletion: Client data is archived for 90 days before permanent deletion, unless otherwise specified in the contract.