AI Interaction Data Retention Policy
Purpose
Defines retention periods, consent requirements, and deletion procedures for AI prompts, responses, and interaction metadata.
Related Controls
1. Scope
Define what types of AI interaction data this policy covers.
Policy Scope
This policy governs the retention, storage, and deletion of all data generated through interactions with artificial intelligence systems used by [ORGANIZATION NAME].
Covered Data Types
| Data Type | Description | Examples |
|---|---|---|
| Prompts | User inputs submitted to AI systems | Queries, instructions, code snippets, data provided for analysis |
| Responses | AI-generated outputs | Generated text, code, analyses, recommendations, images |
| Interaction Metadata | Technical and contextual data about the interaction | Timestamps, user IDs, model identifiers, token counts, session IDs |
| Conversation Context | Multi-turn conversation history | Chat threads, session histories, follow-up exchanges |
| Feedback Data | User evaluations of AI outputs | Thumbs up/down, ratings, correction annotations, reported errors |
| System Logs | Technical logs from AI system operations | API call logs, error logs, performance metrics, access logs |
Covered Systems
This policy applies to all AI systems enumerated in the AI Asset Inventory Register, including but not limited to:
- Enterprise LLM platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI)
- AI-powered development tools (e.g., code assistants, testing tools)
- Customer-facing AI applications (e.g., chatbots, recommendation engines)
- Internal AI tools and automations
- AI systems operated by third-party vendors on behalf of [ORGANIZATION NAME]
Effective Date
This policy is effective as of [DATE] and applies to all AI interaction data generated on or after that date. Pre-existing data must be brought into compliance within 90 days of the effective date.
2. Retention Periods
Specify the retention duration for each type of AI interaction data.
Standard Retention Schedule
| Data Type | Data Classification | Retention Period | Storage Location | Justification |
|---|---|---|---|---|
| Prompts (Public data) | Tier 1 | 12 months | Enterprise log system | Audit and quality assurance |
| Prompts (Internal data) | Tier 2 | 24 months | Enterprise log system | Compliance and incident investigation |
| Prompts (Confidential data) | Tier 3 | 36 months | Secured archive | Regulatory and legal hold |
| Prompts (Restricted data) | Tier 4 | Duration of legal hold + 12 months | Encrypted secured archive | Legal and regulatory mandate |
| AI Responses | Same as input tier | Same as corresponding prompt | Same as corresponding prompt | Paired with input for context |
| Interaction Metadata | N/A | 36 months | SIEM / log management | Security monitoring and forensics |
| Conversation Context | Highest tier in session | Same as highest-tier data in session | Enterprise log system | Session integrity |
| Feedback Data | N/A | 24 months | AI platform analytics | Model improvement tracking |
| System Logs | N/A | 12 months | SIEM / log management | Operational troubleshooting |
Retention Rules
- Paired Retention: Prompts and their corresponding responses must be retained and deleted as a unit. Partial retention is not permitted.
- Session Integrity: All data within a single AI session inherits the retention period of the longest-retention data element in that session.
- Legal Hold Override: Active legal holds supersede all standard retention periods. Data under legal hold must not be modified or deleted until the hold is formally released by [ROLE TITLE].
- Regulatory Floor: Where regulatory requirements specify minimum retention periods that exceed this policy, the regulatory requirement takes precedence.
- Vendor Retention: Third-party AI vendors must be contractually prohibited from retaining [ORGANIZATION NAME] data beyond the session duration unless explicitly authorized in the DPA.
3. Consent Framework
Define consent requirements for collecting, retaining, and processing AI interaction data.
Internal Personnel Consent
All [ORGANIZATION NAME] personnel who use AI systems provide consent for interaction data collection and retention through:
- Employment Agreement / Contractor Agreement: Updated to include AI interaction monitoring and retention provisions
- AI Acceptable Use Policy Acknowledgment: Signed annually, explicitly referencing data retention practices
- System Login Banner: All enterprise AI systems display a consent notice at login: "Your interactions with this AI system are logged and retained in accordance with [ORGANIZATION NAME]'s AI Interaction Data Retention Policy. By proceeding, you consent to this monitoring."
Customer and External Party Consent
For AI systems that interact with customers, partners, or other external parties:
| Interaction Type | Consent Mechanism | Minimum Disclosure |
|---|---|---|
| Customer-facing chatbot | Pre-chat disclosure + opt-in | Data collection, retention period, third-party processing |
| AI-processed support tickets | Privacy notice at submission | AI involvement, data retention, human escalation option |
| AI-analyzed feedback | Privacy policy reference | AI processing disclosure, opt-out mechanism |
| Voice/video AI processing | Explicit verbal or click-through consent | Recording, AI analysis, retention period |
Consent Records
All consent records must be retained for the duration of the data retention period plus 24 months. Consent records include:
- The version of the consent notice presented to the individual
- The date and time consent was provided
- The mechanism through which consent was obtained
- Any subsequent modifications or withdrawals of consent
Right to Withdraw
Individuals may withdraw consent for future AI interaction data collection at any time by contacting [DEPARTMENT]. Withdrawal of consent does not affect the lawfulness of processing performed prior to withdrawal. Withdrawal may limit the individual's ability to use certain AI systems.
4. Deletion Procedures
Define the technical and administrative procedures for deleting AI interaction data.
Scheduled Deletion
Data that has reached the end of its retention period and is not subject to a legal hold must be deleted within 30 calendar days. The deletion process is:
- Identification: Automated retention management system flags data that has reached its retention expiry date
- Hold Check: System verifies no active legal holds, regulatory preservation orders, or pending investigations apply to the flagged data
- Approval: Batch deletion requests are reviewed and approved by [ROLE TITLE] on a monthly cycle
- Execution: Data is permanently deleted from all primary and backup storage locations using cryptographic erasure or NIST SP 800-88 compliant methods
- Verification: Deletion is verified through automated validation that confirms data is no longer retrievable
- Documentation: Deletion certificates are generated and retained for 24 months
On-Demand Deletion (Data Subject Requests)
When an individual exercises their right to erasure (e.g., GDPR Article 17, CCPA):
| Step | Action | Timeline | Responsible |
|---|---|---|---|
| 1 | Receive and log request | Day 0 | [DEPARTMENT] |
| 2 | Verify identity and authority | Within 3 business days | [DEPARTMENT] |
| 3 | Locate all AI interaction data for the individual | Within 10 business days | IT Security |
| 4 | Assess legal basis for retention exceptions | Within 15 business days | Legal |
| 5 | Execute deletion (or document exceptions) | Within 25 business days | IT Operations |
| 6 | Confirm deletion to requestor | Within 30 calendar days | [DEPARTMENT] |
Vendor Data Deletion
For AI interaction data processed by third-party vendors:
- Vendors must confirm deletion in writing within 30 days of contract termination or data retention expiry
- Vendor deletion certificates must be obtained and retained by [DEPARTMENT]
- Annual vendor audits must verify that deletion commitments have been fulfilled
- Any vendor inability to confirm deletion constitutes a reportable incident
5. Compliance Mapping
Map retention requirements to applicable regulatory frameworks and standards.
Regulatory Alignment
| Regulation / Standard | Relevant Requirement | This Policy's Response |
|---|---|---|
| GDPR (EU) | Article 5(1)(e) — Storage limitation | Defined retention periods per data tier; automated deletion at expiry |
| GDPR (EU) | Article 17 — Right to erasure | On-demand deletion procedure with 30-day SLA |
| CCPA (California) | Section 1798.105 — Right to delete | Aligned with GDPR deletion procedures |
| HIPAA (US) | 45 CFR 164.530(j) — 6-year retention | Tier 4 retention of 36 months + legal hold covers this |
| SOX (US) | Section 802 — 7-year document retention | Financial-related AI interactions retained under Tier 3/4 schedules |
| PCI-DSS | Requirement 3.1 — Minimize data retention | Cardholder data prohibited in AI prompts; if incident occurs, retained per Tier 4 |
| ISO 42001 | A.8.4 — Data quality for AI | Retention ensures data provenance and lineage for AI quality assurance |
| NIST AI RMF | GV-6 — Data governance | Policy implements GV-6 requirements for AI data lifecycle management |
Audit Evidence
This policy and its implementation generate the following audit evidence:
- Deletion certificates with timestamps and data descriptions
- Consent records with version tracking
- Retention schedule reviews with approval signatures
- Vendor deletion confirmations
- Data subject request logs with response timelines
- Monthly compliance reports from the retention management system
Policy Review and Update
| Trigger | Action | Timeline |
|---|---|---|
| Annual review cycle | Full policy review by AI Governance Committee | Every 12 months |
| New regulation enacted | Assess impact and update compliance mapping | Within 60 days of enactment |
| AI incident involving data retention | Post-incident review of relevant retention provisions | Within 30 days of incident closure |
| New AI system onboarded | Verify retention coverage for new data types | Before system go-live |
| Vendor contract change | Review vendor-specific retention provisions | Before contract execution |
Policy Owner: [ROLE TITLE], [DEPARTMENT]
Last Reviewed: [DATE]
Next Review: [DATE]