unified
UC-AI-22 — Prevent leakage of credentials and secrets through AI systems
Detect credentials, tokens, private keys, and connection strings in prompts, pasted content, retrieved data, and generated code using pattern- and entropy-based scanning; warn users and block or redact detected secrets before model processing, logging, and storage; guide code-generating systems to reference secret managers and environment variables rather than hardcoding credentials; and store any user-supplied credentials only in a dedicated secret manager encrypted at rest. Retain detection rules, redaction logs, and storage configurations as evidence.
In catalog since 2026-09-17T22:28:00Z · Last changed 2026-09-17T22:28:00Z (f368a6cce277)
Record JSON · Open in map · Data retrieval guide
Catalog revision: 791ff2dd3a45707290badee660f185e514d15f1cf518908628f425c2f2c56ee4. A connection does not establish full coverage.
Attributes
- domain
- AI Governance
- type
- preventive
- category
- technical
Details
- unified_id
- UC-AI-22
- title
- Prevent leakage of credentials and secrets through AI systems
- statement
- Detect credentials, tokens, private keys, and connection strings in prompts, pasted content, retrieved data, and generated code using pattern- and entropy-based scanning; warn users and block or redact detected secrets before model processing, logging, and storage; guide code-generating systems to reference secret managers and environment variables rather than hardcoding credentials; and store any user-supplied credentials only in a dedicated secret manager encrypted at rest. Retain detection rules, redaction logs, and storage configurations as evidence.
- domain
- AI Governance
- control_type
- preventive
- control_category
- technical
- members
- framework
- aiuc-1
- control_id
- A008
- coverage
- full
- relationship
- equal
- guidance
Source
No record-specific source URL is provided.
Connections
- AI Guardrail Configuration & Agent Permission Review operates UC-AI-22 — Prevent leakage of credentials and secrets through AI systems
- UC-AI-22 — Prevent leakage of credentials and secrets through AI systems maps_to A008 — Prevent leakage of credentials and secrets
- framework
- aiuc-1
- control_id
- A008
- coverage
- full
- relationship
- equal
- delta
- Not provided
- source_version
- July 15, 2026 release (quarterly update cadence)
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- UC-AI-22 — Prevent leakage of credentials and secrets through AI systems mitigates AI privacy leakage and re-identification
- strength
- related
- rationale
- The same redaction pipeline that catches secrets in logs and outputs also reduces exposure of personal data held alongside them.
- UC-AI-22 — Prevent leakage of credentials and secrets through AI systems mitigates Credential and secret leakage through AI inputs, outputs, logs and generated code
- strength
- primary
- rationale
- Detecting, redacting, and safely storing credentials across prompts, outputs, logs, and generated code is the direct control for secret leakage.