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Retention wins over deletion while legally required preservation is active. This helps with conflict-safe content preservation instead of the required evidence of record lifecycle assignment.

Holds preserve covered data against ordinary deletion during legal matters. The action is relevant to litigation-driven content preservation rather than evidence of record lifecycle assignment.

Disposition review provides accountable approval before managed record destruction. This helps with controlled final deletion of records instead of the required evidence of record lifecycle assignment.

Insider risk combines configured indicators to identify risky internal behavior. That addresses investigation of concerning employee data activity, whereas the current case requires accountable insider-risk case closure.

Insider risk privacy controls limit identity visibility until justified. It is used for privacy-aware insider-risk review; this scenario calls for accountable insider-risk case closure.

Indicator policies help detect defined risky employee activity patterns. That addresses policy for suspicious user exfiltration, whereas the current case requires accountable insider-risk case closure.

Better conditions reduce irrelevant flagging while retaining risk signals. It would support tuned misconduct detection quality, not the stated documented response to harmful communication.

Communication Compliance monitors supported communications for conduct and policy violations. It would support workplace communication policy review, not the stated documented response to harmful communication.

Reviewer roles control visibility of flagged communications. Its purpose is restricted sensitive-message review; the specified need is documented response to harmful communication.

AI activity records expose supported interaction metadata and DLP events. The action is relevant to specific AI interaction activity evidence rather than policy-governed processing of labeled files.

DSPM assessments highlight sensitive-data exposure patterns relevant to AI usage. This helps with Copilot-focused oversharing risk assessment instead of the required policy-governed processing of labeled files.

DSPM for AI surfaces AI activity, exposure indicators, and recommended controls. This helps with organization-wide AI data-security visibility instead of the required policy-governed processing of labeled files.

Content labels classify individual documents and may protect the file. That addresses file-level confidentiality, whereas the current case requires published label catalog for users.

Container labels govern supported site and group configuration settings. It is used for site-level classification policy; this scenario calls for published label catalog for users.

Default labeling provides a starting classification for eligible new files. That addresses baseline classification of new files, whereas the current case requires published label catalog for users.

Audit records document supported user and administrative operations. It would support file deletion activity evidence, not the stated source of a sensitive mail protection action.

eDiscovery supports case-based identification and collection of evidence. Its purpose is litigation search across supported content; the specified need is source of a sensitive mail protection action.

Holds preserve relevant items during a legal matter. It would support preservation of responsive mailbox data, not the stated source of a sensitive mail protection action.

Insider Risk cases include relevant configured behavioral risk signals. This helps with employee behavioral risk investigation instead of the required search and collect case-specific email evidence.

Content explorer summarizes classified content across supported locations. This helps with inventory of content matching a sensitive type instead of the required search and collect case-specific email evidence.

Activity explorer tracks classified-content activities over time. The action is relevant to action-centered sensitive-data event history rather than search and collect case-specific email evidence.

Auto-labeling can apply a matching classification without per-file manual selection. It is used for policy-driven classification of matching files; this scenario calls for logged declassification decision.

Recommended labeling suggests protection based on detected content. That addresses advisory classification suggestion, whereas the current case requires logged declassification decision.

User-selectable labels enable contextual classification by authors. That addresses user-driven classification decision, whereas the current case requires logged declassification decision.

Sensitive information types match structured patterns and proximity evidence. It would support structured national-identifier detection, not the stated template-specific document identification.

Classifier models identify topic and content patterns not tied to one exact token. Its purpose is semantic R&D sensitive-content detection; the specified need is template-specific document identification.

Exact data match reduces ambiguity by comparing to known reference values. It would support high-confidence match against approved data, not the stated template-specific document identification.

eDiscovery can search supported interaction records for legal response. This helps with discovery of relevant AI conversations instead of the required sensitive source exclusion from AI processing.

Supported retention policies govern preservation and expiration of interaction records. The action is relevant to regular retention of AI communications rather than sensitive source exclusion from AI processing.

Audit records capture supported AI interaction activity. This helps with AI user-action event evidence instead of the required sensitive source exclusion from AI processing.

Legal hold supersedes ordinary user deletion within its scope. That addresses mandatory legal evidence preservation, whereas the current case requires auditable record label changes.

Disposition review governs human approval before permanent deletion. That addresses reviewed record disposal, whereas the current case requires auditable record label changes.

Retention preserves records for the prescribed period before deletion. It is used for deletion following mandatory preservation; this scenario calls for auditable record label changes.