M0803: Data Loss Prevention
Data Loss Prevention (DLP) technologies can be used to help identify adversarial attempts to exfiltrate operational information, such as engineering plans, trade secrets, recipes, intellectual property, or process telemetry. DLP functionality may be built into other security products such as firewalls or standalone suites running on the network and host-based agents. DLP may be configured to prevent the transfer of information through corporate resources such as email, web, and physical media such as USB for host-based solutions.
Security context for executives and security teams
M0803: Data Loss Prevention describes Data Loss Prevention (DLP) technologies can be used to help identify adversarial attempts to exfiltrate operational information, such as engineering plans, trade secrets, recipes, intellectual property, or process telemetry. DLP functionality may be built into other security products such as firewalls or standalone suites running on the network and host-based agents. DLP may be configured to prevent the transfer of information through corporate resources such as email, web, and physical media such as USB for host-b...
Executive priority
M0803: Data Loss Prevention is an official MITRE ATT&CK mitigation. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate M0803: Data Loss Prevention by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (the platforms named in the official object), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether M0803: Data Loss Prevention appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Data Loss Prevention
Data Loss Prevention (DLP) technologies can be used to help identify adversarial attempts to exfiltrate operational information, such as engineering plans, trade secrets, recipes, intellectual property, or process telemetry. DLP functionality may be built into other security products such as firewalls or standalone suites running on the network and host-based agents. DLP may be configured to prevent the transfer of information through corporate resources such as email, web, and physical media such as USB for host-based solutions.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Techniques used
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| ICS | T0893 | Data from Local System | Data loss prevention can restrict access to sensitive data and detect sensitive data that is unencrypted. |
| ICS | T0882 | Theft of Operational Information | Apply DLP to protect the confidentiality of information related to operational processes, facility locations, device configurations, programs, or databases that may have information that can be used to infer organizational trade-secrets, recipes, and other intellectual property (IP). |
All related ATT&CK context
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.0 | Current bundle | b792bff4ac4b… | ||
| 19.1 | 1.0 | Older bundle | b792bff4ac4b… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]mitre-attackM0803Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.