AN1989: Analytic 1989
Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking place outside the visibility of the target organization, making detection difficult for defenders.
Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access.
Analyst context for executives and security teams
AN1989 describes a detection problem more than a specific observable behavior: the relevant activity may happen frequently, generate many false positives, and may occur outside the organization’s visibility. For leaders, the practical issue is whether the security program is relying on a noisy or externally invisible signal as proof of coverage. The safer decision is to validate what can actually be observed and shift emphasis to better-instrumented adjacent lifecycle stages, especially Initial Access when applicable.
Executive priority
Treat this as a coverage and assurance question. Executives and risk owners should ask whether SOC reporting, compliance evidence, or control assessments distinguish between “we have a rule” and “we can reliably observe and act on this behavior.” Budget and readiness discussions should prioritize telemetry, processes, and response playbooks for the adjacent stages where detection is more feasible, rather than over-investing in a high-noise analytic with limited visibility.
Technical view
This ATT&CK analytic is for the enterprise domain and lists platform PRE, with no tactic specified and no detailed official detection logic. The official guidance warns that the activity can be high-volume, false-positive prone, and potentially outside the target organization’s visibility. SOC and detection engineering teams should validate whether this analytic has actionable data sources in the local environment, then correlate any weak or external signals with more reliable evidence from related lifecycle stages, such as Initial Access, where telemetry exists.
Likely telemetry
- Evidence from adjacent lifecycle stages, especially Initial Access, where applicable
- Security monitoring data that can confirm whether the organization has visibility into the relevant pre-access activity
- External or third-party visibility sources, if used, with clear ownership and confidence scoring
- SOC alert history showing volume, false positives, and analyst disposition for this analytic
- Incident response case data linking any related alerts to confirmed activity or benign outcomes
Detection direction
- Do not treat this as a standalone high-confidence detection without local validation.
- Measure alert volume and false-positive rate before using it for executive reporting or automated response.
- Document visibility gaps where activity may occur outside the organization’s sensors or logging control.
- Use correlation with better-instrumented adjacent stages, including Initial Access where applicable, to improve decision quality.
- Tune thresholds and enrichment so analysts can separate common background activity from events that justify investigation.
Mitigation priorities
- Start with a visibility assessment: identify whether the organization can observe the activity at all.
- Prioritize controls and monitoring around adjacent lifecycle stages that are more observable and actionable.
- Maintain clear SOC runbooks for triaging noisy or low-confidence detections.
- Use incident reviews to determine whether this analytic contributed useful evidence or only alert noise.
- Represent limitations transparently in compliance, risk, and detection coverage reporting.
Analyst notes and limits
The supplied ATT&CK object is a detection analytic, not a technique, and includes no relationships, aliases, tactic mapping, or formal detection logic. Its main value is as a warning about noisy, difficult-to-observe behavior and the need to focus defensive effort on more reliable lifecycle evidence.
This take is limited to the official STIX fields and external reference supplied. No active exploitation, attribution, specific adversary behavior, affected systems, or guaranteed detection coverage can be inferred. Local telemetry, SOC history, and environment-specific exposure are required to determine operational value.
Analytic 1989
Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking place outside the visibility of the target organization, making detection difficult for defenders.
Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access.
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.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
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 (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | e1df90f31ec8… |
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.
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mitre-attack AN1989Open source URL
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