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Audit Trail investigations - who changed what, key compromise, cost spike root cause, compliance evidence (SOC 2/PCI), and AI activity auditing.

Use this Skill: https://skilld.dev/gh/datadog-labs/agent-skills/dd-audit

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compliance-reportSKILL.md

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Audit Trail: Compliance Evidence Report

Generate auditor-ready evidence from Datadog Audit Trail for SOC 2 and PCI DSS control requirements.

Prerequisites

pup auth login   # OAuth2 (recommended)
# or set DD_API_KEY + DD_APP_KEY with audit_logs_read scope

Read First

See references/control-mapping.md for the full control → query mapping table and retention requirements by framework.

Retention Check (Run First)

PCI requires 12 months. Datadog default retention is 90 days. Check whether archive is configured:

pup audit-logs search --query "@evt.name:\"Audit Trail\" @action:modified" --from 90d -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource: .attributes.attributes.asset.type
    }]'

If the requested time window exceeds 90 days and no archive is confirmed, surface this gap in the report header.

Workflow

  1. Confirm: framework (SOC 2 / PCI DSS), time window, org scope
  2. Run retention check
  3. Run each relevant control query
  4. Format output using the Evidence Report template

SOC 2 Queries

CC6.2 — User Provisioning / Deprovisioning

pup audit-logs search \
  --query "@evt.name:\"Access Management\" @asset.type:user @action:(created OR deleted OR modified)" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      affected_user: .attributes.attributes.asset.id
    }]'

CC6.3 — Role and Permission Changes

pup audit-logs search \
  --query "@evt.name:\"Access Management\" @asset.type:role" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      role_id: .attributes.attributes.asset.id
    }]'

CC6.6 — Failed Logins and Suspicious Access

pup audit-logs search \
  --query "@evt.name:Authentication @action:login @status:error" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      ip: .attributes.attributes.network.client.ip,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

CC7.2 — Privileged / Support User Actions

pup audit-logs search \
  --query "@evt.actor.type:SUPPORT_USER" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      support_actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type,
      resource_id: .attributes.attributes.asset.id
    }]'

PCI DSS Queries

PCI 10.2.2 — Actions by Privileged Users

Same as CC7.2 above. Also include org-level admin actions:

pup audit-logs search \
  --query "@evt.name:\"Organization Management\"" \
  --from PERIOD_START --to PERIOD_END --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type
    }]'

PCI 10.2.3 — Access to Audit Trail Itself

pup audit-logs search \
  --query "@evt.name:\"Audit Trail\"" \
  --from PERIOD_START --to PERIOD_END --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type
    }]'

PCI 10.2.4 — Invalid Access Attempts

Same as CC6.6 failed logins above.

PCI 10.2.5 — All Authentication Events

pup audit-logs search \
  --query "@evt.name:Authentication @action:login" \
  --from PERIOD_START --to PERIOD_END --limit 1000 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      auth_method: .attributes.attributes.auth_method,
      result: .attributes.attributes.status,
      ip: .attributes.attributes.network.client.ip,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

PCI 10.2.7 — Object Creation and Deletion

pup audit-logs search \
  --query "@action:(created OR deleted)" \
  --from PERIOD_START --to PERIOD_END --limit 1000 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type,
      resource_id: .attributes.attributes.asset.id,
      ip: .attributes.attributes.network.client.ip
    }]'

Evidence Report Template

# Datadog Audit Trail — Compliance Evidence Report
Framework: [SOC 2 / PCI DSS]
Organization: [org name]
Period: [start] to [end]
Generated: [date]

## Scope Boundary
This report covers administrative actions within the Datadog platform.
It does not cover actions taken within systems that Datadog monitors.

## Retention Status
[✓ Full period covered by Audit Trail retention]
[⚠ Requested period exceeds 90-day default. Archive config required for complete coverage.]

---

## [Control ID] — [Control Name]
Events found: [N]

| Timestamp | Actor | Action | Resource Type | Resource ID | IP | Country |
|-----------|-------|--------|---------------|-------------|-----|---------|
| ...       | ...   | ...    | ...           | ...         | ... | ...     |

[Repeat per control]

---

## Gaps
[List any controls where data was unavailable or incomplete, and why]

Scope Caveat

Datadog Audit Trail covers the Datadog platform as the system being audited. For PCI purposes, this is evidence that the monitoring platform's access controls are functioning — not direct evidence about the cardholder data environment (CDE) itself. Auditors should understand this scope boundary.

References

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub14d

    The skill provides a set of tools and templates for auditing Datadog environments, including compliance reporting, security investigations, and API key compromise analysis. It utilizes the official Datadog CLI tool ('pup') and APIs for data retrieval and processing. No malicious patterns or security vulnerabilities were identified.

  • Socket14d

    No alerts

  • Snyk14d

    Risk: LOW · No issues

Signed by skilld at 0d12930. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 5 months ago
Other metadata
metadata
{
  "version": "0.1.0",
  "author": "datadog-labs",
  "repository": "https://github.com/datadog-labs/agent-skills",
  "tags": "datadog,audit,audit-trail,security,compliance,dd-audit",
  "alwaysApply": "false"
}
  • Security
  • API
  • datadog
  • audit
  • audit-trail
  • compliance
  • investigation
  • logging

README badge

README badge for datadog-labs/agent-skills/dd-audit

Queries Datadog Audit Trail to investigate user activity, configuration changes, and compliance events using the pup audit-logs command. Covers security investigations (who changed what), key compromise auditing, cost spike root cause analysis, SOC 2/PCI compliance reporting, and AI assistant activity tracking.

Generated from the current SKILL.md.

What time window can I query?
Default retention is 90 days. Queries beyond 90 days require archive configuration to S3/GCS/Azure Blob. Always verify the requested time window falls within retention before running a query.
What permissions do I need?
The API key or app key must have the `audit_logs_read` scope. Use OAuth2 login with `pup auth login` or set DD_API_KEY and DD_APP_KEY with the appropriate scope.
Can I audit AI assistant activity?
Yes. The skill includes an ai-activity-audit sub-skill for auditing MCP tool calls and generating AI governance reports.
What fields can I search on?
You can filter by user email, actor type, action verb, event category, resource type, API/app key ID, client IP, geolocation, and HTTP path using Lucene-style syntax matching the Log Explorer syntax.
What should I do if a query times out?
Narrow the time window or add more filters to reduce the result set scope.

Generated from the current SKILL.md. These answers refresh after source changes.