dt-sec-insights

name	dt-sec-insights
description	Dynatrace Security Insights for querying and analyzing security data in `security.events`: Runtime Vulnerability Analytics (RVA — third-party + code-level), Runtime Application Protection (RAP), Automated Detections (with MITRE ATT&CK), Security Posture Management — KSPM (CIS/DORA/NIST/STIG) and CSPM/VSPM (PCI/ISO/HIPAA/GDPR) — plus externally ingested security events from third-party products and tools. Covers vulnerability finding/scan events, detection finding events, compliance finding/scan events, and runtime entity contextualization of security findings. Use when asked: "show me open critical vulnerabilities", "which vulnerable functions are in use and publicly exposed?", "top vulnerable libraries / K8s workloads", "what new vulnerabilities appeared in the last 24h?", "what's our CIS/DORA compliance pass rate?", "show SQL injection detections", "map external findings to K8s workloads", "which hosts are not covered by vulnerability scanning?", "cross-provider critical findings summary".
license	Apache-2.0

Security Insights Skill

Query and analyze Dynatrace security insights data using DQL. The covered data lives in security.events, emitted either by Dynatrace-native sources (RVA, RAP, Automated Detections, SPM) or by external products ingested via integrations (AWS Security Hub, Amazon GuardDuty, GitHub Advanced Security, Snyk, Qualys, Tenable, etc.).

What This Skill Covers

• Vulnerability management — open CVEs on running code from DT-native RVA (risk-ranked with Dynatrace Security Score and the four-dimension runtime assessment: vulnerable-function-in-use, public network exposure, reachable data assets, public exploit available) plus external SCA / SAST / image scanners.
• Compliance posture — DT-native KSPM (Kubernetes-only: CIS, DORA, NIST, STIG) plus CSPM/VSPM and external compliance/posture providers covering broader standards (PCI DSS, ISO 27001, HIPAA, GDPR, and more).
• Runtime attacks and threats — DT-native detections (RAP runtime attacks, Automated Detections rules) plus external detection providers.
• Scan coverage analysis — covered vs. not-covered k8s workloads/hosts/processes, by Dynatrace scanning feature (Library Vulnerability Analytics, Operating System Vulnerability Analytics, Code-level Vulnerability Analytics) or by external product.
• Entity enrichment — map external findings to Dynatrace runtime entities (hosts, K8s workloads, cloud resources) via Smartscape.
• Dashboards / KPIs — tiles, top-N tables, trend charts, coverage donuts for security data visualization.

When to Use This Skill

✅ Must-first routing rule: identify user intent first, then load the matching primary reference from Quick Start: Find Your Use Case before generating DQL.

Identify the intent, then load the matching reference before writing DQL.

Cross-cutting (any / all finding types)

Intent / example	Reference	Pattern
Security posture / overview across all products (incl. DT-native)	all-security-events.md § Broad-Question Query Decomposition	3-stream decomposition (external+detections 24h / RVA 30m / KSPM 1h), merged
Findings on a specific entity — direct or related (blast radius)	entity-enrichment.md · all-security-events.md	Broad entity-security questions must decompose: external *_FINDING by dt.smartscape_source.id / dt.entity.* / k8s.* (24h) + DT RVA entity scope (30m) + DT SPM entity scope (1h)
Findings from a specific provider	all-security-events.md § Scoping to a Specific Provider	contains(lower(event.provider | product.vendor), "<p>")
Which third-party / external tools are sending data (DT-native excluded)	all-security-events.md § Which external integrations are active	external-only enumeration (single query)
Which security products are integrated? / what security data do we have? (default: include DT-native RVA + KSPM)	all-security-events.md § Broad-Question Query Decomposition	3-stream decomposition; never a single wide security.events scan
Which products cover a specific entity	coverage.md · all-security-events.md	summarize by product.*; findings-vs-scans split

Routing tie-breaker: an unqualified "which security products are integrated? / are we covered? / what do we have?" defaults to the DT-inclusive 3-stream decomposition (it must query DT vulnerabilities and compliance). Take the external-only single query only when the user explicitly scopes to external / third-party tools ("which external tools are sending us data?").

Vulnerabilities (CVE management)

Intent / example	Reference	Pattern
Counts / severity ("how many critical?", by risk + mute status)	vulnerabilities.md	RVA snapshot Steps 1–3
Most vulnerable components / hosts / workloads (rankings)	vulnerabilities-entities.md	Steps 1–3 + expand typed related_entities.<group>.ids → smartscapeNodes lookup on id_classic — ⚠ k8s.*/dt.entity.* are null on RVA events
CVE / library lookup; "am I vulnerable to log4shell?"	vulnerabilities.md § Entity Scoping	Step 2 CVE/component filter; scope RVA to a known entity
Blast radius — which entities are affected by CVE X	vulnerabilities-entities.md	related_entities.* indirect-relation expand
Lifecycle — new / resolved / MTTR	vulnerabilities.md	post-derive resolution.change_date / first_seen filter
Runtime advanced — function-in-use, exposure, exploit, data-assets	vulnerabilities.md	Davis-assessment fieldsAdd (Step 3)
External scanner vulns — containers / artifacts / components	vulnerabilities-external.md	VULNERABILITY_FINDING + external routing
Verify external vulnerability findings with RVA	vulnerabilities-external.md § Verify external vulnerability findings with RVA · entity-enrichment.md	First match the same vulnerability by vulnerability.references.cve; then prove runtime relatedness via direct dt.smartscape* IDs, container-image digest → running CONTAINER, or host host.ip → Smartscape HOST
"Newly reported this period and not in the previous period" (external)	vulnerabilities-external.md · common-patterns.md § 18	prior-period anti-join (isNull(right.*)) — a finding.time.created filter is NOT equivalent

Detections (threats & attacks)

Intent / example	Reference	Pattern
Severity / time-window overview (DT + external)	detections.md · all-security-events.md	DETECTION_FINDING summary; default unqualified timeframe is 2h, widen to 24h only if empty
By attack type (SQL injection, crypto-mining, …)	detections.md	finding.type substring match
Attacker IPs / campaigns	detections.md	expand actor.ips + ip()
MITRE technique / sub-technique	detections.md	threat.attack.* arrays
RAP-only / Automated-Detections-only	detections.md § Provider Routing	product.name=="Runtime Application Protection" / event.provider=="Dynatrace Automated Detections"
Map detections to entities; repeated firing	detections.md · entity-enrichment.md	object.id grouping / enrichment
A specific external provider	all-security-events.md § Scoping to a Specific Provider	provider contains idiom

Compliance (policy violations & benchmarks)

Intent / example	Reference	Pattern
Pass-rate / posture (CIS / DORA / NIST / STIG)	compliance.md	Load compliance.md first — SPM Steps 1–2 + passRate
Critical misconfigurations	compliance.md	Load compliance.md first — Steps 1–2 + severity filter
Map control/standard → entities; per-namespace	compliance.md	metadata_json drill / entity scoping
Cloud / non-K8s (PCI/ISO/HIPAA/GDPR; AWS/Azure/GCP)	compliance.md § External	external taxonomy (compliance.standards/policy/control)
External violations grouped by standard / framework	compliance.md § External	compliance.standards is an array — expand it before summarize
Config drift / newly failing rules vs previous week (DT)	compliance.md § Week-over-Week Config Drift	prior-period anti-join — a wide fetch window is NOT a substitute
External compliance findings new this period, absent in prior	compliance.md § External	prior-period anti-join (same rule as drift)
KSPM (Kubernetes-only, DT-native)	compliance.md	product.name=="Security Posture Management"

Coverage, enrichment & dashboards

Intent / example	Reference	Pattern
Coverage / "covered vs not covered" / coverage gaps — hosts / processes / workloads	coverage.md	⚠ MUST start from smartscapeNodes + lookup scan events — summarizing scan events alone has no denominator and cannot answer a coverage question
Specific entity coverage by a DT capability (RVA, SPM, RAP, other DT-native)	coverage.md	If no relevant findings or scan/completion events exist for that entity in the capability's operational window, answer not covered — capability is likely not enabled or not configured for that entity
Map external findings → workloads / hosts / cloud	entity-enrichment.md	3-way match (K8s) / host-by-IP / Path-1 (cloud) — ⚠ always join to Smartscape; never group findings by raw object.name / k8s.namespace.name / host.name / cloud resource IDs alone
One-row-per-entity risk summary	entity-enrichment.md · dashboard-patterns.md	RVA + external merge
Dashboards — KPI tiles, top-N, trends, donuts	dashboard-patterns.md	makeTimeseries, summarization recipes

❌ Don't use for:

• Dynatrace-detected problems → dt-obs-problems
• Application/infrastructure logs → dt-obs-logs
• Distributed tracing → dt-obs-tracing
• Service performance/RED metrics → dt-obs-services

Introduction to AppSec Data

All security events are stored in security.events and are categorized by event.type:

• RVA vulnerabilities — VULNERABILITY_STATE_REPORT_EVENT (15-minute snapshots per entity)
• KSPM compliance — COMPLIANCE_FINDING (per (rule, K8s object), joined with COMPLIANCE_SCAN_COMPLETED on scan.id for latest-scan dedup)
• External compliance (CSPM / VSPM / external posture tools) — COMPLIANCE_FINDING with the external taxonomy (compliance.standards / compliance.policy / compliance.control); compliance.rule.* typically null
• Detections — DETECTION_FINDING (RAP via product.name == "Runtime Application Protection"), SECURITY_EVENT (RAP events in some tenants), Automated Detections via event.provider == "Dynatrace Automated Detections", external security tools; plus DETECTION_EXECUTION_SUMMARY for per-rule-run audit (Automated Detections only)
• Scan coverage — VULNERABILITY_SCAN, COMPLIANCE_SCAN

Full taxonomy and field reference → data-model.md

Critical Constraint: Snapshot Windows

DT RVA and KSPM are snapshot tools, not event streams. The minimum query window required for each pipeline:

• RVA: 30m fixed window (captures latest 15-min cycle); if a 30m snapshot is empty or clearly stale, use the controlled 24h latest-known-state fallback in vulnerabilities.md
• KSPM: 1h fixed window (needs latest COMPLIANCE_SCAN_COMPLETED marker for the inner-join)
• External findings (incl. CSPM/VSPM): 2h–24h+ (no snapshot semantics — these are one-shot events)

Widening these windows does NOT look back further — they only capture the latest report/scan cycle. For historical trends, use makeTimeseries over longer windows.

Default Time Ranges in the Dynatrace Apps

The UI apps show pre-set defaults in their time picker. When a user references "the app's view" without giving an explicit window, match these to align query results with what the user sees in the UI:

App	Default time picker
Vulnerabilities app	30 minutes
Threats & Exploits app	2 hours
Security Posture Management app	2 hours

These app defaults are broader than the minimum snapshot windows above (e.g. SPM app = 2h vs. KSPM pipeline minimum = 1h). The minimum window is what the inner-join / latest-cycle dedup needs to function; the app default is what the user sees on first load. Use the minimum window when generating canonical pipeline DQL; use the app default when the user asks "what does the SPM app show me right now?" or builds a dashboard tile intended to match the app view.

See vulnerabilities.md § Snapshot vs. History for details.

How This Skill Is Organized

The skill is split into two parts for scalability:

1. SKILL.md (this file) — Entry point, quick lookup, routing to the right reference
2. references/ — Detailed guidance by capability or domain:
   • data-model.md — Reference for fetch security.events — event types, providers, fields, entity scoping.
   • common-patterns.md — Cross-cutting patterns reused across vulnerability, compliance, detection, coverage, and entity-enrichment queries.
   • vulnerabilities.md — Dynatrace Runtime Vulnerability Analytics (RVA): snapshot pipeline, counts, lifecycle, runtime assessment, CLV, tracking, mute, entity scoping.
   • vulnerabilities-external.md — External SCA / SAST / image-scanner vulnerability findings (VULNERABILITY_FINDING).
   • vulnerabilities-entities.md — DT RVA entity rankings: "most vulnerable hosts / K8s workloads / components" + CVE blast radius.
   • compliance.md — Dynatrace Security Posture Management (SPM / XSPM) compliance findings and external provider compliance findings.
   • detections.md — Runtime Application Protection (RAP) detections, Automated Detection rules, and external provider detections.
   • all-security-events.md — Cross-provider queries, double-counting guard, unified summaries
   • coverage.md — Entity coverage by Dynatrace or by external security products.
   • entity-enrichment.md — Maps external security findings to Dynatrace entities (3-way match / host-by-IP / cloud).
   • dashboard-patterns.md — Query patterns for KPI tiles, trend charts, summarization recipes.
   • mistakes-and-troubleshooting.md — Diagnostics for failed queries.

Universal Best Practices

1. Always load dt-dql-essentials first — DQL syntax and function names differ from SQL. Confirm all functions in dt-dql-essentials before generating queries.

2. Ground every query in the routed reference's canonical template — do not improvise DQL. Identify intent, load the matching reference (per When to Use), and build from its canonical pipeline / named building block. Do not invent field names, enum values, join syntax, or pipeline shape from SQL habits. Deviate from a template only with syntax explicitly shown in a skill example or validated in dt-dql-essentials. If no template covers the request, say so and adapt the closest one — never fabricate fields or values.

3. No dt.system.bucket filters — security event data may live in any bucket; filtering by bucket risks hiding findings.

4. Use the correct provenance field for the family — RVA uses event.provider == "Dynatrace", SPM/detections use product.vendor == "Dynatrace". See data-model.md § Provider Taxonomy.

5. Always include an explicit from: clause — use the correct window for the query class:

   Query class	Default window	Notes
   DT RVA snapshots	30m fixed	Captures latest 15-min state-report cycle — do not widen
   DT KSPM snapshots	1h fixed	Aligned with scan-completion cycle inner-join — do not widen

| RAP / external detection retrieval or current summary | 2h first attempt | Matches Threats & Exploits app default. Widen to 24h only if zero rows returned or if the user explicitly asks for a longer window (see detections.md § Widen-on-empty fallback) | | Cross-provider summary (aggregated) | 24h | Summaries aggregate over time; start broad |

Omitting from: falls back to a default window that doesn't match snapshot semantics and produces drift between query runs. The 30m / 1h windows are not arbitrary — they're tied to the underlying RVA / SPM scan cadence. See common-patterns.md § 7 for the full window reference.

Decompose DT-inclusive broad / posture-overview questions ("which security products are integrated incl. Dynatrace-native?", posture overview, cross-category counts that include DT vulnerabilities/compliance) — never answer with one wide scan over all of security.events. Run three separate queries and merge: Stream A external + DT detections (24h, double-counting guard), Stream B DT RVA (30m), Stream C DT KSPM (1h). This keeps the high-cardinality snapshot streams in their tight windows and avoids double-counting. A narrower "which external integrations are sending data?" stays a single external-only query. See all-security-events.md § Broad-Question Query Decomposition. 6. Preserve entity identifiers on raw listings (top / latest / list / show-me — no summarize) so users see which entity each finding is on. The namespaces split by family and are not interchangeable: cross-provider *_FINDING / scan events use the generic dt.smartscape* / dt.entity* / dt.source* fields; RVA state/change events leave those null and carry refs in affected_entity* / related_entities*. Not for pure count / pass-rate summaries. Field lists and wildcard reference → common-patterns.md § 17. 7. Broad entity-security questions require the external stream too. For prompts like "security findings of this host / K8s node / workload / cluster", do not stop after DT RVA and SPM. Also run the external/cross-provider *_FINDING stream scoped with the wide entity OR chain (dt.smartscape_source.id, dt.entity.*, object.*, and relevant k8s.* fields) in 24h, then merge with RVA (30m) and SPM (1h). Treat dt.source_entity as a legacy/scan fallback, not a primary cross-provider scoping path. If the external branch returns 0 rows, report "no external findings found" with the scope used. See entity-enrichment.md and all-security-events.md. 8. Always bound raw listing and top-N results. If the user asks for "top X", "last X", or "first X", end with | sort ... | limit X (after the ranking/sort). If the user asks to list/show findings but does not explicitly ask for all data and the output is not a summary (summarize / makeTimeseries), add | limit 50 by default. Do not run unbounded raw projections on security findings. Full rule and exceptions → common-patterns.md § 16. 9. Preserve query shape — do not drop by: keys unless the user asks for coarser aggregation. The canonical cross-provider summarize always keys by {event.provider, product.name, event.type, dt.security.risk.level}. Dropping any of these silently merges rows from different providers, products, or finding types into a single count and will be penalized by evaluators. Do not replace the four-key grouping with a simpler by: {dt.security.risk.level} or by: {event.type} unless the user explicitly requests a coarser view. See common-patterns.md § 15.

10. Compliance status uses compliance.result.status.level (PASSED/FAILED/MANUAL/NOT_RELEVANT) — never event.status or "PASS"/"FAIL". Pass rate is computed on per-rule verdicts after the latest-scan dedup join on: {scan.id}. Field terminology, the dedup join, and the pass-rate rollup → compliance.md.

11. Count distinct identities, not rows, after expand / join / lookup that fan out arrays — use countDistinctExact(vulnerability.display_id) / countDistinctExact(finding.id), or dedup on identity + group key first. A plain count() is safe only when the grain entering the expand is already one row per counted item. Examples and the exception → mistakes-and-troubleshooting.md #55.

12. Interpret empty entity-coverage probes as not covered. When validating whether a specific entity is covered by a Dynatrace security capability (RVA, SPM/KSPM, RAP, or another DT-native capability), absence of the relevant findings and scan/completion events means the entity is not covered by that capability. State the likely cause: the capability is not enabled, or it is not configured / deployed to monitor that entity. Do not soften this into "no findings" when the user asked about coverage. Details → coverage.md.

13. Report empty results truthfully — never fabricate numbers. 0 rows means "no matching data," stated with the scope and filters used; never invent plausible values. Before relaxing a filter, apply the family's documented recovery (RVA 30m→24h latest-known-state, detections 2h→24h widen, RVA filters on null k8s.*/dt.entity.*/dt.smartscape* → pivot to affected_entity.*/related_entities.*) and say so explicitly if you adapt. Recovery details → vulnerabilities.md / detections.md.

For domain-specific best practices and the full diagnostic catalog, see the references listed in the "How This Skill Is Organized" section above.

External Documentation

• https://docs.dynatrace.com/docs/secure/threat-observability/concepts
• https://docs.dynatrace.com/docs/semantic-dictionary/model/security-events
• https://docs.dynatrace.com/docs/semantic-dictionary/fields

Related Skills

• dt-dql-essentials — Load first. Core DQL syntax, command reference, function catalog, Smartscape patterns.
• dt-obs-kubernetes — K8s topology; useful for security findings scoped to clusters / workloads
• dt-obs-hosts — Host inventory, process-level context; useful when a finding's affected entity is a HOST or PROCESS_GROUP
• dt-obs-services — Service-scoped queries; useful for UC-G3 "findings affecting <service-name>" and tracing from a vulnerable service to RED metrics
• dt-obs-aws / dt-obs-azure / dt-obs-gcp — Cloud Smartscape; useful for enriching external cloud-security findings against the provider's resource topology, and for hyperscaler-specific provider field handling (cloud resource IDs, ARNs, account scoping)
• dt-obs-tracing — Drill from a vulnerable / attacked entity to representative request traces
• dt-obs-problems — Get affected/related entity IDs for a problem before querying security findings (UC-G5)