Specification
- Skill ID
- dynatrace/dynatrace-for-ai/dt-sec-contextualization
- Publisher
- dynatrace
- Repository
- dynatrace-for-ai
- Installs
- 0
- Files
- 5
- License
- Apache-2.0
- Synced
- Sep 23, 2026
How to use it
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
dynatrace/dynatrace-for-ai/dt-sec-contextualizationInstalls these files- SKILL.md
- references/correlation-and-coverage.md
- references/entity-enrichment.md
- references/identity-mapping.md
- references/ioc-enrichment.md
What this skill tells the agent
Security Contextualization Skill
Resolve security signals and entity attribute sets to runtime Dynatrace Smartscape entities, summarize findings across entity levels, and connect signals that land on different levels (e.g. a detection on a K8S_POD vs. a CVE on a KUBERNETES_NODE) via a shared runtime entity.
What This Skill Covers
- Identity → Smartscape mapping — given a row carrying any of
dt.smartscape_source.id,container_image.digest,container_image.id,host.ip,dt.entity.*, ork8s.*fields, resolve it to a Smartscape entity at any requested level (CONTAINER / K8S_POD / workload / K8S_NODE / HOST / cloud /GENAI_SERVICE— AI/GenAI workloads). - Artifact → runtime bridge —
container_image.digest→smartscapeNodes CONTAINER→is_part_of.*→ parent workload orruns_on.host→ HOST. Works without pre-enricheddt.smartscape_source.id. - Cross-level correlation — tiered entity matching to determine whether two findings (e.g. a detection and a CVE from different legs) relate through a shared runtime entity. Tier 1: exact entity id match; Tier 2: same workload/pod/host by name; Tier 3: same namespace/cluster (context-only — does not contribute to scoring).
- Pod → node topology — resolve
K8S_PODto itsK8S_NODEviak8s.node.name(co-projected field) or Smartscape edge traversal. Enables "detection hit pod X — does that pod run on a vulnerable node?" - Coverage match recipes — 2-way and 3-way container→workload match patterns shared across dt-sec-insights coverage counting queries.
- Entity enrichment — given findings, IoC matches, or raw Smartscape nodes, produce per-entity risk-level breakdowns and entity-key bundles for downstream scoring.
- IoC enrichment — attribute an already-matched IoC (IP / domain / URL / email / CVE / hash / MITRE TTP) with adversary context (actor, malware family, MITRE technique, targeting, provider) by reverse-looking-up the ingested
THREAT_REPORTevents whose observable arrays contain that IoC.
When to Use This Skill
| Intent / trigger | Reference |
|---|---|
| Map findings / IoC matches to workloads, hosts, or cloud entities | identity-mapping.md -> entity-enrichment.md |
| Which Smartscape entity does this container image / digest run as? | identity-mapping.md § Mapping Primitive (Path 2 - container digest) |
| Do this detection and this CVE relate via a shared entity? | correlation-and-coverage.md § Correlation |
| Pod X fired - does it run on a vulnerable node? | correlation-and-coverage.md § Correlation (Pod->Node Topology) |
| Per-entity risk summary (Critical/High/Medium/Low) | entity-enrichment.md |
| Coverage match recipe - which workloads are covered by product Y? | correlation-and-coverage.md § Coverage |
| Which entity-identity fields are relevant to a finding type? | identity-mapping.md § Data Model |
| Enrich a matched IoC (IP/domain/hash/CVE/...) with threat-report adversary context | ioc-enrichment.md |
| Scope findings to AI/GenAI workloads; which processes belong to an AI service; resolve a process to its AI service | identity-mapping.md § Mapping Primitive (Path 4 - GENAI_SERVICE -> SERVICE -> PROCESS) |
How This Skill Is Organized
- SKILL.md (this file) — entry point and routing.
- references/
- **identity-mapping.md** — generalized identity->Smartscape resolver (mapping primitive Paths 1/2/3/4), pre-flight identifier checks, level selection, and entity-identity field guidance.
- **entity-enrichment.md** — consumers of the mapping primitive: cloud (Path 1), K8s workload (3-way), host-by-IP, host-by-entity, natural-language fallback, problem->entities->findings chain. Per-entity risk-level breakdowns (Critical/High/Medium/Low).
- **correlation-and-coverage.md** — cross-level entity convergence, pod->node topology resolution, scoring contract, and 2-way/3-way coverage match recipes shared with dt-sec-insights.
- **ioc-enrichment.md** — reverse-lookup IoC enrichment: attribute a matched IoC to ingested
THREAT_REPORTevents and surface adversary context (actor / malware / MITRE / targeting). Single and batch (per-IoC) templates; supported-IoC taxonomy.
Universal Best Practices
- Always load `dt-dql-essentials` first — DQL syntax and function names differ from SQL. Confirm all functions before generating queries.
- Ground every query in a named template — do not improvise Smartscape joins. The 3-way match, digest→CONTAINER→workload, and pod→node traversal patterns are precise; deviating produces silent zero-row results.
- Run the pre-flight check before the full 3-way enrichment — external providers vary widely. Confirm at least one identifier path is populated before running the expensive append chain.
- Check `dt.smartscape_source.type` before trusting Path 1 — a non-null
dt.smartscape_source.idis not proof of workload-level resolution; the field may point to a namespace, cluster, or cloud resource. Only K8s workload types (K8S_DEPLOYMENT,K8S_DAEMONSET,K8S_STATEFULSET,K8S_CRONJOB,K8S_JOB,K8S_REPLICASET) are eligible for workload enrichment via Path 1. - Dedup early and after `append` — dedup before joins to collapse re-ingested duplicates; dedup again after
appendbecause the same finding can match multiple paths. - Tier 3 correlation is context only — same namespace/cluster shared by two findings does not raise the exposure score. Never treat a cluster-level shared attribute as proof of entity-level relatedness.
- Route topology queries to `dt-obs-kubernetes` — pod→node placement and Smartscape edge traversal patterns live in
dt-obs-kubernetes/references/pod-node-placement.md. Do not re-author them here; reference them and apply the output incorrelation-and-coverage.md. - No `dt.system.bucket` filters — security event data may live in any bucket; filtering by bucket risks hiding findings.
- THREAT_REPORT is the one `security.events` query allowed here — reverse lookup only.
ioc-enrichment.mdattributes a matched IoC to reports (IoC → report). Broad THREAT_REPORT overviews, IOC rollups, and forward report → environment correlation stay indt-sec-insights(threat-intelligence.md). Never author finding/posture queries here.
Related Skills
| Skill | Role |
|---|---|
dt-dql-essentials | Load first. Core DQL syntax, functions, Smartscape patterns. |
dt-sec-insights | Consumer of mapping primitive; owns finding-schema queries and coverage counting logic. Owns forward threat-intel (report → environment correlation, overviews, IOC rollups) in threat-intelligence.md; this skill owns only the reverse IoC → report enrichment (ioc-enrichment.md). |
dt-sec-ioc-hunting | Routes cross-evidence correlation and entity enrichment to this skill. |
dt-obs-kubernetes | Pod→node topology; K8s entity placement patterns. |
dt-obs-hosts | Host inventory; process-level context for HOST/PROCESS_GROUP findings. |
dt-obs-aws / dt-obs-azure / dt-obs-gcp | Cloud Smartscape topology for cloud-entity enrichment. |
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