mcpbeat

Dt Sec Contextualization

dynatrace/dt-sec-contextualization

>- Resolve security signals, IoC matches, or Smartscape nodes to runtime Dynatrace entities and connect findings on different entity levels through a shared runtime entity. Covers identity-to-Smartscape mapping (incl. container-image digest/ID to workload), cross-level topology (K8s pod detection vs. node CVE via pod-to-node), per-entity risk summarization, and to workloads/hosts", "which workload does this container image run as", "do these findings relate through the same runtime entity", "enrich this IoC match with entity context", "which threat report mentions this IoC". Queries security.events ONLY for THREAT_REPORT IoC enrichment (matched IoC to attributing reports); Do NOT use for broad security.events posture/overview (use dt-sec-insights), general DQL (use dt-dql-essentials), IoC hunting in logs/spans (use dt-sec-ioc-hunting), or K8s observability outside the security cross-level context (use dt-obs-kubernetes).

22k tokens
context cost
the whole folder, loaded on every use
5
files
instructions only
0
copies elsewhere
how many repositories repackaged it
118
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Dynatrace/dynatrace-for-ai --skill dt-sec-contextualization

What comes with it

79 548 bytes besides the instruction
references/correlation-and-coverage.md
references/entity-enrichment.md
references/identity-mapping.md
references/ioc-enrichment.md

The instruction itself

6 sections, as written by the author

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.*, or k8s.* 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 bridgecontainer_image.digest

smartscapeNodes CONTAINERis_part_of.* → parent workload or

runs_on.host → HOST. Works without pre-enriched dt.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_POD to its K8S_NODE via

k8s.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_REPORT events 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_REPORT events 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.id is 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 append because 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 in correlation-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.md attributes a *matched IoC* to reports

(IoC → report). Broad THREAT_REPORT overviews, IOC rollups, and forward

report → environment correlation stay in dt-sec-insights

(threat-intelligence.md). Never author finding/posture queries here.

| 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. |

How to use it

Copy the folder

Take dynatrace/dt-sec-contextualization from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.