n8nでMITRE ATT&CK、Qdrant、Zendeskを使用してSIEM アラートを自動化して豊富にする
上級
これはAI, SecOps分野の自動化ワークフローで、26個のノードを含みます。主にZendesk, SplitOut, GoogleDrive, ManualTrigger, SplitInBatchesなどのノードを使用、AI技術を活用したスマート自動化を実現。 n8nでMITRE ATT&CK、Qdrant、Zendeskを使ったSIEMアラートの自動豊富化
前提条件
- •Google Drive API認証情報
- •OpenAI API Key
- •Qdrantサーバー接続情報
使用ノード (26)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"meta": {
"instanceId": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "86ddd018-3d6b-46b9-aa93-dedd6c6b5076",
"name": "チャットメッセージ受信時",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-880,
360
],
"webhookId": "a9668bb8-bbe8-418a-b5c9-ff7dd431244f",
"parameters": {
"options": {}
},
"typeVersion": 1.1
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{
"id": "a5ba5090-8e3b-4408-82df-92d2c524039e",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-680,
360
],
"parameters": {
"options": {
"systemMessage": "You are a cybersecurity expert trained on MITRE ATT&CK and enterprise incident response. Your job is to:\n1. Extract TTP information from SIEM data.\n2. Provide actionable remediation steps tailored to the alert.\n3. Cross-reference historical patterns and related alerts.\n4. Recommend external resources for deeper understanding.\n\nEnsure that:\n- TTPs are tagged with the tactic, technique name, and technique ID.\n- Remediation steps are specific and actionable.\n- Historical data includes related alerts and notable trends.\n- External links are relevant to the observed behavior.\n"
}
},
"typeVersion": 1.7
},
{
"id": "67c52944-b616-4ea6-9507-e9fb6fcdbe2b",
"name": "OpenAIチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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580
],
"parameters": {
"model": "gpt-4o",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "QpFZ2EiM3WGl6Zr3",
"name": "Marketing OpenAI"
}
},
"typeVersion": 1
},
{
"id": "55f6c16a-51ed-45e4-a1ab-aaaf1d7b5733",
"name": "分割出力",
"type": "n8n-nodes-base.splitOut",
"position": [
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1220
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"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
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"name": "OpenAI埋め込み1",
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"parameters": {
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"credentials": {
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"id": "QpFZ2EiM3WGl6Zr3",
"name": "Marketing OpenAI"
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{
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"name": "デフォルトデータローダー",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
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"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "id",
"value": "={{ $json.id }}"
},
{
"name": "name",
"value": "={{ $json.name }}"
},
{
"name": "killchain",
"value": "={{ $json.kill_chain_phases }}"
},
{
"name": "external",
"value": "={{ $json.external_references }}"
}
]
}
},
"jsonData": "={{ $json.description }}",
"jsonMode": "expressionData"
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"typeVersion": 1
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{
"id": "6e8a4aed-7e8c-492a-b816-6ab1a98c312a",
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"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
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"parameters": {},
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{
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"name": "ウィンドウバッファメモリ",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
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580
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"parameters": {},
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{
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"name": "OpenAI埋め込み2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
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720
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"parameters": {
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"options": {
"dimensions": 1536
}
},
"credentials": {
"openAiApi": {
"id": "QpFZ2EiM3WGl6Zr3",
"name": "Marketing OpenAI"
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"typeVersion": 1.2
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{
"id": "695fba89-8f42-47c3-9d86-73f4ea0e72df",
"name": "ファイルから抽出",
"type": "n8n-nodes-base.extractFromFile",
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"parameters": {
"options": {},
"operation": "fromJson"
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{
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"name": "「ワークフローテスト」クリック時",
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{
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"name": "AIエージェント1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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"parameters": {
"text": "=Siem Alert Data:\nAlert: {{ $json.raw_subject }}\nDescription: {{ $json.description }}",
"options": {
"systemMessage": "You are a cybersecurity expert trained on MITRE ATT&CK and enterprise incident response. Your job is to:\n1. Extract TTP information from SIEM data.\n2. Provide actionable remediation steps tailored to the alert.\n3. Cross-reference historical patterns and related alerts.\n4. Recommend external resources for deeper understanding.\n\nEnsure that:\n- TTPs are tagged with the tactic, technique name, and technique ID.\n- Remediation steps are specific and actionable.\n- Historical data includes related alerts and notable trends.\n- External links are relevant to the observed behavior.\n\nPlease output your response in html format, but do not include ```html at the beginning \n"
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"promptType": "define",
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"name": "Marketing OpenAI"
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{
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"name": "アイテムをループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
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"parameters": {
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{
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 7,
"width": 1380,
"height": 820,
"content": "\n## Embed your Vector Store\nTo provide data for your Vector store, you need to pass it in as JSON, and ensure it's setup correctly. This flow pulls the JSON file from Google Drive and extracts the JSON data and then passes it into the qdrant collection. "
},
"typeVersion": 1
},
{
"id": "d5052d52-bec2-4b70-b460-6d5789c28d2c",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 7,
"width": 1380,
"height": 680,
"content": "\n## Talk to your Vector Store\nNow that your vector store has been updated with the embedded data, \nyou can use the n8n chat interface to talk to your data using OpenAI, \nOllama, or any of our supported LLMs."
},
"typeVersion": 1
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{
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"type": "n8n-nodes-base.stickyNote",
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"width": 2140,
"height": 900,
"content": "\n## Deploy your Vector Store\nThis flow adds contextual information to your tickets using the Mitre Attack framework to help contextualize the ticket data."
},
"typeVersion": 1
},
{
"id": "71ee28f5-84a2-4c6c-855a-6c7c09b2d62a",
"name": "構造化出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
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"parameters": {
"jsonSchemaExample": "{\n \"ttp_identification\": {\n \"alert_summary\": \"The alert indicates a check-in from the NetSupport RAT, a known Remote Access Trojan, suggesting command and control (C2) communication.\",\n \"mitre_attack_ttps\": [\n {\n \"tactic\": \"Command and Control\",\n \"technique\": \"Protocol or Service Impersonation\",\n \"technique_id\": \"T1001.003\",\n \"description\": \"The RAT's check-in over port 443 implies potential masquerading of its traffic as legitimate SSL/TLS traffic, a tactic often used to blend C2 communications with normal web traffic.\",\n \"reference\": \"https://attack.mitre.org/techniques/T1001/003/\"\n }\n ]\n },\n \"remediation_steps\": {\n \"network_segmentation\": {\n \"action\": \"Isolate the affected host\",\n \"target\": \"10.11.26.183\",\n \"reason\": \"Prevents further C2 communication or lateral movement.\"\n },\n \"endpoint_inspection\": {\n \"action\": \"Perform a thorough inspection\",\n \"target\": \"Impacted endpoint\",\n \"method\": \"Use endpoint detection and response (EDR) tools to check for additional persistence mechanisms.\"\n },\n \"network_traffic_analysis\": {\n \"action\": \"Investigate and block unusual traffic\",\n \"target\": \"IP 194.180.191.64\",\n \"method\": \"Implement blocks for the IP across the firewall or IDS/IPS systems.\"\n },\n \"system_patching\": {\n \"action\": \"Ensure all systems are updated\",\n \"method\": \"Apply the latest security patches to mitigate vulnerabilities exploited by RAT malware.\"\n },\n \"ioc_hunting\": {\n \"action\": \"Search for Indicators of Compromise (IoCs)\",\n \"method\": \"Check for NetSupport RAT IoCs across other endpoints within the network.\"\n }\n },\n \"historical_patterns\": {\n \"network_anomalies\": \"Past alerts involving similar attempts to use standard web ports (e.g., 80, 443) for non-standard applications could suggest a broader attempt to blend malicious traffic into legitimate streams.\",\n \"persistence_tactics\": \"Any detection of anomalies in task scheduling or shortcut modifications may indicate persistence methods similar to those used by RATs.\"\n },\n \"external_resources\": [\n {\n \"title\": \"ESET Report on Okrum and Ketrican\",\n \"description\": \"Discusses similar tactics involving protocol impersonation and C2.\",\n \"url\": \"https://www.eset.com/int/about/newsroom/research/okrum-ketrican/\"\n },\n {\n \"title\": \"Malleable C2 Profiles\",\n \"description\": \"Document on crafting custom C2 traffic profiles similar to the targeting methods used by NetSupport RAT.\",\n \"url\": \"https://www.cobaltstrike.com/help-malleable-c2\"\n },\n {\n \"title\": \"MITRE ATT&CK Technique Overview\",\n \"description\": \"Overview of Protocol or Service Impersonation tactics.\",\n \"url\": \"https://attack.mitre.org/techniques/T1001/003/\"\n }\n ]\n}\n"
},
"typeVersion": 1.2
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{
"id": "3aeb973d-22e5-4eaf-8fe8-fae3447909e1",
"name": "GドライブからMITREデータを取得",
"type": "n8n-nodes-base.googleDrive",
"position": [
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1220
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"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1oWBLO5AlIqbgo9mKD1hNtx92HdC6O28d",
"cachedResultUrl": "https://drive.google.com/file/d/1oWBLO5AlIqbgo9mKD1hNtx92HdC6O28d/view?usp=drivesdk",
"cachedResultName": "cleaned_mitre_attack_data.json"
},
"options": {},
"operation": "download"
},
"credentials": {
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"id": "AVa7MXBLiB9NYjuO",
"name": "Angel Gdrive"
}
},
"typeVersion": 3
},
{
"id": "3b35633c-de80-4062-8497-cb65092d5708",
"name": "QdrantコレクションにJSONを埋め込み",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
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1220
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"parameters": {
"mode": "insert",
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"qdrantCollection": {
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"mode": "id",
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},
"credentials": {
"qdrantApi": {
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"name": "Angel MitreAttack Demo Cluster"
}
},
"typeVersion": 1
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{
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"position": [
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"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"toolName": "mitre_attack_vector_store",
"toolDescription": "The mitre_attack_vector_store is a knowledge base trained on the MITRE ATT&CK framework. It is designed to help identify, correlate, and provide context for cybersecurity incidents based on textual descriptions of alerts, events, or behaviors. This tool leverages precomputed embeddings of attack techniques, tactics, and procedures (TTPs) to map user queries (such as SIEM-generated alerts or JIRA ticket titles) to relevant MITRE ATT&CK techniques.\n\nBy analyzing input text, the vector store can:\n\nRetrieve the most relevant MITRE ATT&CK entries (e.g., techniques, tactics, descriptions, external references).\nProvide structured context about potential adversary behaviors.\nSuggest remediation actions or detection methods based on the input.",
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "mitre",
"cachedResultName": "mitre"
}
},
"credentials": {
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"name": "Angel MitreAttack Demo Cluster"
}
},
"typeVersion": 1
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{
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"name": "Qdrantベクトルストアクエリ",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
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-200
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"toolName": "mitre_attack_vector_store",
"toolDescription": "The mitre_attack_vector_store is a knowledge base trained on the MITRE ATT&CK framework. It is designed to help identify, correlate, and provide context for cybersecurity incidents based on textual descriptions of alerts, events, or behaviors. This tool leverages precomputed embeddings of attack techniques, tactics, and procedures (TTPs) to map user queries (such as SIEM-generated alerts or JIRA ticket titles) to relevant MITRE ATT&CK techniques.\n\nBy analyzing input text, the vector store can:\n\nRetrieve the most relevant MITRE ATT&CK entries (e.g., techniques, tactics, descriptions, external references).\nProvide structured context about potential adversary behaviors.\nSuggest remediation actions or detection methods based on the input.",
"qdrantCollection": {
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"mode": "list",
"value": "mitre",
"cachedResultName": "mitre"
}
},
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}
},
"typeVersion": 1
},
{
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"name": "全てのZendeskチケットを取得",
"type": "n8n-nodes-base.zendesk",
"position": [
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-440
],
"parameters": {
"options": {},
"operation": "getAll"
},
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"zendeskApi": {
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"name": "Zendesk Demo Access"
}
},
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{
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"name": "MITREデータでZendeskを更新",
"type": "n8n-nodes-base.zendesk",
"position": [
0,
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],
"parameters": {
"id": "={{ $('Loop Over Items').item.json.id }}",
"operation": "update",
"updateFields": {
"internalNote": "=Summary: {{ $json.output.ttp_identification.alert_summary }}\n\n",
"customFieldsUi": {
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{
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"value": "={{ $json.output.ttp_identification.mitre_attack_ttps[0].technique_id }}"
},
{
"id": 34479570659732,
"value": "={{ $json.output.ttp_identification.mitre_attack_ttps[0].tactic }}"
}
]
}
}
},
"credentials": {
"zendeskApi": {
"id": "ROx0ipJapRomRxEX",
"name": "Zendesk Demo Access"
}
},
"typeVersion": 1
},
{
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"name": "次のチケットに進む",
"type": "n8n-nodes-base.noOp",
"position": [
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],
"parameters": {},
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},
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},
"3aeb973d-22e5-4eaf-8fe8-fae3447909e1": {
"main": [
[
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},
"0ec2c505-5721-41af-91c8-1b0b55826d9e": {
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},
"0b9897b0-149b-43ce-b66c-e78552729aa5": {
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[
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"type": "main",
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}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - 人工知能, セキュリティ運用
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
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ノードタイプ17
作成者
Angel Menendez
@djangelicAngel Menendez is a Staff Developer Advocate at n8n.io, specializing in low-code tools for cybersecurity workflows. From Puerto Rico, Angel's tech journey began by helping his father translate technical books. He later started a web development business and transitioned from a career as a flight attendant to cybersecurity engineering. His workflows have saved companies significant time. Outside work, Angel enjoys time with his two sons, riding electric bikes, reading, and exploring new places.
外部リンク
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