security-generate-security-sample-data
Generate sample security events, attack scenarios, and synthetic alerts for Elastic Security. Use when demoing, populating dashboards, testing detection rules, or setting up a POC.
What this skill does
# Generate Security Sample Data Generate ECS-compliant security events, multi-step attack scenarios, and synthetic alert documents that populate Elastic Security dashboards, the Alerts tab, and Attack Discovery. ## Quick start For a zero-friction experience that generates everything and opens Kibana: ```bash node skills/security/generate-security-sample-data/scripts/demo-walkthrough.js ``` ## Workflow ```text - [ ] Step 1: Set environment variables - [ ] Step 2: Generate sample data - [ ] Step 3: Explore in Kibana - [ ] Step 4: Clean up when done ``` ### Step 1: Set environment variables ```bash export ELASTICSEARCH_URL="https://your-project.es.region.aws.elastic.cloud" export ELASTICSEARCH_USERNAME="admin" export ELASTICSEARCH_PASSWORD="your-password" export KIBANA_URL="https://your-project.kb.region.aws.elastic.cloud" ``` ### Step 2: Generate sample data #### Generate everything at once ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js \ system endpoint okta aws windows --scenarios --alerts ``` #### Generate only events ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js \ system endpoint --count 100 ``` #### Generate only attack scenarios ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js --scenarios ``` #### Generate only synthetic alerts ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js --alerts ``` ### Step 3: Explore in Kibana After generating data, direct the user to these pages: - **Security > Alerts** — synthetic alerts with MITRE ATT&CK mappings - **Security > Attack Discovery** — requires an LLM connector to analyze alerts - **Security > Hosts** — host activity from sample events - **Security > Overview** — summary of all security data - **Discover** — raw events across all data streams ### Step 4: Clean up when done ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js --cleanup ``` ## What gets generated Sample data spans 5 packages (system, endpoint, windows, aws, okta) and 4 focused attack scenarios covering the most common demo themes: Windows credential theft, AWS cloud privilege escalation, Okta identity takeover, and a full ransomware kill chain. Synthetic alert documents are indexed into `.alerts-security.alerts-default` with MITRE ATT&CK mappings, severity levels, and risk scores. All events use RFC 5737 / RFC 2606 safe addresses. For full tables of packages, scenarios, and alerts see [references/sample-data-reference.md](references/sample-data-reference.md). ## Continuous mode Stream events to simulate a live environment: ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js \ --continuous --interval 15 ``` Every 5th batch includes an attack scenario; every 10th batch adds synthetic alerts. Press Ctrl+C to stop. ## Tool reference ### sample-data.js | Flag | Description | | ----------------- | ------------------------------------------------ | | `--count`, `-n` | Events per package (default: 50) | | `--scenarios` | Run all attack simulation scenarios | | `--scenario NAME` | Run a specific scenario | | `--alerts` | Generate synthetic alert documents | | `--cleanup` | Remove all sample data and alerts | | `--continuous` | Stream live events (Ctrl+C to stop) | | `--interval N` | Seconds between continuous batches (default: 30) | | `--json`, `-j` | Output results as JSON | | `--yes`, `-y` | Skip confirmation prompts | ### demo-walkthrough.js Zero-friction runner that generates everything and opens Kibana. | Flag | Description | | -------------- | ------------------------------------- | | `--cleanup` | Remove all sample data, alerts, case | | `--continuous` | Generate then stream live events | | `--count N` | Events per package (default: 50) | | `--interval N` | Seconds between batches (default: 30) | ## Examples ### Quick demo for a stakeholder > "Set up a demo environment so I can show Attack Discovery to my VP." ```bash node skills/security/generate-security-sample-data/scripts/demo-walkthrough.js ``` ### Targeted scenario testing > "Generate only the ransomware attack chain to test our detection rules." ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js \ --scenario ransomwareChain --alerts ``` ### Simulating a live SOC > "Keep generating events so the dashboards stay active during the demo." ```bash node skills/security/generate-security-sample-data/scripts/demo-walkthrough.js --continuous ``` ### Cleaning up after a demo > "Remove all sample data from my project." ```bash node skills/security/generate-security-sample-data/scripts/sample-data.js --cleanup ``` ## Guidelines - All generated documents are tagged with `tags: ["elastic-security-sample-data"]` for safe cleanup. The cleanup command only deletes documents with this marker. - If marker fields are not indexed in a data stream, cleanup falls back to scanning `_source.tags` for matching sample documents from the last 14 days. - Synthetic alerts are indexed directly into `.alerts-security.alerts-default` — they do not require detection rules to be installed or enabled. - Attack Discovery requires an LLM connector (OpenAI, Anthropic, Google Gemini, or similar) configured in Kibana under Stack Management > Connectors. The "Complete" project tier unlocks the feature, but the connector must be set up separately. - Use the `case-management` skill for creating investigation cases from alerts. ## Production use - **Do not run against production clusters** unless you intend to inject synthetic data alongside real alerts. Sample events and alerts are tagged for cleanup but will appear in dashboards, the Alerts tab, and Attack Discovery alongside real data. - All write operations (`generate`, `--cleanup`, `--continuous`) prompt for confirmation. Pass `--yes` or `-y` to skip when called by an agent. - `--cleanup` runs `deleteByQuery` across all sample data indices — verify environment variables point to the intended cluster before running. - `--continuous` mode indexes events indefinitely until manually stopped with Ctrl+C. ## Environment variables | Variable | Required | Description | | ------------------------ | -------- | ------------------------------------------ | | `ELASTICSEARCH_URL` | Yes | Elasticsearch URL | | `ELASTICSEARCH_API_KEY` | Yes\* | Elasticsearch API key | | `ELASTICSEARCH_USERNAME` | Yes\* | Elasticsearch username (alternative) | | `ELASTICSEARCH_PASSWORD` | Yes\* | Elasticsearch password (alternative) | | `KIBANA_URL` | No | Kibana URL (for case creation and links) | | `KIBANA_USERNAME` | No | Kibana username (if using Kibana features) | | `KIBANA_PASSWORD` | No | Kibana password (if using Kibana features) | \*Either API key or username/password is required for Elasticsearch.
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