Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

161 lines
5.8 KiB
Python

#!/usr/bin/env python3
"""Agent for implementing security monitoring with Datadog.
Configures Cloud SIEM detection rules, queries security signals,
manages log pipelines, and audits security monitoring coverage
using the Datadog API.
"""
import json
import sys
from pathlib import Path
from datetime import datetime
try:
import requests
except ImportError:
requests = None
class DatadogSecurityAgent:
"""Manages Datadog security monitoring configuration."""
def __init__(self, api_key, app_key, site="datadoghq.com",
output_dir="./datadog_security"):
self.api_key = api_key
self.app_key = app_key
self.base_url = f"https://api.{site}/api"
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
self.findings = []
def _get(self, path, params=None):
if not requests:
return None
try:
return requests.get(
f"{self.base_url}{path}", params=params,
headers={"DD-API-KEY": self.api_key, "DD-APPLICATION-KEY": self.app_key},
timeout=15,
)
except requests.RequestException:
return None
def _post(self, path, data=None):
if not requests:
return None
try:
return requests.post(
f"{self.base_url}{path}", json=data,
headers={"DD-API-KEY": self.api_key, "DD-APPLICATION-KEY": self.app_key,
"Content-Type": "application/json"},
timeout=15,
)
except requests.RequestException:
return None
def list_security_rules(self):
"""List configured security detection rules."""
resp = self._get("/v2/security_monitoring/rules")
if resp and resp.status_code == 200:
rules = resp.json().get("data", [])
return [{"id": r["id"], "name": r.get("name"), "enabled": r.get("isEnabled"),
"type": r.get("type")} for r in rules]
return []
def query_security_signals(self, query="*", hours=24):
"""Query security signals from Cloud SIEM."""
now = datetime.utcnow()
body = {
"filter": {"query": query, "from": f"now-{hours}h", "to": "now"},
"sort": "timestamp", "page": {"limit": 25},
}
resp = self._post("/v2/security_monitoring/signals/search", body)
if resp and resp.status_code == 200:
signals = resp.json().get("data", [])
by_severity = {}
for s in signals:
sev = s.get("attributes", {}).get("severity", "unknown")
by_severity[sev] = by_severity.get(sev, 0) + 1
return {"total": len(signals), "by_severity": by_severity}
return {"total": 0}
def list_log_pipelines(self):
"""List log processing pipelines."""
resp = self._get("/v1/logs/config/pipelines")
if resp and resp.status_code == 200:
pipelines = resp.json()
return [{"id": p["id"], "name": p.get("name"), "enabled": p.get("is_enabled"),
"type": p.get("type")} for p in pipelines]
return []
def check_log_indexes(self):
"""Check log index configuration for retention."""
resp = self._get("/v1/logs/config/indexes")
if resp and resp.status_code == 200:
indexes = resp.json().get("indexes", [])
for idx in indexes:
retention = idx.get("num_retention_days", 0)
if retention < 90:
self.findings.append({"severity": "medium", "type": "Short Log Retention",
"detail": f"Index '{idx.get('name')}' retains {retention} days"})
return indexes
return []
def audit_monitors(self):
"""Audit security-related monitors."""
resp = self._get("/v1/monitor", params={"tags": "security"})
if resp and resp.status_code == 200:
monitors = resp.json()
return {"total": len(monitors),
"by_state": self._count_by(monitors, lambda m: m.get("overall_state", "unknown"))}
return {"total": 0}
def _count_by(self, items, key_fn):
counts = {}
for item in items:
k = key_fn(item)
counts[k] = counts.get(k, 0) + 1
return counts
def generate_report(self):
rules = self.list_security_rules()
signals = self.query_security_signals()
pipelines = self.list_log_pipelines()
indexes = self.check_log_indexes()
monitors = self.audit_monitors()
if len(rules) < 10:
self.findings.append({"severity": "medium", "type": "Low Rule Coverage",
"detail": f"Only {len(rules)} detection rules configured"})
report = {
"report_date": datetime.utcnow().isoformat(),
"detection_rules": {"count": len(rules), "rules": rules[:20]},
"security_signals": signals,
"log_pipelines": {"count": len(pipelines), "pipelines": pipelines},
"monitors": monitors,
"findings": self.findings,
"total_findings": len(self.findings),
}
out = self.output_dir / "datadog_security_report.json"
with open(out, "w") as f:
json.dump(report, f, indent=2)
print(json.dumps(report, indent=2))
return report
def main():
if len(sys.argv) < 3:
print("Usage: agent.py <api_key> <app_key> [--site datadoghq.eu]")
sys.exit(1)
site = "datadoghq.com"
if "--site" in sys.argv:
site = sys.argv[sys.argv.index("--site") + 1]
agent = DatadogSecurityAgent(sys.argv[1], sys.argv[2], site)
agent.generate_report()
if __name__ == "__main__":
main()