07 CYBERSECURITY Regulated sectors Critical

Cybersecurity — SOAR and Incident Response

SOAR platform with AI agents to automate security incident response playbooks.

◻ intake ★★★

△ architect ★★☆

◇ vigil ★★★

⬡ licit ★★★

Architecture diagram

Context

SOAR platform with alert ingestion via Kafka, playbook engine, response orchestrator, and integrations with Crowdstrike/PAN/Jira. A SOAR using AI agents is doubly sensitive.

Flow with 4 tools

◻ Phase 01 — intake

Narrative playbooks to specs

Converts Confluence playbooks and incident response policies into executable specs.

◻ intake

intake init "SOAR Phishing Playbook" \
  --source confluence://soc/playbook-phishing-v4 \
  --source docs/incident-response-policy.docx \
  --mode enterprise

△ Phase 02 — architect

Implementation with strict guardrails

Loop with playbook tests and AUTH/SEC security verification.

△ architect

architect loop "Implement phishing playbook per spec" \
  --check "pytest tests/playbooks/test_phishing.py -q" \
  --check "vigil scan src/playbooks/ --category AUTH,SEC" \
  --max-iterations 20

⬡ Phase 03 — licit

OWASP Agentic for SOAR

Evaluates the 10 OWASP Agentic risks especially relevant: prompt injection, tool misuse, data exfiltration, cascading failures.

⬡ licit

licit init && licit trace
licit connect vigil --sarif vigil-soar.sarif
licit report --format markdown
licit gaps

Why licit is critical here

A SOAR using AI agents is doubly sensitive: it handles the most critical credentials in the organization AND uses autonomous agents that execute responses. licit evaluates the OWASP Agentic Top 10 covering exactly these risks.