SOAR & Playbook Orchestration Agents
Problem Statement
When a zero-day vulnerability is announced without an available software patch (e.g., Log4Shell, Spring4Shell), organizations must deploy temporary network micro-segmentation rules or WAF mitigation patches to prevent exploitation.
Goal
Deploy an agent that reads zero-day vulnerability advisories and auto-synthesizes software mitigations, egress filter blocks, and dynamic WAF rules.
Outcome Measurement
- Protection Time: Emergency mitigation rules deployed within 10 minutes of advisory publishing.
- Service Availability: Zero disruption to unaffected application routes.
How the Code was Built
Translates vulnerability advisory text directly into declarative network access control list (NACL) configurations.
Executable Code
from pydantic import BaseModel, Fieldfrom langchain_openai import ChatOpenAIclass ZeroDayMitigation(BaseModel): vulnerability_id: str affected_ports: list[int] waf_rule_regex: str iptables_block_command: str mitigation_notes: strdef generate_zero_day_containment(advisory_text: str) -> ZeroDayMitigation: llm = ChatOpenAI(model="gpt-4o", temperature=0) structured_llm = llm.with_structured_output(ZeroDayMitigation) prompt = f"Analyze zero-day vulnerability advisory and generate emergency network containment configuration:\n{advisory_text}" return structured_llm.invoke(prompt)if __name__ == "__main__": advisory = "CVE-2026-9999 allows remote code execution via HTTP Header 'X-Api-Exploit' targeting web apps listening on port 8080." res = generate_zero_day_containment(advisory) print(f"CVE ID: {res.vulnerability_id}") print(f"WAF Regex Rule: {res.waf_rule_regex}") print(f"CLI Rule: {res.iptables_block_command}")
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