Implementing Threat Detection Tool Integration

Develop a custom LangChain tool called 'SecurityScanner' that simulates scanning a system for vulnerabilities based on a given log entry. This tool should take a 'log_entry' and 'system_id' as input and return a dictionary indicating 'vulnerabilities_found' (boolean) and a list of 'potential_threat_types'. Provide the Python code for this tool and demonstrate how to integrate it into a LangGraph agent responsible for 'Threat Detection'.

```python
from langchain.tools import BaseTool
from pydantic import BaseModel, Field
from typing import Type

class SecurityScannerInput(BaseModel):
    log_entry: str = Field(description="The security log entry to scan.")
    system_id: str = Field(description="The ID of the system from which the log originated.")

class SecurityScannerTool(BaseTool):
    name = "security_scanner"
    description = "Scans a system for vulnerabilities based on log entries."
    args_schema: Type[BaseModel] = SecurityScannerInput

    def _run(self, log_entry: str, system_id: str) -> dict:
        # ... simulate scanning logic here ...
        if "failed login" in log_entry.lower():
            return {"vulnerabilities_found": True, "potential_threat_types": ["Brute-Force"]}
        return {"vulnerabilities_found": False, "potential_threat_types": []}

    async def _arun(self, log_entry: str, system_id: str) -> dict:
        raise NotImplementedError("Async not implemented")

# Integration with LangGraph agent ...
```