Firewall Guardian:The Autonomous Anomaly Detection

Firewall Guardian is an autonomous AI agent that ingests firewall logs and rule configurations to create a "Digital Immune System" for the network.

Workflow:

Perception: The agent streams real-time logs (Syslog/NetFlow) and parses current ACL (Access Control List) rules.

Reasoning (The Brain): It uses a combination of Unsupervised Learning (to establish a baseline of "normal" traffic) and LLM/NLP Reasoning (to understand the intent of existing rules and the context of logs).

Anomaly Detection: It identifies three specific types of anomalies:

Shadow Rules: Rules that are hidden by more specific rules and never triggered (wasting resources).

Misplaced Trust: Internal IPs communicating with high-risk foreign IPs (Threat Intelligence lookup).

DDoS/Spike Patterns: Sudden volumetric spikes that indicate an attack.

Correction (Action Loop): When an anomaly is detected, the agent generates a "Patch Script." It does not run it immediately in production. Instead, it creates a Pull Request (PR) or proposes a Change Request in the SIEM/SOAR platform.

Example: If a server is getting hit by a specific malicious IP, the agent automatically drafts a rule to block that IP and suggests the change to the administrator for one-click approval.

Built With

• flask
• langchain
• openai
• python
• react.js