Security Agent Architecture
Design LLM-powered security agents with robust tool integration, persistent memory, strategic planning, and structured reasoning for autonomous security operations.
Core Architecture Components
| Component | Function | Implementation |
|---|---|---|
| LLM Brain | Reasoning, planning, decision-making | GPT-4, Claude, or fine-tuned security models |
| Tool Interface | Interact with security tools and APIs | Function calling, MCP servers, API wrappers |
| Memory System | Context persistence across actions | Vector databases, conversation history, knowledge graphs |
| Planning Module | Multi-step task decomposition | ReAct, Tree of Thought, chain-of-thought prompting |
| Safety Layer | Action validation and guardrails | Permission system, action allowlists, human approval gates |
Agent Frameworks for Security
ReAct Pattern
The agent alternates between Reasoning (thinking about the situation) and Acting (using tools to gather information or take action). This creates an observable decision trail.
Plan-and-Execute
The agent first creates a comprehensive plan, then executes each step. Useful for complex investigations that require multiple coordinated actions.
Multi-Agent Collaboration
Specialized agents (analyst, responder, hunter) collaborate on complex tasks, each contributing their domain expertise.
Security Tool Integration
Autonomous agents need access to security tools to be effective:
- EDR/XDR: Query endpoint telemetry, isolate hosts, collect forensic data, kill processes
- SIEM: Search logs, create correlation rules, manage alerts, run saved queries
- Firewall/WAF: Block IPs, update rules, check policy, create temporary blocks
- Vulnerability Scanner: Launch scans, retrieve results, track remediation status
- Threat Intelligence: Look up IOCs, check reputation, query threat feeds
- Identity Provider: Reset passwords, disable accounts, review access permissions
Memory Systems
Working Memory
Short-term context for the current task: alert details, investigation progress, tool outputs from the current session.
Episodic Memory
Records of past incidents: what worked, what failed, and lessons learned that inform future decisions.
Semantic Memory
General security knowledge: ATT&CK techniques, playbook templates, organizational policies, and network topology.
Procedural Memory
Learned workflows and response patterns refined through experience and analyst feedback over time.
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