Agent-Drift: Security Monitoring Tool for AI Agents
Agent-Drift: Security Monitoring Tool for AI Agents
Cybersecurity specialist sysinternalssuite created Agent-Drift—an open-source tool for protecting AI agents from prompt injection, behavioral drift, and other attacks. Essentially a SIEM + IDS specifically for OpenClaw.
Why This Exists
"I work in Cybersecurity and have noticed an uptick in prompt injection, behavioral drift, memory poisoning and more in the wild with AI agents"
What Agent-Drift Does
GitHub: https://github.com/lukehebe/Agent-Drift
The tool works as a wrapper for OpenClaw:
- Collects behavior baseline
- Detects behavioral drift
- Alerts through dashboard
Behavior Monitoring
Tracked patterns:
- Tool usage sequences and frequencies
- Timing anomalies
- Decision patterns
- Output characteristics
Attack Detection
| Attack | Description |
|---|---|
| Instruction override | Command hijacking |
| Role hijacking | Role takeover |
| Jailbreak attempts | Restriction bypass |
| Data exfiltration | Data leakage |
| Encoded Payloads | Obfuscated payloads |
| Memory Poisoning | Memory corruption |
| Privilege Escalation | Rights elevation |
| Indirect prompt injection | Indirect attacks |
How It Works
- Baseline Learning — first runs establish normal behavior
- Behavioral Vectors — each run becomes a multi-dimensional vector
- Drift Detection — new runs compared against baseline
- Anomaly Alerts — significant deviations trigger warnings
TL;DR
"Basically an all in one Security Incident Event Manager (SIEM) for your AI agent that acts as an Intrusion Detection System (IDS) that also alerts you if your AI starts to go crazy."
Source: u/sysinternalssuite on r/moltbot
📖 Read the full source: Reddit
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