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:

1. Collects behavior baseline
2. Detects behavioral drift
3. 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

1. Baseline Learning — first runs establish normal behavior
2. Behavioral Vectors — each run becomes a multi-dimensional vector
3. Drift Detection — new runs compared against baseline
4. 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."

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Source: u/sysinternalssuite on r/moltbot