C
💰 Open Source
🔄 Updated Mar 2026
💰 Pricing
Open SourceFree to use under the MIT license.
🎯 Use Cases
Securing AI chatbots against prompt injection attacks Monitoring AI agents for unauthorized tool usage Preventing sensitive data leakage in AI workflows Detecting memory poisoning attempts in long-running agents Ensuring compliance in AI systems handling PII
⚖️ Pros & Cons
✅ Pros
- Lightweight with zero dependencies
- Covers multiple AI-specific threat vectors
- Open-source and MIT licensed for easy adoption
❌ Cons
- Requires integration effort (no managed service)
- Limited to runtime detection (no static analysis)
- Dependent on community for threat intelligence updates
Overview
Open-source runtime security scanner for AI agents. Detects prompt injection, jailbreak, PII leakage, memory poisoning, and tool misuse. Zero deps, MIT licensed.
Problem It Solves
Runtime security threats in AI agents, including prompt injection, jailbreak attempts, PII leakage, memory poisoning, and tool misuse.
Target Audience: AI developers, security researchers, and organizations deploying AI agents.
Inputs
- • AI agent prompts
- • runtime logs
- • interaction data
Outputs
- • Security alerts
- • threat reports
- • mitigation suggestions
Example Workflow
- 1 Monitor AI agent interactions
- 2 Scan for known attack patterns
- 3 Detect anomalies in behavior
- 4 Generate security alerts
- 5 Provide mitigation recommendations
Sample System Prompt
Scan the following AI agent interaction for security threats: [INSERT_PROMPT_HERE]
Tools & Technologies
Alternatives
- • Microsoft Guidance
- • Rebuff
- • ArmorAI
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FAQs
- Is this agent open-source?
- True
- Can this agent be self-hosted?
- True
- What skill level is required?
- intermediate
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