DapplePot is an AI Agent Security and Observability platform that helps enterprises monitor, secure, and govern AI agents in production.
As organizations deploy AI agents that can access data, use tools, execute workflows, and make autonomous decisions, traditional security and observability tools struggle to provide meaningful visibility into agent behavior and risk. DapplePot bridges this gap by delivering real-time monitoring, risk detection, and governance specifically designed for AI agents.
The platform captures agent actions, tool usage, LLM interactions, and data access events to provide complete visibility into how AI agents operate. DapplePot continuously analyzes agent behavior, detects security and compliance risks, and helps teams identify issues such as prompt injection, tool misuse, unauthorized actions, sensitive data exposure, excessive autonomy, and other AI-specific threats.
Built around industry frameworks such as the OWASP LLM Top 10 and Agentic AI security risks, DapplePot enables security, platform, and AI engineering teams to confidently deploy and scale AI agents while maintaining security, compliance, and operational control.
Key Capabilities
- AI Agent Observability
- AI Governance & Guardrails
- Real-Time Risk Detection
- Agent Behavior Analysis
- Security & Compliance Controls
- Audit & Investigation Workflows
- OWASP-Aligned Risk Monitoring
Best For
- Enterprises deploying AI agents in production
- Security teams managing AI risk
- Platform engineering teams
- AI/ML engineering teams
- Organizations building autonomous workflows and agentic applications
