DapplePot

DapplePot is a security monitoring platform focused on AI agent observability and threat detection for enterprise deployments. The platform is designed to address security risks introduced by autonomous AI agent fleets operating in production environments. Core capabilities include: - Real-time session monitoring of every LLM call, tool invocation, and agent decision across an entire fleet - Session replay functionality that records the full sequence of agent actions, allowing security and engineering teams to reconstruct any session frame by frame - Live session control, including the ability to terminate rogue sessions instantly and push policy updates to running agents without redeployment - Inline threat detection covering the OWASP LLM Top 10 and OWASP Agentic AI Top 10 risk frameworks, with over 147 security sub-checks - Cross-session health tracking to identify behavioral drift across agents over time - Immutable event logging with 90-day retention for audit and compliance purposes The platform integrates via a lightweight SDK (supporting frameworks such as Anthropic and others) with minimal code changes. Detection categories covered include prompt injection, data disclosure, tool misuse, privilege abuse, memory poisoning, hallucination risk, and unbounded resource consumption. DapplePot targets three primary personas within enterprises: AI/ML engineering teams who need production-level debugging and observability, security teams seeking to bring AI agents into their existing security perimeter, and audit/compliance teams requiring tamper-evident records of agent behavior. Alerts can be routed to external channels such as Slack and Microsoft Teams.