
AI agent fleet security platform for runtime monitoring and threat detection.
AI agent fleet security platform for runtime monitoring and threat detection.
DapplePot is an AI agent security and monitoring platform designed for enterprises running fleets of autonomous AI agents. It provides visibility, control, and threat detection across the full lifecycle of agent sessions — from the first LLM call through cross-session fleet health analysis. Core functions: - Session Monitoring: Captures every LLM call, tool invocation, and decision made by an agent in real time. Each session is recorded as a timestamped event timeline that can be replayed frame by frame. - Threat Detection: Runs inline detection checks during runtime, post-session analysis, and cross-session correlation. Detection coverage is mapped to OWASP LLM Top 10 and OWASP Agentic AI Top 10 frameworks, with 147+ security sub-checks. - Session Control: Provides a live kill switch to terminate rogue sessions instantly. Allows operators to push policy updates to running agents without redeployment. Supports configurable agent scope including privilege levels, tool call limits, token budgets, and allowed LLM models. - Fleet Health Dashboard: Tracks risk scores, trust scores, and behavioral drift across all agents. Surfaces the most vulnerable agents and active threats across the fleet. - Compliance & Audit: Maintains a 90-day immutable event history for all sessions. Findings are mapped to OWASP controls to support incident post-mortems and AI governance audits. - SDK Integration: Deployed via a lightweight SDK (4 lines of instrumentation code) that wraps existing agent code without requiring architectural changes. Supports Anthropic and OpenAI-compatible LLM clients. Detected threat categories include: prompt injection, data disclosure, tool misuse, memory poisoning, privilege abuse, hallucination risk, goal hijacking, unexpected code execution, inter-agent communication abuse, and unbounded resource consumption. Alerts are routed to external channels including Slack and Microsoft Teams.
Common questions about DapplePot including features, pricing, alternatives, and user reviews.
DapplePot is AI agent fleet security platform for runtime monitoring and threat detection, developed by DapplePot. It is a Security for AI solution designed to help security teams with Agentic AI Security, LLM Security, LLM Guardrails.
DapplePot offers the following core capabilities:
DapplePot integrates natively with Slack, Microsoft Teams, Anthropic (Claude), OpenAI (GPT-4o). Integration support lets security teams connect DapplePot to existing SIEM, ticketing, identity, and notification systems without custom development.
DapplePot is built for security teams handling Agentic AI Security, LLM Security, LLM Guardrails, Prompt Injection. It supports workflows including real-time session monitoring of every llm call, tool use, and agent decision, session replay with frame-by-frame event timeline, inline threat detection mapped to owasp llm top 10 and agentic ai top 10 (147+ sub-checks). Teams typically adopt DapplePot when they need to security for ai capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/dapplepot
DapplePot is a commercial Security for AI solution. For detailed pricing information, visit https://dapplepot.com/ or contact DapplePot directly.
Popular alternatives to DapplePot include:
Compare all DapplePot alternatives at https://cybersectools.com/alternatives/dapplepot
DapplePot is for security teams and organizations that need Agentic AI Security, LLM Security, LLM Guardrails, Prompt Injection, AI Observability. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Security for AI tools can be found at https://cybersectools.com/categories/ai-security
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Runtime security platform for AI agents with discovery, observability, and enforcement.