Challenge
Autonomous AI agents and MCP tool integrations operate with broad system privileges, posing severe risks including unauthorized file system manipulation, prompt-injection privilege escalation, and unmonitored external network exfiltration.
AI Security · Full Stack · SaaS
Agent Monitor is a zero-trust, local-first security platform engineered for autonomous AI agents and Model Context Protocol (MCP) clients. Operating as a transparent policy gate, Agent Monitor intercepts agent tool executions, applies deterministic rule evaluation before execution, prevents prompt-injection escalations, and logs immutable audit trails with microsecond telemetry. It empowers developers and enterprises to safely grant autonomous capabilities to LLM agents while maintaining rigorous oversight, rate limiting, data loss prevention (DLP), and human-in-the-loop approvals.

Autonomous AI agents and MCP tool integrations operate with broad system privileges, posing severe risks including unauthorized file system manipulation, prompt-injection privilege escalation, and unmonitored external network exfiltration.
Designed an in-line deterministic policy engine and real-time activity monitor that intercepts every tool call schema, verifies authorization boundaries, facilitates instant human-in-the-loop approvals, and generates cryptographically signed execution audit logs.
Delivered a zero-latency, local-first safety layer providing absolute visibility and deterministic policy enforcement across MCP clients and agentic AI runtime environments.
Deterministic Tool Execution Policy Gating
Zero-Trust Local-First Microsecond Telemetry
Human-in-the-Loop Approval Interceptors
Model Context Protocol (MCP) Client Compatibility
Immutable Audit Trails & Security Violation Detection
Engineered with modern React/Next.js component architectures, strict TypeScript interfaces, responsive layouts, and optimized Core Web Vitals.
Decoupled RESTful APIs, real-time WebSocket state synchronization, centralized error logging, and resilient microservices.
Normalized relational database schemas (PostgreSQL/MySQL), Redis caching, RBAC permissions, and secure JWT authentication.
Turnkey delivery, sub-200ms latency, high availability, and maintainable documentation for seamless long-term scaling.
Full Stack
Architected a multi-tenant issue and bug management platform with eight role-based dashboards, JWT auth with rotating refresh tokens, real-time WebSocket notifications, and a partner API for external integrations.
AI
Built an integrated AI marketing platform combining a dynamic context chat agent (`aiagent`) with a full-featured Marketing Operating System SaaS (`marketingtool`) featuring multi-LLM routing, generative UI, Cloudinary asset pipelines, landing page builders, and automated lead capture.
Full Stack
Architected and developed a full-stack e-commerce system from scratch for a Swedish client, featuring a Next.js storefront backed by a custom Java Spring Boot REST API & MySQL CMS, cutting content management overhead by 40%.