Lobster Trap-Sentinel

LT-Sentinel is a cross-event statistical-monitoring layer on top of Veea Lobster Trap. It runs three pre-warmed Lobster Trap instances loaded with escalating policies (Trust / Observe / Lockdown) and a tiny reverse proxy that atomically swings traffic between them based on per-agent OER / EWMA / CUSUM TrustScores. On top sits a real LangGraph multi-agent system (Router + HR + Finance + IT workers, each with a Chroma-backed tool that returns proper role:"tool" messages) so every threat scenario flows through realistic agent traffic. Every tier transition writes a regulator-readable JSONL record with trigger agent, full per-agent TrustScore snapshot, evidence request IDs chaining back to LT's own audit log, and which policy file became active. Tier change is a pointer flip — zero downtime, no Lobster Trap source change. MIT-licensed; runs on Ollama or any OpenAI-compatible backend.

A.N.O.A : Anonymous Agentic Intelligence

PolicyForge — AI Agent Security Policy Platform

PolicyForge is an enterprise AI agent security platform that solves a critical gap: security teams cannot write or manage AI agent policies because existing tools require deep YAML expertise. With PolicyForge, any CISO or compliance officer can type a security intent in plain English and have it enforced in seconds. How it works: The user types a natural language policy such as "Block any agent that reads patient SSN or medical records." Gemini 2.0 Flash instantly converts this into a Lobster Trap YAML enforcement rule. The rule is activated and enforced immediately by the Veea Lobster Trap deep prompt inspection proxy — a MIT-licensed tool that sits between AI agents and LLM backends. Key features include a real-time security dashboard showing blocked threats, active policies, and risk scores. An attack simulator lets teams fire 10 real adversarial attacks — prompt injection, PII exfiltration, credential theft, SQL injection, jailbreak attempts — and watch them get blocked live. One-click compliance reports generate HIPAA, SOC2, and finance audit documents directly from the audit trail. PolicyForge directly addresses every Track 1 focus area: guardrails and safety layers, monitoring and observability, access control, audit trails with explainability for regulated industries, and red-teaming frameworks. The tech stack uses Gemini 2.0 Flash for policy generation, Veea Lobster Trap for DPI enforcement, FastAPI for the backend, and Next.js 15 for the frontend — deployed on Railway and Vercel.

Aegis AI

As enterprises and industrial sectors rapidly deploy autonomous AI agents and edge robotics, they expose themselves to novel, critical attack vectors such as advanced prompt injections, data exfiltration, and model denial-of-service (DoS) poisoning. Traditional security perimeters are insufficient for inspecting these dynamic, semantic payloads. Aegis AI bridges this critical security gap as an enterprise-grade SecOps firewall and autonomous edge proxy. Engineered in Go and Python, Aegis AI delivers sub-millisecond local enforcement, ensuring high-speed security without compromising operational latency. The platform's architecture is built on four core pillars: Edge-Native Proxy: Leveraging Veea's Lobster Trap, I deployed a high-performance local proxy that intercepts and sanitizes traffic directly at the edge, a crucial requirement for real-time robotics and localized AI agents. Autonomous Fuzzing Engine: Powered by Gemini, Aegis features a self-healing, continuous testing pipeline. It autonomously red-teams AI agents, proactively identifying vulnerabilities and dynamically generating defensive rules before zero-day exploits can be weaponized. Real-time Semantic Filtering: The system deeply inspects inbound and outbound payloads to neutralize complex prompt injection attacks and prevent unauthorized data exfiltration. Human-in-the-Loop Governance: A dedicated CISO staging queue quarantines highly anomalous or critical security events for manual oversight, ensuring strict enterprise governance and compliance. By combining proactive autonomous defense with robust edge-level proxying, Aegis AI provides the foundational security layer necessary for the safe, scaled adoption of AI agents in mission-critical environments.

Boardroom Agents

Boardroom is an AI due diligence copilot that turns a pitch deck into a board-ready briefing in under two minutes. Upload a PDF, an image of a whiteboard, or paste a URL, and six specialized agents spin up to interrogate the inputs in parallel: an Orchestrator parses the materials and dispatches tasks; a Researcher pulls in market context; an Analyst builds the bull case; a Red Team builds the bear case; a Synthesizer fuses them into a confident executive brief with a verdict and a confidence score; and a Verifier audits every claim before it reaches the user. The differentiator is verification. Hallucinations in the M&A domain are not abstract — they cost real money. So every claim in the final brief is extracted and tagged with a role. Analyst claims are grounded against the source deck. Red Team rebuttals are graded against world knowledge, because a sharp critique is supposed to contradict the pitch. External context, like a named regulation or a macroeconomic condition, gets its own knowledge check. The result is an Integrity Score that rises when the Red Team is right rather than falling. On the same CocoaGuard pitch deck, our verifier evolved from flagging correct disease-feasibility analyses as seven-percent-confidence hallucinations to verifying them at ninety-eight percent — purely by understanding which voice was speaking. Under the hood: a Next.js frontend on Vercel, a FastAPI backend running in Docker on Vultr Cloud Compute, and six-agent orchestration through Gemini 3 Pro and Gemini 3 Flash with structured output and live streaming over Server-Sent Events. Caddy fronts the backend; Postgres persists sessions and audit trails. Built for the Vultr and Gemini tracks of the AI Agent Olympics.

Al-Ethos: AI-Powered Shariah-Compliant Fintech

Problem: Islamic financial institutions face a significant bottleneck due to slow, manual, and retrospective Shariah auditing processes. This "compliance gap" creates financial and reputational risks for modern digital banks. Solution: Al-Ethos is an AI-driven fintech ecosystem that provides "Shariah-at-the-Edge"—real-time prevention rather than retrospective reporting. It uses blockchain monitoring and specialized AI to automate the audit trail. Target Audience: Digital Islamic Banks, Ethical Investment Funds, and Neobanks seeking global scalability with 100% automated compliance confidence. Unique Features: The platform features the Veea AI Advisor for complex contract structuring and a Compliance Monitor that provides immutable blockchain proof of Shariah alignment, turning compliance into a competitive transparency advantage.