Febin Wilson@febinwilson

BoundaryForge AI is a pre-deployment AI risk evaluation system for regulated financial use cases. It helps teams assess whether an AI model is safe enough to move toward deployment by testing security resilience, governance behavior, and trustworthiness under realistic regulatory pressure. The system uses document-grounded adversarial prompts generated with Gemma 4 via Fireworks AI. The attack corpus is grounded in financial-sector regulatory themes from RBI Cyber Security, RBI KYC, FCA AI Update, PRA SS1/23, and the EU AI Act. BoundaryForge then executes these prompts against selected target models, including OpenAI and Anthropic Claude models, and scores the responses using independent Claude/GPT judges. BoundaryForge evaluates prompt injection, refusal bypass, role escalation, governance-bypass enablement, source-fidelity gaps, and hallucination risk. It separates attacker, target, and judge roles to reduce self-evaluation bias and create a more realistic audit workflow. The project also includes AMD ROCm validation proof for the model-generation workflow and uses a frozen attack corpus for repeatable evaluation. After each run, BoundaryForge produces surfaced findings, execution-state counts, risk metrics, a one-page AI risk certificate, SHA256 fingerprinting, and downloadable full audit JSON evidence. BoundaryForge does not claim legal compliance certification. It provides AI risk awareness, adversarial evaluation evidence, and deployment decision support for high-stakes financial AI systems.

Quasar Enterprise AI Delivery Swarm is a Band.ai-powered multi-agent governance platform for regulated and high-stakes financial intelligence workflows. The system ingests live MCX and Forex market data, performs multi-timeframe analysis, generates Smart Money Concepts (SMC) market structure intelligence, and routes findings through specialist AI reviewers for market intelligence, system readiness, risk governance, delivery planning, and final assessment. Every decision is linked to governance evidence, confidence attribution, validation criteria, and audit trails. Deployed on AWS with persistent storage and workflow continuity, Quasar demonstrates how coordinated AI agents can transform live intelligence into explainable, auditable, advisory-only enterprise decisions while maintaining strong governance and safety boundaries.

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📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.