Syed Royem Faheem@rymfhm475

TRiaD (Threat Intelligence & Automated Defense) is an AI-powered cybersecurity incident response platform developed during the Band of Agents Hackathon 2026. The system leverages a collaborative multi-agent architecture to automate the traditionally time-consuming processes of threat analysis, incident triage, intelligence correlation, and compliance reporting. The platform consists of specialized AI agents working together in a coordinated workflow. Incoming security alerts are processed by an ingestion layer, enriched with contextual threat intelligence, and analyzed through semantic similarity searches using a vector database. The analyst agent investigates indicators of compromise, correlates findings with historical incidents and MITRE ATT&CK techniques, and generates actionable insights. A manager agent then compiles compliance-ready incident reports suitable for security operations centers and organizational stakeholders. TRiaD provides a modern web dashboard with real-time updates, interactive alert monitoring, and automated reporting capabilities. By combining FastAPI, Next.js, ChromaDB, Gemini-powered reasoning, and WebSocket-based communication, the platform demonstrates how autonomous AI agents can significantly accelerate cyber defense operations while maintaining transparency, traceability, and auditability. The project showcases practical applications of agentic AI in cybersecurity, threat intelligence automation, incident response orchestration, and security analytics.

AutoPilot is a full-stack platform designed to monitor, manage, and audit autonomous treasury rebalancing agents. The dashboard interface allows users to oversee critical system metrics such as active agents, queue depth, execution success rates, and error rates. By presenting each metric in an intuitive, analytics-driven UI, AutoPilot improves operational awareness and decision-making for teams managing automated treasury workflows. The platform includes dedicated sections for tasks, executions, approvals, audit logs, agent health checks, and system settings. Each module is structured to streamline oversight of automated processes while providing transparency, accountability, and performance insights. The system also includes real-time status indicators, activity trends, and agent-level health reports to ensure reliability at scale. The goal of AutoPilot is to provide a unified operational interface for teams working with autonomous financial or treasury automation agents, reducing human error while enhancing control, efficiency, and visibility across the entire automation pipeline.

It facilitates automated network discovery, real-time performance monitoring, configuration backup, alerting, and a modular plugin architecture for custom functionality. The system supports RESTful APIs for external integrations, provides service redundancy for high availability, and includes a user-friendly web interface for visualization and administration. Core Features Device Discovery: Automated scanning and identification of network devices via SNMP. Real-time Monitoring: Periodic polling of network metrics with threshold evaluation. Alerts and Notifications: Custom alert rules triggered on metric anomalies. Configuration Management: Scheduled backup and versioning of device configurations. Plugin Support: Isolated and dynamically loaded Python modules for extending functionality. Role-based Access Control (RBAC): JWT-authenticated user access with defined permissions. REST API Gateway: A unified interface enabling communication between frontend, backend, and external systems. Plugin Marketplace (Optional): Web-based repository to install or update community and custom plugins. Redundancy: All services are containerized for scalability and load balancing, ensuring minimal downtime and horizontal scaling capabilities.

AI algorithms that monitor network performance and predict potential outages or hardware failures. Build a transparent procurement optimization tool that uses machine learning to recommend cost-effective solutions for purchasing networking equipment while ensuring quality and sustainability. That would be energy efficient network management system that optimize power consumption for network infrastructure in off-grid schools, using renewable energy sources and smart load balancing. Additionally there would be intelligent bandwidth system management that would intelligently manage the bandwidth. In addition it would help the administrators sort out the problem

AI algorithms that monitor network performance and predict potential outages or hardware failures. Build a transparent procurement optimization tool that uses machine learning to recommend cost-effective solutions for purchasing networking equipment while ensuring quality and sustainability. That would be energy efficient network management system that optimize power consumption for network infrastructure in off-grid schools, using renewable energy sources and smart load balancing. Additionally there would be intelligent bandwidth system management that would intelligently manage the bandwidth. In addition it would help the administrators sort out the problem

🌉 On-site Only Hackathon | 📅 June 27–28, 2026 | 📍 San Francisco, CA This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 150 people, teams must include 3–5 members, and there is no online or hybrid participation. Build real-time AI apps that run directly on Snapdragon-powered mobile devices using ExecuTorch. Selected teams will get Samsung Galaxy S25 Ultra devices on-site for building, testing, and live demos. 📍 On-site Venue (June 27–28): The Web Data Loft by Bright Data 625 2nd St, San Francisco, CA 📱 Samsung Galaxy S25 Ultra devices provided on-site for selected teams 🧠 Learn from Qualcomm and Meta experts through workshops, mentorship, and hands-on support 🏆 Prizes include Meta Quest 3 headsets, Ray-Ban Meta AI Glasses, and post-event project support 🧑‍💻 Apply now to build the future of on-device AI with ExecuTorch and Snapdragon. Once pre-approved, you will receive further instructions on how to complete the acceptance process. Application deadline: June 17, 2026, at 11:59 PM PDT.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000+ total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

📅 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.

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!