🤓 Latest Submissions
OpenMind Nexus: Cognitive Risk Intelligence
OpenMind Nexus is a multi-agent cognitive risk investigation platform that helps organizations identify, analyze, and respond to information integrity incidents. Modern organizations face increasing risks from disinformation, manipulated narratives, synthetic media, and persuasive content designed to influence decision-making. Investigating these threats is often manual, fragmented, and difficult to scale. OpenMind Nexus transforms this process into a collaborative workflow powered by Band. When suspicious content is submitted, specialized AI agents collaborate through a shared investigation room: • Content Intake Agent – Structures content and creates investigation artifacts. • Cognitive Bias Agent – Detects manipulation patterns, cognitive biases, and persuasion techniques. • Verification Agent – Evaluates credibility, unsupported claims, and evidence quality. • Echo Chamber Agent – Measures amplification and polarization risks. • Explainability Agent – Combines findings into a transparent reasoning trace and recommendation. Instead of relying on a single AI response, agents contribute independent evidence into a shared context. Recommendations emerge from multiple evidence streams. The platform supports three outcomes: • ARCHIVE – Low-risk content. • MONITOR – Ambiguous content requiring observation. • ESCALATE – High-risk incidents requiring Trust & Safety, Compliance, or Security review. Band serves as the collaboration layer, enabling agents to exchange structured context, maintain investigation state, and participate in auditable workflows. By separating reasoning from transport, OpenMind Nexus creates a scalable architecture for enterprise investigations. By combining bias detection, credibility analysis, polarization assessment, explainability, and human oversight, OpenMind Nexus demonstrates how organizations can move beyond single-agent AI systems and adopt transparent, collaborative AI investigations.
19 Jun 2026
CodeSage — AI DevSecOps Intelligence
CodeSage is an enterprise-grade AI-powered DevSecOps and deployment intelligence platform built for the Web Data UNLOCKED hackathon. Traditional static analyzers detect vulnerabilities in isolation using stale databases and limited contextual awareness. CodeSage goes significantly further by combining AI-powered code reasoning with realtime web threat intelligence to determine whether software is truly safe for production deployment. The platform acts as an autonomous CI/CD security gatekeeper. Users can upload ZIP repositories or connect GitHub projects directly. CodeSage recursively analyzes multi-file, multi-language codebases using a specialized multi-agent architecture powered by OpenRouter models including Llama 3.1, Mistral, and DeepSeek. The platform detects: * OWASP vulnerabilities * runtime risks * insecure dependencies * hardcoded secrets * SQL injection vulnerabilities * weak cryptography * insecure upload flows * architectural security risks * deployment blockers What makes CodeSage unique is its integration with Bright Data’s realtime web intelligence infrastructure. When vulnerabilities are detected, CodeSage uses: * Bright Data SERP API * Web Unlocker * Scraping Browser to investigate live exploit activity across CVE databases, GitHub advisories, security discussions, and protected vulnerability sources across the public web. This enables the system to determine: * whether a vulnerability is actively exploited, * whether dependencies are associated with live CVEs, * and whether production deployment should be blocked immediately. CodeSage then: * generates AI-powered remediation patches, * updates realtime security scores, * streams live scan progress using Supabase Realtime, * and delivers a final deployment verdict: * PASS * WARN * BLOCK By combining autonomous AI reasoning with realtime web intelligence, CodeSage transforms security from a reactive bottleneck into a live deployment intelligence system for modern software teams.
31 May 2026
