
SecureOps AI is an AI-powered DevSecOps copilot that scans source code for security vulnerabilities, generates one-click production-ready fixes, and scans Docker containers for known CVEs. PROBLEM: Developers ship code with security vulnerabilities because existing tools are slow, produce false positives, or don't integrate into their workflow. Manual security reviews are expensive and don't scale. HOW IT WORKS: 1. CODE SCANNING — Paste code into the editor. A regex pre-filter catches known patterns instantly, then the AI model performs deep semantic analysis to find logic-level vulnerabilities that pattern matchers miss. 2. VULNERABILITY REPORT — Each finding includes severity level (Critical/High/Medium/Low), confidence score, category, affected line numbers, and detailed remediation guidance. 3. FIX GENERATION — Click "Generate Fix" on any vulnerability. The AI produces corrected code with explanations and a unified diff showing exactly what changed. 4. CHAT COPILOT — Ask follow-up questions like "How do I prevent SSRF in Node.js?" and get practical, contextual security advice with code examples. 5. CONTAINER SCANNING — Scan Docker images, filesystems, or Dockerfiles for known CVEs using Trivy, completing the full DevSecOps pipeline.
13 Jul 2026

A multi-agent system where 4 specialized AI agents collaborate autonomously through Band (Thenvoi's coordination layer) to orchestrate the entire employee onboarding workflow. When a new hire is submitted, a dedicated Band room is created and 4 agents work in sequence: 1. Planner Agent (LangGraph) — Parses employee info, generates a structured 8-10 task onboarding plan 2. HR Policy Agent (CrewAI) — Validates the plan against company policies, computes a compliance score, flags missing items 3. IT Provisioning Agent (LangGraph) — Creates a role-aware IT setup checklist: accounts, equipment, software licenses, access permissions 4. Manager Review Agent (PydanticAI) — Synthesizes all outputs into a structured OnboardingReport, posts to Band room, and waits for human-in-the-loop approval Every agent communicates exclusively through Band — handoffs, status updates, and decisions are all Band room messages creating a full audit trail. The React dashboard streams live progress via WebSocket. Built with dual-mode operation: DEMO_MODE for zero-cost presentations, LIVE_MODE for production LLMs (Featherless AI + AIML API). Supports open-source models (Llama 3.1 8B/70B). Each agent gracefully degrades with intelligent fallbacks.
19 Jun 2026