AegisMesh: Multi-Agent Security Remediation

AegisMesh is a Band-powered multi-agent security platform that transforms vulnerability remediation from a manual process into an autonomous, explainable workflow. Traditional security scanners identify vulnerabilities but leave developers responsible for designing fixes, validating those fixes, and determining whether the application is actually secure. AegisMesh addresses this challenge using three specialized AI agents coordinated through Band. The Blue Coder Agent generates remediation patches for vulnerable code. The Red Auditor Agent performs adversarial security analysis using Graph-of-Thought reasoning to challenge those patches and search for exploit paths. The Security Intelligence Agent evaluates the overall security posture and produces a final risk assessment and recommendation. Band serves as the coordination layer between agents, enabling role specialization, task handoffs, shared context, task state management, transcript generation, and workflow orchestration. Vulnerabilities move through a structured lifecycle including triage, patch generation, adversarial validation, and security intelligence reporting. AegisMesh emphasizes explainability and auditability. Users can inspect attack paths evaluated by the auditor, review reasoning behind findings, and explore complete agent transcripts that show how remediation decisions were reached. The platform also includes an AI/ML intelligence dashboard that provides visibility into model usage, token consumption, request volume, and inference costs during execution. The system combines frontier AI models selected for their strengths: Qwen3-Coder for patch generation, DeepSeek for adversarial auditing, and GPT-4o for security intelligence. By combining specialized AI agents coordinated through Band, AegisMesh moves beyond vulnerability detection to deliver autonomous remediation, adversarial validation, explainable reasoning, and actionable security intelligence in a single workflow.