AegisID Zero-Trust for Machine Identities

AegisID is a zero-trust machine identity security platform built for the AppliedAI Opus Challenge that addresses critical API key security gaps through intelligent automation. Users upload JSON files containing API key metadata, and the system leverages GPT-3.5/4 models to evaluate each key across multiple risk vectors which includes exposure likelihood, privilege escalation potential, anomalous usage patterns, and missing security controls. The platform generates automated risk scores (0-100), categorizes keys into auto-accept/review/reject decisions, and produces tamper-evident audit trails compliant with SOC 2, ISO 27001, and NIST frameworks. Key enterprise features include interactive risk distribution charts, real-time cost tracking ($0.003 per key), batch processing controls, and judge verification via direct Opus workflow canvas access. Built with Streamlit, providing sophisticated security analytics without infrastructure overhead, making enterprise-grade machine identity governance accessible and immediately actionable.