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AegiSense

Secure Identity. Smarter Access.

AI-powered Identity and Access Management platform with advanced security, authentication, and AI-driven threat detection.

  • Identity & Access Management
  • AI Security
  • Open Source
  • Enterprise
Live DemoView on GitHub

Overview

AegiSense is a modern identity and access management (IAM) platform designed for today's distributed, cloud-native applications. It provides secure authentication, authorization, and identity governance with built-in AI-powered security features.

Built as a modular monolith using Spring Boot 4 and Angular, AegiSense supports multiple authentication methods, enterprise integrations, and advanced security capabilities such as risk detection, anomaly analysis, and AI-powered access insights.

The project is available as an open-source Community Edition, with an Enterprise Edition offering advanced features and support.

  • Secure Authentication

    Password, MFA, Passkeys, OAuth2, SAML, LDAP

  • AI-Powered Security

    Anomaly detection, risk scoring, threat insights

  • Enterprise Ready

    Multi-tenant, SCIM, identity federation

  • Open Source

    Community Edition on GitHub

Key Features

  • Multiple authentication methods (Password, MFA, WebAuthn, OAuth2, SAML)
  • Role-based and attribute-based access control
  • Identity federation (OIDC, SAML, LDAP/AD)
  • User lifecycle management (SCIM)
  • AI-powered threat detection and risk scoring
  • Access request and approval workflows
  • Audit logging and compliance reporting
  • Multi-tenant architecture
  • Modern and responsive Angular UI
  • REST APIs and comprehensive documentation

Architecture Overview

  1. Client (Web/Mobile)
  2. Angular
  3. PostgreSQL
    Redis
    Spring Boot Backend
    FastAPI

  4. External Systems

    • SAML / OAuth2
    • LDAP / Active Directory
    • SCIM
    • Other Applications

Screenshots

  • Admin Dashboard
  • Access Requests
  • Security Insights
  • AI Assistant

Development Approach

  • Modular Monolith

    Clear module boundaries that can be split into services later without a rewrite.

  • Security First

    Threat modelling per feature, dependency scanning and signed releases in CI.

  • Test Coverage

    Unit, integration (Testcontainers) and end-to-end tests on every pull request.

Challenges

  • Protocol Sprawl

    Supporting OIDC, SAML, LDAP and SCIM without the codebase turning into special cases.

  • Low-Latency Risk Scoring

    Scoring every login with AI without adding noticeable delay to authentication.

  • Tenant Isolation

    Guaranteeing one tenant's data and configuration can never leak into another's.

Results & Impact

Faster user onboarding
50%
Reduction in security incidents
70%
Audit compliance readiness
100%
Organizations using it
5+
“AegiSense gives us enterprise-grade identity management with the flexibility and innovation we needed. The AI-powered insights are a game changer.”
Rahul VermaEngineering Manager

What's Next

  1. 1Passwordless-first onboarding flows
  2. 2Policy-as-code for access rules
  3. 3Marketplace of pre-built enterprise connectors

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