Project Aegis is an enterprise-grade AI governance platform specifically designed for Kubernetes. As organizations increasingly deploy machine learning and AI initiatives, tracking and securing these workloads becomes critical. Project Aegis addresses this by automatically discovering Shadow AI workloads using k8s-aibom, ensuring that unsanctioned or untracked AI operations do not slip through the cracks of enterprise compliance.

Built for modern developer and security workflows, the platform enforces OPA/Rego policies in real time and generates tamper-proof HMAC audit trails to satisfy rigorous regulatory and safety demands. Key features include real-time WebSocket policy synchronization, human-in-the-loop approvals, native Slack alerts, and a comprehensive React dashboard integrated with Grafana metrics. Teams can easily deploy Project Aegis in just 5 minutes using Helm or Docker Compose.

Pros of Project Aegis

Automatically discovers Shadow AI workloads using k8s-aibom
Real-time enforcement of OPA/Rego policies
Generates tamper-proof HMAC audit trails
Fast 5-minute deployment via Helm or Docker Compose

Cons of Project Aegis

Requires familiarity with Kubernetes and cloud-native infrastructure
Limited to Kubernetes-native environments
Dependent on OPA/Rego for custom policy structures

Frequently Asked Questions

What is Project Aegis?

Project Aegis is an enterprise-grade AI governance platform built natively for Kubernetes. It helps organizations discover Shadow AI workloads, enforce real-time OPA/Rego policies, and maintain tamper-proof HMAC audit trails.

How do you deploy Project Aegis?

You can deploy Project Aegis in about 5 minutes using either Helm or Docker Compose.

What key features are included in Project Aegis?

Key features include Shadow AI workload discovery with k8s-aibom, real-time WebSocket policy synchronization, human-in-the-loop approval workflows, Slack alerts, and a React dashboard paired with Grafana metrics.