Aegis · Product initiative

One AI gateway. Clear governance boundaries.

Aegis is an early-stage platform initiative designed to help organizations adopt multiple AI models while controlling access, tenant separation, risk, spend and operations.

Status: In development

What we are building

Designed for demanding AI workflows.

These are product goals and intended capabilities, not claims that a hosted commercial service is already generally available.

Unified AI access

A consistent entry point for applications, tools and agentic workflows across different supported model providers.

Policy enforcement

Centralized governance with authentication, request authorization and sensitive-data handling before model dispatch.

Tenant boundaries

Namespace, RBAC, network policy and secret isolation principles designed into the platform from the start.

Cost visibility

Tenant-aware usage measurement, budget enforcement and model routing decisions informed by cost.

Operational resilience

Planned reliability controls, backup and recovery procedures, monitoring and well-defined fail-closed behavior.

Infrastructure portability

Cloud-native Kubernetes workloads and GitOps configuration patterns to support more than one cloud environment.

AWS development plan

Prototype, validate, then scale.

We plan to use AWS to evaluate core infrastructure capabilities and reduce the operational risk of early enterprise AI deployment.

Amazon EKSAmazon S3AWS IAMAWS KMSAWS Secrets ManagerAmazon CloudWatch

These are candidate services under evaluation; use of any service depends on technical and cost validation.

Development priorities

Secure foundation

Infrastructure-as-code, workload identity, network boundaries and secret management.

Gateway validation

Functional integration, tenant isolation tests and cost-aware AI routing.

Operational readiness

Observability, backup recovery, failure simulations and multi-cloud operations.

Early feedback

Technical conversations with potential design partners and developers.