AegisAIView on GitHub (opens in a new tab)
Open-source research initiative

AegisAIAdaptive Intelligence for Secure Distributed Systems

Observe. Assess. Authorize. Respond.

An open-source research initiative exploring explainable, risk-aware and adaptive authorization for secure and resilient cloud-native distributed systems.

Explore Research View on GitHub ↗ (opens in a new tab)
Authorization / evolvingA → D
From deterministic policies to adaptive authorizationSolid cyan layers represent implemented Models A, B and C. A dashed amber outer layer represents planned Model D.POLICYD / PLANNEDCBA
The research direction

From explicit rules.
Toward bounded adaptation.

Conceptual progression · Model D planned
Research theme

AI-Driven Automation for Resilient & Secure Cloud/Distributed Systems

01 / Research progression

A baseline for every next step.

Three implemented authorization models establish the foundation for a planned behavioral research model.

Explore the models
Model A

RBAC

Role-based access control establishes the deterministic authorization baseline.

Implemented
Model B

RBAC + ABAC

Attribute-based conditions extend role-based authorization with request context.

Implemented
Model C

Contextual Risk

Deterministic contextual risk adds explicit risk rules to role-based authorization.

Implemented
Model D

Behavioral Adaptive Authorization

Proposed behavioral evidence and operational state inform explainable adaptation within policy boundaries.

Planned Research
02 / System perspective

Evidence in. Explainable decisions out.

Investigating how identity, context, behavior and system state can inform authorization within explicit policy boundaries.

01 / Research architectureConceptual flow
Implemented baseline capabilitiesPlanned research
IdentityRoles & attributes
ContextRequest evidence
BehaviorPlanned research
Operational StatePlanned research
Risk IntelligenceDeterministic contextual risk
Policy EngineDeterministic policy
Adaptive DecisionAdaptive extension · planned
Behavioral intelligence + policy-bounded AI Planned research
ALLOWSTEP-UPLIMITDENY
Conceptual research architecture, not a deployment schematic. Solid nodes represent capabilities of Models A–C; dashed nodes describe planned extensions. The output vocabulary does not assert that every model implements every action.
03 / The central question

What changes when authorization can adapt?

How does explainable, policy-bounded, closed-loop adaptive authorization perform relative to RBAC, ABAC and deterministic risk-aware authorization under behavioral and operational anomalies in cloud-native distributed systems?

Toward reproducible experiments
Work in the open

Follow the research as it develops.

Research plans, architecture and work in preparation. Evidence will lead the conclusions.

About & Roadmap