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Open-source research initiative

AeglysAIAdaptive Intelligence for Secure & Resilient 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.

Intelligent capabilities can be incorporated into system control loops while remaining bounded by deterministic engineering mechanisms, rather than simply added as an external service.

Explore Research View on GitHub ↗ (opens in a new tab)
Authorization / evolvingA → D
Implemented baselines and completed offline Model D researchSolid cyan layers represent implemented Models A, B and C. A double outer boundary represents completed experimental, non-enforcing offline Model D research.POLICYD / OFFLINECBA
The research direction

From explicit rules.
Toward bounded adaptation.

Model D · Research Implementation Complete
Research theme

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

01 / Research progression

A baseline for every next step.

Three implemented authorization baselines and a completed, experimental offline Model D research implementation.

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

The bounded offline research implementation is complete; internal synthetic validation has been performed. Model D remains experimental and non-enforcing.

Research Implementation Complete
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 architectureScope and status map
Implemented baseline · A–C · solid borderResearch implementation complete · D · double borderPlanned extension · dashed border

Implemented baseline · Models A–C

IdentityImplemented baseline · roles and attributes
ContextImplemented baseline · request evidence
Policy EngineImplemented baseline · deterministic policy
Contextual RiskImplemented baseline · deterministic rules
Baseline DecisionImplemented baseline · policy evaluation

Conceptual policy outcome vocabulary below belongs to the baseline path. Not every baseline implements every outcome. Model D cannot issue these actions.

ALLOWSTEP-UPLIMITDENY

Model D · Research implementation complete

Experimental offline scope only. Separate evidence and recommendation path; enforcement_authority=NONE. No access grants, denials or production control.

Behavioral inferenceResearch implementation complete · offline synthetic evidence
Eligibility and drift diagnosticsResearch implementation complete · bounded checks; robustness limitations remain
Experimental integrationResearch implementation complete · non-enforcing recommendations

Internal synthetic validation does not establish independent field effectiveness, mature drift monitoring or production readiness.

Planned extensions · no completed operational claim

Operational telemetryPlanned extension · live evidence pipeline
Adaptive decision integrationPlanned extension · production control, not Model D authority
Continuous feedbackPlanned extension · live closed-loop adaptation

Independent external validation remains unestablished. Offline mock feedback does not complete a live feedback loop.

Three statuses, not a product maturity scale: solid baseline, double-bordered completed experimental research, dashed planned extension. This conceptual scope map is not a deployment schematic or evidence of production enforcement. Models A–C implementation is recorded in the separate Research repository; this Portal does not independently establish effectiveness.
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
Build / Learn / Contribute

Build with the community.

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AEGYTHON 2026

Turn curiosity into working software.

Explore the six challenges, qualification guidance and existing event program.

Explore AEGYTHON 2026
Speaking & Presentations
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Work in the open

Follow the research as it develops.

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

About & Roadmap