Product Management · Digital Identity & Access Management

AccessOS models identity, risk, and regulation as one product.

Self-initiated · 2026 IAM PM brief Illustrative Not a live platform

A platform serving AMCs, distributors, and investors puts a retail investor, a distributor's sub-users, a compliance officer, and a platform engineer through the same front door — each needing a different, provable level of access to the same underlying data. AccessOS models identity, attributes, and regulatory risk as one policy engine instead.

The demo runs it live: pick a persona, change one attribute, attempt an action, and watch the decision — and the plain-English reason for it — change in real time.

Open the AccessOS demo →
Who Six roles, one shared platform Investor, distributor sub-user, distributor admin, compliance officer, platform engineer, SuperAdmin — each needing a different, provable slice of the same data.
What A real RBAC + ABAC decision engine Deny-first → allow → default-deny policy evaluation, running live in the browser against a policy set covering all six personas.
Why Need for Regulatory-Aware Authorization over identify and roles How is access controlled when a distributor's ARN is suspended, or an investor's KYC goes on hold? Modern IAM can support dynamic, attribute-based authorization. The challenge in a regulated financial ecosystem is ensuring that business and regulatory states become reliable inputs to those decisions. A distributor's ARN status, AMC empanelment, or an investor's KYC status can change what they are permitted to do — yet these states are often managed across different systems and processes. Those are attribute-change problems, not a checkbox for whether the platform has RBAC/ABAC.
Impact
  • Zero standing elevated access
  • Incident reduction illustrative
  • Time-to-access illustrative
  • Audit findings closed illustrative
  • % of elevated engineer access converted to JIT illustrative
Business case Faster AMC/distributor onboarding — the direct revenue lever A new persona is a policy addition, not bespoke access code, shortening the review that gates a distributor going live. Argued, not measured — the prototype covers six fixed personas, not a new-persona onboarding flow.

See it work

A full pass through the demo — six personas, an attribute toggle, a denied and an allowed attempt, and the platform engineer's request → approve → auto-expire PAM flow, all streaming into the live audit log.

AccessOS demo walkthrough: choosing a persona, toggling an ABAC attribute, attempting an action, reading the allow/deny decision and reason, and the Platform Engineer's request-approve-auto-expire PAM flow, all logged to the live audit trail
Open the live demo above to click through it yourself — every decision shown here is computed live, not scripted.

What this actually produced

6 personas
One shared policy engine
Investor, Distributor Sub-user, Distributor Admin, Compliance Officer, Platform Engineer, SuperAdmin
15 assertions
Verified two ways before shipping
Tested against 15 scenarios — every allow and deny path — before shipping, with the two rules added afterward verified live in the browser.

Illustrative targets

The design is targeted at these live-platform metrics. They are not measured here.

Illustrative targetIncident reduction
Illustrative targetTime-to-access
Illustrative targetAudit findings closed
Illustrative target% of elevated engineer access converted to JIT

The problem, as most platforms have it

Complex identity & access landscape

Challenge

Build access control for a platform where an investor, a distributor's sub-users, an AMC's ops team, a compliance officer, and a platform engineer all interact with the same underlying data.

Core problem

Different actors, relationships and levels of access need to coexist without exposing more data or capability than necessary.

Static authorization vs. changing regulatory state

Challenge

Role-based permissions alone are too coarse for a regulated ecosystem. Access can depend not only on who the user is, but also on their relationship to the data, business attributes, and changing regulatory state.

The edge case

What happens when a distributor's ARN is suspended, or an investor's KYC moves to an on-hold status?

Core problem

A change in regulatory state needs to translate into a timely and consistent authorization decision.

Six personas, one policy engine

The domain model underneath

The demo is one policy engine, but the model behind it is the full IAM vocabulary a platform like this needs to reason with:

IdentityCredentialRoleAttributePolicy ResourceSessionConsentDelegationAudit Trail

What clicking through actually proves

Mapped to the skills a Digital Identity & Access Management PM role screens for — each one is a live behavior in the demo, not a slide claim.