Embedded finance and third-party access: the identity governance gap

At a glance

What this is: This is an analysis of how embedded finance growth exposes a third-party access and governance gap that legacy IAM models struggle to handle at scale.

Why it matters: It matters because practitioners have to extend identity controls across partners, vendors, and delegated users without creating onboarding friction, standing access, or audit gaps.

By the numbers:

• Embedded finance accounted for nearly $2.6 trillion of total financial transactions in the U.S. in 2021.
• By 2026, that figure is expected to nearly triple, exceeding $7 trillion and making up more than 10% of all U.S. financial transactions.
• Globally, the embedded finance market is forecast to reach $348.8 billion by 2029, growing at a 30% compound annual growth rate.
• In Europe, embedded finance revenues could surpass €100 billion by the end of the decade.

👉 Read Ping Identity's article on digital identity for embedded finance

Context

Embedded finance is the distribution of financial products through non-financial digital journeys such as retail checkout, HR platforms, and rideshare apps. The identity problem is not the user interface; it is the third-party access layer that allows banks, platforms, processors, and service providers to interact securely across organisational boundaries.

Legacy IAM models were built for clearly owned applications and relatively stable trust relationships. Embedded finance creates a much denser delegation problem, where onboarding, authentication, authorisation, recertification, and offboarding must work across B2B, B2B2C, and B2B2X relationships without turning every partner connection into a manual exception.

Key questions

Q: How should teams govern third-party access in embedded finance platforms?

A: Treat each third party as a governed identity relationship, not just a technical integration. Define business ownership, scope, approval, review, and revocation for every partner connection. Where access is recurring, use federation and policy-driven lifecycle controls. Where access is sporadic or high-risk, require stronger approvals and tighter expiry conditions so permissions do not outlive the underlying business need.

Q: Why do embedded finance programs expose IAM weaknesses so quickly?

A: Because they multiply trust relationships across organisations that do not share the same control model. A single product journey can involve banks, platforms, processors, and service providers, each with different authentication, authorisation, and offboarding practices. That fragmentation makes manual governance slow, inconsistent, and hard to audit, which is exactly why small access gaps become operational and compliance problems.

Q: What breaks when third-party access is onboarded manually?

A: Manual onboarding usually creates inconsistent entitlements, duplicate accounts, and unclear ownership of access decisions. It also makes revocation slower than provisioning, which is the point where risk often accumulates. In embedded finance, that means partner access can persist after the business relationship changes, leaving the organisation with permissions it can no longer justify cleanly.

Q: What frameworks help align embedded finance access with governance requirements?

A: A strong approach combines NIST Cybersecurity Framework 2.0 for governance and risk management with identity lifecycle controls that support certification, revocation, and evidence collection. The practical test is whether you can prove who has access, why they have it, and how quickly that access can be removed when the relationship changes.

Technical breakdown

Third-party identity delegation in embedded finance

Embedded finance depends on delegated access between institutions, platforms, and service providers. That usually means federated authentication, scoped API access, and lifecycle controls for third-party users or service accounts. The technical challenge is not simply proving identity once. It is maintaining trustworthy authorisation across a chain of organisations that may each have different controls, policy boundaries, and assurance levels. When one party onboards a partner but never revisits access scope, the relationship becomes operationally sticky even when the business need changes. In practice, the most fragile point is the handoff between trust establishment and ongoing governance.

Practical implication: Practitioners need partner-specific identity lifecycles, not one-time access grants.

Why fragmented access controls fail at scale

Fragmented access controls create inconsistent enforcement across portals, APIs, and administrative consoles. In embedded finance, that inconsistency shows up as duplicate accounts, overlapping entitlements, and access reviews that do not map cleanly to the actual third-party relationship. Manual approval chains also slow down partner activation, which pushes teams toward exceptions and shared credentials. Once exceptions become normal, auditability weakens and revocation becomes harder to prove. The architectural failure is not just policy sprawl. It is the absence of a unified trust fabric that can express who a third party is, what they may do, and when that permission should end.

Practical implication: Unify partner access policy across applications so approval and revocation are consistent.

Governance controls for scale, not one-off integrations

At scale, embedded finance needs governance mechanisms that can enforce least privilege, time-bound access, and periodic certification across many counterparties. That includes strong identity proofing where needed, federation where appropriate, and logging that links every third-party action back to a named business relationship. The objective is not to eliminate delegation. It is to make delegation measurable and reversible. Without that, security and compliance teams end up validating transactions after the fact instead of constraining access before damage occurs. The real architecture question is whether the identity layer can keep pace with product growth.

Practical implication: Build access controls that can certify and revoke third-party permissions continuously.

Threat narrative

Attacker objective: The attacker aims to turn trusted partner access into unauthorized financial and data movement across embedded workflows.

1. Entry occurs when a third-party partner, embedded service provider, or delegated application receives access through a business integration that is not governed as a first-class identity relationship.
2. Escalation happens when that access is over-broadened, reused across systems, or left in place after the original onboarding need changes.
3. Impact follows when credential misuse, indirect dependency abuse, or weak offboarding allows unauthorized financial actions, compliance exposure, or downstream account compromise.

Breaches seen in the wild

• LiteLLM PyPI package breach — LiteLLM PyPI supply chain attack, credentials stolen from users.
• Shai Hulud npm malware campaign — Shai Hulud campaign: npm malware exposed secrets on GitHub.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Embedded finance is not mainly a product integration problem, it is a third-party identity governance problem. The article correctly frames growth as dependent on secure access, but the real constraint is whether organisations can model partners as governed identities rather than ad hoc integrations. Once a business relationship requires repeated access across systems, IAM, IGA, and PAM controls all become part of the delivery path. The practitioner conclusion is that embedded finance scales only when partner identity is treated as core infrastructure.

Third-party access without lifecycle governance creates trust debt. Manual onboarding and fragmented approvals may get a partner live quickly, but they defer the real control work into revocation, recertification, and evidence production. That deferred work accumulates as trust debt because the organisation cannot reliably prove why access still exists. The implication is that every ungoverned partner connection increases operational drag and audit exposure even when no breach occurs.

Verified trust must be relationship-aware, not just identity-aware. A certificate, token, or federated login tells you who authenticated, but not whether the underlying business relationship still justifies the access scope. That gap matters in B2B2C and B2B2X models where multiple parties contribute to a single transaction path. Practitioners should read this as a warning that access policy has to track the commercial relationship, not merely the technical login.

Legacy IAM fails here because it was built for stable enterprise boundaries. Embedded finance is defined by delegated access across organisational lines, conditional entitlements, and frequent partner change. Static role models and manual exception handling break under that pressure because they cannot keep pace with onboarding speed and offboarding requirements. The field needs identity fabrics that make trust portable, auditable, and reversible across every third-party interaction.

Identity governance is becoming a revenue control as much as a security control. When access friction is too high, business teams route around governance. When it is too loose, compliance and fraud risk grow. The strategic insight is that the winning operating model is not the loosest one or the strictest one, but the one that can scale third-party trust without losing provability. Practitioners should align identity design with growth, audit, and risk objectives together.

From our research:

• Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks, according to The 2024 ESG Report: Managing Non-Human Identities.
• The average organisation believes more than 1 in 5 of their non-human identities are insufficiently secured, which shows how governance gaps accumulate before a breach is visible.
• For a deeper control lens, Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs maps the lifecycle controls that help contain delegated access.

What this signals

Embedded finance creates a governance density problem: every partner connection adds another identity boundary, another approval path, and another offboarding requirement. If those boundaries are not modelled explicitly, the organisation ends up with access that is technically functional but operationally ungoverned. Practitioners should expect partner lifecycle management to become a core part of product delivery, not a back-office control layer.

The scale of the problem is already large enough to change programme priorities. More than 1 in 5 non-human identities are judged insufficiently secured in the NHI Mgmt Group research on managing non-human identities, which is a useful warning sign for any environment with heavy partner delegation. Embedded finance teams should treat third-party access inventory as a standing control, not a periodic clean-up task.

Trust debt will become visible through audit friction first: when teams cannot quickly explain who approved a partner, what scope they received, and when it ends, the governance model is already behind the business model. That is why identity fabrics matter as operating infrastructure. They do not just enable access, they make trust measurable across the commercial relationship.

For practitioners

• Map third-party identities by business relationship Create an inventory of every external party that can initiate, approve, or influence embedded finance workflows. Record the business owner, access scope, authentication method, and offboarding trigger for each relationship so governance is tied to the actual counterparty.
• Replace manual partner onboarding with policy-driven lifecycle steps Automate approval, entitlement assignment, recertification, and revocation for partners that support embedded financial journeys. Use the same workflow logic across applications so exceptions do not become the default operating model.
• Tie access scope to transaction purpose Limit third-party permissions to the minimum set needed for the specific embedded use case and expire them when the use case changes. This reduces standing access that often survives after the original integration objective has passed.
• Build audit evidence into the access path Log who granted partner access, why it was granted, what changed, and when it was removed. That evidence should be available at the relationship level, not only at the application log level, so compliance teams can reconstruct the full trust chain.
• Use federation where trust is stable and tighter controls where it is not Standardise on federation for recurring, well-bounded partner relationships, but add stronger approval and review controls where access patterns are irregular or high-risk. That keeps the operating model flexible without sacrificing accountability.

Key takeaways

• Embedded finance scales fastest where third-party identity governance is treated as core infrastructure, not a post-launch control.
• The operational risk comes from delegated access that outlives the business relationship, creating trust debt and audit friction.
• Practitioners need lifecycle-based partner controls that can prove scope, ownership, and revocation across every embedded workflow.

Key terms

• Third-Party Identity: An identity owned outside the primary organisation that is granted access to internal systems or workflows. In embedded finance, this includes partners, vendors, processors, and delegated service accounts that must be governed with the same clarity as internal identities, even though ownership and accountability are shared across organisations.
• Identity Fabric: A connected identity control layer that can issue, verify, authorise, and revoke access across multiple applications and organisations. In practice, it reduces fragmentation by making trust decisions consistent, auditable, and easier to automate across partner relationships and embedded workflows.
• Trust Debt: The accumulation of access, approvals, and exceptions that were created to move quickly but were never fully revalidated or removed. In embedded finance, trust debt appears when partner access remains in place after the business need changes, increasing audit burden and exposure without an obvious operational trigger.
• Federated Access: A model where one organisation relies on another trusted identity provider to authenticate a user or system. It is useful for recurring third-party relationships, but it still needs policy, scope, and lifecycle controls so the federated link does not become a permanent entitlement.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Ping Identity: digital identity for embedded finance and secure third-party access. Read the original.