Token sprawl is creating silent lateral movement paths in cloud

At a glance

What this is: Token sprawl is the accumulation of API keys, OAuth tokens, and service credentials across modern environments, and the key finding is that valid tokens can create silent lateral movement paths that evade login-based detection.

Why it matters: IAM, PAM, and NHI teams need to govern tokens as identities with ownership and lifecycle controls, because token-based access can bypass human-centric monitoring while still enabling broad cloud movement.

Context

Token sprawl is the uncontrolled growth of machine credentials across cloud, SaaS, CI/CD, container, and AI environments. The security problem is not simply that more secrets exist, but that each token can become a valid access path with unclear ownership, broad scope, and weak lifecycle enforcement.

For identity programmes, this is an NHI governance problem as much as an access problem. Traditional controls that look for interactive logins miss machine-to-machine activity, so organisations can end up with trusted credentials that remain live long after the workload, integration, or owner changes.

Key questions

Q: When does token sprawl become a governance problem?

A: When the organisation can no longer answer who owns each token, what it can reach, when it expires, and how it is revoked. At that point token sprawl is no longer a tooling issue. It is a governance failure that expands the attacker’s blast radius across SaaS and AI workflows.

Q: Why do valid API keys and OAuth tokens still create lateral movement risk?

A: Valid tokens can carry broad service permissions and machine-to-machine trust, so an attacker does not need to crack a password to move. If a compromised workload can request fresh tokens or reuse existing ones, the access path continues across cloud and SaaS resources. The risk comes from scope and persistence, not from whether the credential was syntactically valid.

Q: How do security teams detect token abuse when login logs look normal?

A: They need behavioural controls that focus on API activity, data volumes, source infrastructure, and access patterns. Normal authentication logs will not show the compromise if the token was valid when issued. The useful signals are unusual endpoint access, unexpected SaaS-to-SaaS traffic, and requests that do not match the token’s usual purpose.

Q: Should organisations prioritise token rotation or app inventory first?

A: Start with app inventory, because you cannot govern what you cannot see. Once the full integration map exists, rotation and scope reduction become far more effective. In practice, inventory exposes ownership gaps, stale apps, and the largest blast-radius paths before you spend effort on renewal.

Technical breakdown

Why token sprawl creates hidden access paths

Token sprawl appears when access credentials are created faster than they are inventoried, governed, and retired. In cloud and SaaS environments, that usually means API keys, OAuth tokens, service account credentials, and short-lived tokens that are refreshed automatically by workloads. The technical issue is not just volume. It is the way each token can authenticate a system, inherit privilege, and persist across multiple services without a human login event. That makes the access path look legitimate even when the underlying ownership has drifted.

Practical implication: Map every token to an owner, a purpose, and an expiry rule before the credential becomes operational debt.

Why token-based movement bypasses traditional detection

Token-based lateral movement differs from password theft because it rarely produces the signals defenders are tuned to watch. There is no failed login storm, no MFA prompt, and often no interactive session to terminate. Instead, the attacker uses a valid token request path that looks like ordinary machine activity. When a compromised workload can request fresh tokens on demand, short-lived credentials do not eliminate persistence. They simply change the persistence mechanism from reuse of one secret to repeated issuance of new ones.

Practical implication: Shift detection from login events to token issuance, refresh frequency, and unusual workload-to-workload access patterns.

Why ownership and scope matter more than token format

A token is not secure because it is short-lived or technically modern. Its risk depends on who owns it, what it can reach, and whether its permissions are constrained to the workload that actually needs them. Broad service permissions, shared credentials, and reused tokens create a hidden chain of trust across environments. Once that chain exists, an attacker who compromises one workload can often pivot into additional resources without ever touching a human account.

Practical implication: Enforce least privilege for machine identities and remove shared or ambiguous token ownership from service design.

Threat narrative

Attacker objective: The attacker’s objective is to reuse legitimate tokens to move laterally, expand access, and maintain persistent cloud footholds without triggering login-based alerts.

1. Entry occurs when an attacker compromises a workload, script, or container that already holds valid token-based access.
2. Credential access follows when the attacker extracts service credentials or requests fresh tokens from the compromised workload.
3. Escalation and lateral movement happen as those tokens are reused across cloud, SaaS, or CI/CD resources with broader permissions.
4. Impact is quiet, persistent access that looks like normal machine activity while the attacker expands reach across the environment.

Breaches seen in the wild

• Dropbox Sign breach 2024: A compromised back-end service account gave attackers Dropbox Sign customer data, including API keys, OAuth tokens and MFA information.
• OneLogin API flaw (CVE-2025-59363): A OneLogin API flaw exposed OIDC client secrets to anyone with an API key, including vendors (CVE-2025-59363); fixed with no customer impact.

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

NHI Mgmt Group analysis

Token sprawl is an identity governance failure, not just a secrets problem. Once tokens outnumber human users across cloud and automation layers, the programme is no longer governing discrete credentials. It is governing a living credential estate with unclear ownership, multiple issuers, and weak revocation discipline. The practical conclusion is that machine identity inventory becomes a baseline governance control, not an optional hygiene task.

Silent lateral movement is the distinctive risk because valid tokens do not behave like stolen passwords. Traditional detection models assume suspicious access will look anomalous at login time. Token-based abuse often looks like routine system-to-system activity, which means the security assumption being violated is that access telemetry will reveal misuse. Practitioners need to treat issuance, refresh, and scope drift as the real risk surface.

Short-lived tokens do not solve persistence when workloads can mint new credentials on demand. The control premise that expiration limits attacker dwell time only holds when token creation is tightly governed. If a compromised container or integration can continuously request fresh access, lifecycle length becomes less important than issuance authority. The implication is that revocation and issuance policy must be designed together.

Token sprawl creates identity blast radius across otherwise separate platforms. A service account in one environment, an OAuth token in another, and a CI/CD credential in a third can become a chained access path when ownership is not enforced. That is why NHI governance has to follow the path of reuse across systems, not just the presence of the secret itself. The practitioner conclusion is to govern the path, not only the token.

Identity-first security is now the only rational posture for environments built on automation. Cloud, SaaS, containers, and AI services all generate non-human access at a pace that human-centric IAM controls cannot keep up with. The named concept here is token ownership debt: credentials that remain trusted long after the accountable owner or workload is no longer clear. Practitioners should treat that debt as an exposure class, not an administrative annoyance.

From our research library:

• DeepSeek alone generated 113,000 new exposed API keys in 2025, illustrating how new AI providers create credential exposure before security guardrails catch up, according to the State of Secrets Sprawl 2026.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, according to the Ultimate Guide to NHIs.
• Read next: Guide to NHI Rotation Challenges

What this signals

Token ownership debt: the longer a token exists without a clear owner, the more likely it is to become a hidden trust path rather than a managed credential. For IAM teams, that means lifecycle governance must extend to machine identities in the same way it already does for human joiner-mover-leaver processes.

Cloud, SaaS, CI/CD, container, and AI environments are now producing machine credentials faster than human teams can manually reconcile them. That changes the control objective from merely reducing secret count to proving that every token has a bounded purpose, bounded scope, and an accountable issuer.

For practitioners

• Inventory all machine tokens Build a current map of API keys, OAuth tokens, service account credentials, and other machine identities across cloud, SaaS, CI/CD, containers, and AI services.
• Enforce explicit token ownership Require every token to have a named owner, a documented purpose, and a defined expiration or revocation rule before it is allowed to persist in production.
• Limit token scope aggressively Constrain service accounts and API tokens to the minimum resources they actually need, and remove broad cross-resource permissions that enable silent lateral movement.
• Monitor token issuance and refresh Track how tokens are requested, renewed, and used so abnormal request frequency or access from unexpected workloads is visible before attackers expand access.
• Retire stale integrations and shared secrets Remove unused apps, hard-coded tokens, and shared credentials from scripts, repositories, and automation flows so old access paths stop surviving changes in ownership.

Key takeaways

• Token sprawl turns ordinary machine credentials into hidden access paths that can be reused for lateral movement without traditional login alerts.
• The main evidence is not just secret volume but the way valid tokens, automatic refresh, and weak ownership combine to create persistent cloud access.
• Teams should focus on inventory, ownership, scope reduction, and token issuance monitoring because lifecycle control is what closes the path.

Key terms

• Token Sprawl: Token sprawl is the accumulation of too many active, forgotten, or overlapping tokens across SaaS and automation workflows. It creates visibility gaps, increases the chance of over-privilege, and makes revocation slow when an incident forces a response.
• Silent Lateral Movement: Movement through an environment using valid machine credentials that look like normal system activity. Unlike noisy password compromise, it can bypass login-based detection and persist through token refresh, making the attacker harder to spot and remove.
• Machine Identity: The digital identity of a machine, device, or workload, such as a server, container, or VM, used to authenticate it within a network. Sometimes used interchangeably with NHI, though NHI is the broader category.
• Token Refresh: Token refresh is the process of replacing an expiring access token with a new usable credential without re-prompting the user. It reduces friction, but it also creates lifecycle dependencies that must be monitored so expired, revoked, or orphaned access does not linger unnoticed.

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 building or maturing an IAM programme, it is worth exploring.