IAM stops at sign-in. Your credentials do not.

AI and automation are embedded in daily work. Copilots draft content and pull in customer context. Agents triage tickets, update records, and trigger workflows across Slack, Salesforce, Jira, and GitHub. In engineering, this acceleration shows up in scripts, CI/CD pipelines, and infrastructure automation that depend on secrets to ship and operate software.

Many organizations rely on a mix of sign-in and privileged access controls to standardize logins and secure connected apps. But these systems stop at what can be federated and do not govern the long tail of SaaS apps, shared accounts, or credentials created in automation and AI workflows. Business-led IT makes this unavoidable. Teams adopt tools quickly, often outside centralized reviews or identity provider integration.

Agentic AI compounds the gap. Developers and AI builders generate API keys, tokens, service accounts, and agent secrets. Browser-based agents still use usernames and passwords. Credentials spread into browsers, spreadsheets, scripts, pipelines, and prompts, beyond the reach of traditional identity systems.

That is credential sprawl. It is a business risk that IT and security own, even when the credentials originate outside their systems. 

IAM, SSO, and PAM create a false sense of security

It’s a mistake to assume that securing sign-ins also secures credentials. IAM, SSO, and PAM govern sign-in and privileged pathways. But modern work also runs on shared logins and nonhuman credentials, such as tokens, service accounts, and secrets created and stored outside the identity provider, in the workflows where work happens.

These gaps often become visible only during an audit or incident. At that point, three questions determine whether access is governed or guessed.

• What credentials exist

• Who owns them

• What can they access

If you cannot answer these questions consistently, your identity program is managing sign-ins, not access.

Teams pick and use tools quickly, often skipping central reviews. 1Password research found that 52% of employees have downloaded apps without IT approval.

This creates a shadow credential layer: access is created wherever work happens, such as in browsers, notes, SaaS admin consoles, text files, scripts, and AI prompts. When credentials are created faster than they can be governed, they are reused, shared, and left behind. This results in lingering access that is difficult to inventory, defend, or revoke confidently.

The risks of credential sprawl

Attackers don’t need to break in if they can just sign in. Verizon’s 2025 Data Breach Investigations Report found that stolen or compromised credentials are the most common way attacks start. These breaches take the longest to identify and contain, nearly 10 months. 

Credential sprawl increases credential-based risk in three key ways.

1. It expands the attack surface. As applications multiply and workflows integrate, access extends across human and nonhuman identities. 

2. It creates visibility gaps. Credentials end up outside the identity provider, in places like browser passwords, spreadsheets, notes, scripts, and AI prompts. Over time, this leads to orphaned credentials with no clear owner.

3. It slows response when time is precious. Teams must track down scattered access, determine who owns it, and remove it without disrupting important work. 

Building a credential strategy for how work happens

Without a clear strategy, credential sprawl spreads unmanaged. Teams create credentials quickly to keep work moving. Credentials persist because they work in a moment of need. Workforce change leads to drift as ownership shifts, roles change, and people leave, but automations remain. Traditional Joiner-Mover-Leaver processes are insufficient when credentials are created in browsers, scripts, and workflows.

A credential strategy is a system designed for how work really happens. Coverage, control, and lifecycle are what separate basic hygiene from real credential security.

• Coverage means what you protect: passwords, passkeys, shared accounts, API tokens, SSH keys, service accounts, environment files, and AI agent secrets.

• Control is about how credentials are managed: where they can be stored, how they’re shared, what rules apply, and how access is enforced where work actually happens, not just at sign-in.

• Lifecycle covers how credentials change: creation, ownership, rotation, revocation, and proof, especially as roles change and automation continues.

A credential management strategy that lacks coverage, control, and lifecycle oversight doesn’t lower risk; it redistributes it.

Why credential security must extend to every employee

Securing user sign-ins isn’t enough if passwords, tokens, and secrets are still out of sight. The first step is to clearly know where credentials are, what they’re for, and who can access them. This way, you can answer who has access to what and why without a manual search.

Visibility is only the beginning.

Identity security should not slow innovation; it should make it safe. Organization-wide credential security makes that possible by creating consistent protection and a frictionless experience that people adopt across every person, tool, and workflow.

In a comprehensive model, administrators can manage every credential. Employees and developers get passwordless sign-in across devices. AI agents work securely. IT and security leaders can set standards that make autonomy safe across the business.

AI will continue to accelerate change. To support this progress without expanding the shadow credential layer, comprehensive credential security is essential. Every credential must be governed, every secret should have an owner, and every access path should be ready for audits and easy to revoke if needed.

That’s the world 1Password Enterprise Password Manager was made for.