10decoders
AI Agents Don't Log In. They Get Handed a Key and Never Asked Again
A developer connects a new agent to the CRM in an afternoon. It needs to read customer records and write a few fields back, so someone generates an API key, drops it into a configuration file, and moves on to the next integration. Nobody schedules a follow-up conversation about that key, because nothing in the setup process asks for one. Six months later the agent is still running, the key still works, and the person who created it may not remember doing so.
That pattern is now the default, not the exception. A 2026 survey of 400 IT and security leaders by Akeyless and MRA Research found that every organization surveyed uses some form of persistent credential, meaning an API key, a static secret, an OAuth token, or a service account, to connect AI agents to systems and data, while only 45% use short-lived credentials at all. A persistent credential is the fastest way to get an agent working, and also the easiest thing to forget existed once it does.
The scale compounds the problem. Gartner's 2026 identity research finds that 94% of organizations are already managing a jump in machine identities driven largely by AI and agent deployment, and has named IAM adapting to AI agents one of its top identity trends for the year. Traditional identity systems were built around a human logging in, working a session, and logging out. An agent authenticates once, keeps working indefinitely, and often nobody revisits that decision until an audit or an incident forces the question.
"A credential a machine never has to ask for again is a credential nobody is checking on."
Where Agent Credentials Actually Go Missing
| Where the credential lives | What actually happens | Severity |
|---|---|---|
| Hardcoded keys in agent config or MCP files | Sit in plaintext wherever the config lives, readable by anyone with repo or file access, and rarely covered by the scanners built for source code | Critical |
| OAuth tokens issued once, never expire | Keep working long after the project that created them ends, with no trigger that forces anyone to look at them again | Critical |
| One shared service account across several agents | Leaves no way to tell which agent made a given call once something goes wrong, so every investigation starts from zero | High |
| Credentials pasted into chat or docs during setup | Leak outside code entirely, in collaboration tools where most secret scanners never look at all | High |
| Rotation only happens after a suspected leak | Detection alone takes about 14 hours on average, and containment takes close to a week after that | Moderate |
| Agent credentials created outside IAM review | Move faster for the team that created them, but never enter the inventory security actually checks | Lower |
Not sure where your AI agents' credentials actually live?
10decoders audits the non-human identities behind your agent deployments, mapping every API key, token, and service account back to the system it touches and the person responsible for it. We flag standing access before an attacker or an auditor finds it first.
Book a Free AI Assessment →An Identity Model Built for Humans Who Log Off
Identity and access systems were designed around a specific shape of user: a person who authenticates, works inside a bounded session, and eventually logs out. An AI agent breaks that shape in every direction. It can run continuously, chain calls across a dozen systems in a single task, spin up a sub-agent that inherits its own permissions, and never produce the kind of session boundary an identity system was built to check.
Gartner describes the shift directly: once software decides which tools to use and what actions to take, the old assumptions about stable identities and predictable access paths stop holding, and the real question for identity teams becomes how agent access gets discovered, approved, delegated, and audited when the actor on the other end is not a person. Most enterprises have not answered that question yet. Akeyless's research found that 67% of organizations suspect an AI agent has already accessed data outside its intended scope, and only 7% believe their current controls could stop a compromised agent from acting outside its intended behavior.
None of this requires an exotic attack. A standing credential with broad scope, attached to something that runs continuously and that nobody reviews, will eventually be used for something it was never meant to do. It usually is.
The Handed-a-Key Stage
An agent gets one static API key or OAuth token at setup, with no expiration date and no named owner. It works, so nobody revisits the decision until something forces the question.
The Rotate-After-the-Fact Stage
A suspected leak or a compliance review triggers a round of credential rotation, but there is still no standing inventory, no expiration policy, and no way to know how many other agent keys sit in the same condition.
The Ephemeral-by-Default Stage
Agents authenticate with short-lived, scoped credentials issued per task, every non-human identity has a named owner in a real inventory, and rotation happens on a schedule instead of in response to a scare.
Is Your Agent Credential Inventory Real, or Assumed?
Most teams believe they have a handle on this until they try to produce the actual list. Run your own environment against the questions below.
AI Agent Credential Reality Check
"The agents that hold up under audit are the ones whose credentials expire before anyone has to ask why they still work."
What to Do This Week
01 Build one inventory for every non-human identity
Pull a list of every API key, OAuth token, and service account any agent uses across every team, not just the ones security already knows about. Check MCP configuration files and agent framework configs specifically, since research consistently finds these holding hardcoded credentials nobody scanned for. Assign an owner to each line before the list goes anywhere near a shelf.
02 Put an expiration date on every standing credential
For any key or token that currently has no expiration, set one, even a long one, since a credential that must be renewed gets looked at again by definition. Where the platform supports short-lived tokens or workload identity instead of static keys, migrate the highest-risk integrations first, not the easiest ones to change.
03 Scope each credential to one system, not a shared master key
Replace shared service accounts spanning multiple agents with per-agent, per-system credentials so a single compromised key can only reach one place. This also makes a suspicious call traceable back to the specific agent that made it, instead of a shared account nobody can attribute.
04 Move rotation from reactive to scheduled
Set a fixed rotation cadence for every credential in the inventory instead of waiting for a suspected leak to trigger it. Build alerting that can catch anomalous credential use in minutes rather than the current multi-day average, since the cost of a slow response compounds every hour the access stays open.
Let 10decoders Audit the Identity Layer Behind Your AI Agents
We map every credential, key, and token your agents use back to the system it touches and the person responsible for it, then help you move from standing access to scoped, short-lived credentials your security team can actually see.