Stakeholders
Security / IAM, app owners, infrastructure, compliance & audit
Bring non-human identities under control — securely, safely, and audit-ready. Service accounts run apps, integrations, jobs, and automation. When unmanaged, they become high-impact, hard-to-detect attack paths.
Security / IAM, app owners, infrastructure, compliance & audit
AD / Entra ID, Windows/Linux services, databases, cloud workloads, CI/CD, integration platforms
Audit findings, incident response, PAM rollout, cloud migration, M&A, legacy app cleanup
“Can’t break production”, tight maintenance windows, unknown dependencies, limited documentation
Owned accounts, vaulted secrets, rotation policy, least privilege, monitoring, evidence on demand
Reduced credential sprawl, fewer standing privileges, faster audit responses
Discovery is where these turn up, which is why it is the first phase of every PAM implementation.
Service accounts are powerful non-human identities used to keep systems running. Over time they multiply, lose ownership, and accumulate permissions. Many end up with long-lived credentials embedded in scripts, schedulers, or code — making them both easy to overlook and valuable to attackers. Common symptoms:
What it looks like: a service account becomes “admin” to fix an outage and stays that way. Why it matters: one compromised secret can unlock critical systems.
What it looks like: attackers reuse non-human credentials to move quietly across systems. Why it matters: service accounts are rarely monitored like users.
What it looks like: integrations and scheduled jobs create invisible dependencies and access routes. Why it matters: security controls miss the machine-to-machine layer.
What it looks like: no inventory, no owners, no evidence of reviews or rotation. Why it matters: findings repeat, remediation is slow, risk is hard to explain.
Identify service accounts across directories, hosts, platforms, and apps. Map where each account is used and what it can access. Classify by risk tier (Tier 0/1/2 style).
Set an ownership model (who approves, who maintains), naming and documentation standards, and onboarding/offboarding with change control.
Move secrets to a vault / secrets manager, implement rotation that respects app constraints, and reduce permissions to least privilege with defined access boundaries.
Monitoring and alerting for abnormal usage, periodic recertification and drift detection, and an audit evidence package ready on request.
Secrets scattered through the estate, with nobody accountable for them.
Secrets under policy, with owners, rotation, and evidence.
Ownership, tiering and least privilege. Vaulting, rotation and policy enforcement. Logging, monitoring and evidence.
App / Job / Automation
Service Account
Vault / Secrets Manager
Target System (DB / Cloud / API)
Any non-human identity used by an application, script, scheduled job, integration, or device to authenticate and access a system. That includes AD/Entra service accounts, local service accounts, API keys, OAuth client credentials, and machine identities — anything that logs in without a person behind it.
A privileged user account belongs to a person who is accountable for its use; a service account belongs to a system and often has no clear owner. Both can hold high privilege, but service accounts tend to use long-lived static credentials, rarely get MFA, and are seldom monitored — which is exactly why they need a dedicated lifecycle.
Interactive MFA usually doesn’t fit non-human accounts. Instead, the equivalent controls are vaulted credentials, short-lived secrets or certificates, IP/host restrictions, and just-in-time access through a broker — so the account can only be used by the intended workload, from the intended place.
Rotation cadence should follow risk tier rather than a single blanket rule. High-impact (Tier 0) accounts rotate most frequently, often monthly or on every use via automation; lower tiers can rotate less often. The key is that rotation is automated and tested so it doesn’t break the apps that depend on it.
Prefer certificates or short-lived tokens where the platform supports them, since they’re harder to steal and reuse than static passwords. Keys suit machine-to-machine APIs. Where passwords are unavoidable, vault them and rotate by policy. The right mix depends on what each target system actually supports.
It can, if done blindly — which is why we map dependencies first and roll out rotation by tier with testing and safe fallback. Many modern platforms support coordinated rotation (the secret updates in the vault and the consuming app picks it up automatically), removing the manual break-fix risk.
We inventory where the secret lives, introduce a vault or secrets-manager retrieval path where the app can support it, and for truly rigid legacy apps apply compensating controls — tighter network restrictions, monitoring, and a documented rotation window — while planning remediation.
An inventory with assigned owners, evidence that secrets are vaulted, a rotation policy with proof it runs, least-privilege configuration, and monitoring/recertification records. The goal is to produce that evidence on demand rather than scrambling for it at audit time.
The engagement is a PAM implementation. On CyberArk the module is Conjur — see CyberArk modules; on Keeper it is Secrets Manager — see Keeper products. Everything else we deliver is on all our IAM services.
If service accounts feel like “mystery glue” holding production together, we’ll help you turn that mystery into inventory, policy, and evidence — without disrupting delivery. Want a quick starting point? We can share a tiering + rotation checklist tailored to your platforms and change windows.
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