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Entro Security vs Token Security - real-world experience from a DevOps team

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(@cloud_ops_learner_2)
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Joined: 1 month ago
Posts: 163
Topic starter   [#9009]

Hey folks! 👋 Our team has been deep in the weeds evaluating PAM solutions to lock down our AWS and Kubernetes access, especially for engineers and break-glass scenarios. We've narrowed it down to two strong contenders: **Entro Security** and **Token Security**.

Both promise that "just-in-time" access and secrets management we're after, but the implementation philosophies seem quite different. Token feels more code-centric, like an extension of our Terraform/Ansible workflows, while Entro appears to focus heavily on the visibility and anomaly detection side.

I'd love to hear from other DevOps or Cloud teams who have gone live with either. A few specific things we're wrestling with:

* **Integration Pain Points:** How smooth was it to integrate with our existing tools? Think:
* AWS IAM Roles, OIDC providers
* GitHub Actions runners for CI/CD
* Our HashiCorp Vault instances
* **Daily Developer Experience:** Does it feel like a speed bump or a seamless guardrail? Are the CLI tools and API solid?
* **The Break-Glass Test:** How does the emergency access procedure actually work in a real 3 a.m. outage? Is it fast and auditable?

We're leaning towards a solution that feels like "infrastructure as code" rather than a separate admin panel. For example, defining a just-in-time access policy in something like HCL would be ideal:

```hcl
# Pseudo-code for what we'd love
module "jit_k8s_admin" {
source = "imaginary-pam-provider/jit-access/kubernetes"
role_binding = "cluster-admin"
max_duration = "1h"
approval_required = true
allowed_identities = [data.github_team.platform_engineers.id]
}
```

Any war stories, gotchas, or "wish I knew" insights would be massively appreciated. Did one of these tools save your bacon during an audit? Or become a source of friction?

~CloudOps


Infrastructure as code is the only way


   
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(@benchmark_nerd_1337)
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Joined: 3 months ago
Posts: 183
 

I'm the cloud infra lead for a mid-sized fintech (~150 engineers). We've run Token Security in production for about 14 months, managing JIT access for ~300 AWS accounts and two dozen EKS clusters, and I was on the evaluation team that also did a deep PoC with Entro Security.

Our team's core comparison across four specific criteria:

1. **Developer Workflow Integration**
*Token*: Our engineers live in the terminal. Token's Go-based CLI and its Terraform provider are first-class. Access requests are `token request -r prod-eks-admin` and approvals are `token approve [req-id]`. It feels like a natural extension of our toolchain, not a separate dashboard. The API is RESTful and predictable.
*Entro*: Strong UI-centric workflow with Slack/Microsoft Teams approval plugins. Developers often have to switch contexts to a web dashboard to request or justify access. The CLI exists but feels like an afterthought; during our PoC, we hit several edge cases where complex permission sets weren't fully representable via CLI arguments.

2. **Break-Glass Audit Trail & Speed**
*Token*: Our break-glass procedure is defined as code in the same repo as our IAM roles. In a real 2 a.m. incident, an on-call engineer triggers an emergency request that pings all configured platform leads via PagerDuty. The first to click a link grants immediate, pre-scoped access. The audit log shows the exact justification field entered at the CLI and ties the session to a specific incident ticket number. Grant-to-access time averages under 90 seconds.
*Entro*: Provides richer, real-time anomaly detection around break-glass use. It can flag if an engineer suddenly requests a role they've never used before. However, the emergency access flow in our test required multiple web form steps and a separate 2FA confirmation, adding roughly 3-4 minutes in a simulated crisis. The audit trail is more detailed from a security analyst perspective but is noisy for engineering leads.

3. **Hidden Integration Cost**
*Token*: The main hidden cost was engineering time to model our IAM roles and Kubernetes `ClusterRole` objects as Token "permission templates." This took about two sprints for one platform engineer. The ongoing cost is near zero; it's just another pipeline in GitOps. Pricing is per-seat for engineers who can *request* access (roughly $7-9/user/month for our scale).
*Entro*: The hidden cost is operational overhead for the security team. Entro's strength is continuous discovery and mapping of your cloud entitlements, which generates a constant stream of "finding" alerts that require triage and cleanup. You need a dedicated part-time security analyst to manage that feed. Their pricing leaned towards an annual commit based on "sensitive resources" scanned, which for us was in the $45-50k/year range.

4. **Where Each System Clearly Breaks**
*Token*: It breaks (or rather, shows its limits) in environments where developer self-service isn't the norm. If your security team insists on manually approving every single access request outside the on-call chain, Token's automation-centric model becomes friction. Also, its anomaly detection is basic rule-based; it won't detect sophisticated lateral movement.
*Entro*: It breaks in fully automated, GitOps-heavy pipelines. For example, integrating its just-in-time access into a GitHub Actions workflow to temporarily escalate permissions for a deployment required a custom plugin we had to write and maintain. The system expects a human in the loop somewhere.

My pick: We chose **Token Security** and I'd recommend it for any team whose engineers are already deep in infrastructure-as-code and CLI workflows, and where the goal is to reduce access friction *without* increasing the security team's operational burden. If, however, your primary need is to gain visibility into a chaotic, sprawling permission landscape and you have a dedicated security operations team to act on those findings, then Entro is the stronger candidate.

To make the call clean, tell us: 1) Is your team's primary driver reducing engineer access pain, or satisfying audit/compliance findings? 2) How many FTEs does your security team have for daily tool oversight?


numbers don't lie


   
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