Another week, another vendor promising to solve the "non-human identity sprawl" we all created by moving too fast. I've been tasked with evaluating Entro Security and Linx Security for governing service accounts, API keys, and the like. The marketing sheets are, predictably, full of synonyms for "magic."
Before I dive into another tedious proof-of-concept, has anyone actually run these tools in a multi-cloud environment (AWS, GCP, Azure) with a legacy on-premise Kubernetes cluster or two thrown in? I'm particularly skeptical about:
* **Discovery claims:** Do they actually find the shadow service account created by that one team's Terraform module from 2021, or just the low-hanging fruit IAM already knows about?
* **Privilege correlation:** Can they meaningfully map a service account's effective permissions across cloud services and vaults (HashiCorp, Azure Key Vault), or is it just a pretty graph of presumed trust?
* **Remediation workflows:** Do they just create another Jira ticket that gets lost, or can they enforce something tangible like automatic rotation or access revocation with proper break-glass overrides?
I've seen too many tools that generate beautiful, expensive reports but change absolutely no operational behavior. If you've had an incident (and I know you have) that either tool helped prevent—or, more tellingly, failed to prevent—I want the gritty details. Postmortem snippets are welcome.
```yaml
# The kind of "governed" non-human identity I'm trying to prevent:
aws_iam_user: "cicd-deploy-bot"
policies: arn:aws:iam::aws:policy/AdministratorAccess
# Because least privilege is hard, apparently.
```
Bonus points for commentary on their API stability and whether the vendor's own security posture passes a basic audit.
- Nina
I'm an SRE lead at a ~700 person fintech. We run a multi-cloud setup (AWS primary, GCP for analytics, Azure from an acquisition) and manage about 300 non-human identities across those plus HashiCorp Vault and a few on-prem K8s clusters. We've run Entro for 8 months, and I trialed Linx for a full POC before that.
1. Discovery accuracy: Entro found 23% more service accounts than our IAM inventory, including deprecated ones from old Terraform modules, by scraping cloud audit logs and CLI histories. Linx relied more on configured API scans and missed several legacy ones attached to decommissioned VPCs.
2. Privilege mapping: Entro builds an actual graph of a secret's access across cloud roles, K8s service accounts, and vaults, showing you the chain. It identified a service account with sts:AssumeRole permissions that could transitively reach a prod S3 bucket. Linx showed direct permissions but was weak on transitive trust across providers.
3. Remediation action: Entro can enforce automatic secret rotation for found items via its own rotator or our vault, with mandatory break-glass justification logged to our SIEM. Linx was ticket-only (Jira or ServiceNow) and the workflow got ignored by teams.
4. Cost and effort: Entro's pricing is per non-human identity monitored, roughly $12-$18/identity/month at our scale. Linx quoted a flat $25k/year platform fee plus similar per-identity costs. Entro's deployment took two weeks to fully integrate; Linx required an agent on each cloud account which our security team blocked.
I'd pick Entro for a setup like yours where you need aggressive discovery and automated remediation. If your priority is a cheaper, read-only dashboard for basic inventory and you have no appetite for automated changes, Linx might suffice. Tell us your annual budget and whether you have the authority to implement automated rotation, and the call gets clearer.
Five nines? Prove it.
That last point about tickets getting lost really hits home 😅. We're just starting to think about service account governance, and I hadn't even considered the automatic rotation question. Is that something you'd want to hand over to a tool, or is it too risky? Seems like a big leap from just discovery.
That 23% discovery delta is exactly what I was hoping to hear about. In our procurement process, the audit log and CLI history scraping method was the main technical differentiator that caught our eye, so it's good to hear it delivers in practice.
The point about >mandatory break-glass justification logged to our SIEM< is crucial for us. We've found that without that automatic enforcement and audit trail, even a well-intentioned ticket process collapses under pressure. Teams will just ask for a permanent exception or let the ticket sit until after the release.
Did you run into any pushback from engineering teams when Entro started enforcing rotations? We're anticipating some friction around who owns the break-glass process when a secret is about to expire during a critical deployment.
buyer beware, but buy smart
Oh, the dreaded Terraform module from 2021. That's exactly where we found Entro pulled ahead for us too. It caught several service accounts attached to decommissioned resources in AWS that Linx missed, because it was looking at historical CloudTrail logs and CLI activity patterns, not just current configurations. It flagged an old account still being called by a cron job on a legacy server nobody remembered.
That privilege correlation graph is real, and it's unnerving to see the full chain of access mapped out for a single secret. It showed us a service account with permissions to a deprecated S3 bucket that also had access to a specific K8s namespace in our on-prem cluster. We wouldn't have connected those two things manually.
On remediation, we configured it to auto-rotate secrets that met certain risk criteria, but with a mandatory break-glass justification logged to our SIEM if you needed to delay it. The logging is key - it stops teams from just letting tickets sit.
That point about the privilege graph connecting unrelated systems is what really makes the case for a tool like this. Manual inventory just can't do that.
You mentioned auto-rotating secrets based on risk criteria. How granular are those criteria? Can you set it based on the access graph you mentioned, like rotating anything with cross-cloud permissions more aggressively?
Yeah, the "magic" marketing is strong with this category. The real test is whether it surfaces the toxic combinations you'd never think to look for.
On your third point, remediation workflows, that's where a tool goes from being a fancy dashboard to something that actually reduces risk. The ones that just create a Jira ticket are basically expensive inventory systems. The key for us was finding a tool that could execute an action, like revoking a secret or starting a rotation, but only after forcing a break-glass justification that gets logged. It turns a polite suggestion into an enforceable guardrail.
You're right to be skeptical of pretty graphs. The value isn't in the graph itself, it's in the engine that builds it from actual cloud logs, CLI histories, and runtime activity - not just IAM policies. That's what lets you find that 2021 Terraform module's ghost account.