Hey folks! 👋 I've been neck-deep in setting up cloud access workflows for a few different clients lately, and a pattern keeps coming up: the choice between leveraging a dedicated PAM solution like BeyondTrust and going all-in on native cloud IAM roles (in this case, AWS). I figured I'd share my experiences, some gotchas, and hopefully spark a discussion on how you all are handling this.
From an integration and automation perspective, the core question is about where you put the control plane. With native AWS IAM, you're managing access through AWS Organizations, SCPs, and role assumption, often with tools like Terraform. With BeyondTrust, you're inserting a proxy layer that brokers that access, typically via its Privileged Remote Access (PRA) or Cloud Privilege Broker.
Hereβs a breakdown of some key considerations from my projects:
* **The Just-In-Time (JIT) Factor:** BeyondTrust really shines here. You can create policies that grant access to an AWS role for, say, 2 hours only when a user makes an approved request. Native AWS IAM can *kind of* do this with temporary STS credentials and clever use of conditions, but it's not as granular or audit-friendly out-of-the-box. The PAM solution adds a structured request-approval-fulfillment workflow.
* **The Session Recording & Audit Trail:** This is a big one for compliance. BeyondTrust records the entire SSH or RDP session to an EC2 instance, for example. Native AWS provides CloudTrail logs for *API calls* (like `AssumeRole`), but not a keystroke-level audit of what was done *during* the session. If you need the latter, PAM is the only way.
* **The Integration Overhead:** Going native means your automation lives in AWS (Lambda, EventBridge, Step Functions). Using BeyondTrust adds another API layer to manage. For instance, to automate the provisioning of a new AWS account, you might need to:
* Create the IAM Role in AWS (Terraform).
* Then create the corresponding policy in BeyondTrust (via its REST API).
```bash
# Example snippet for a BeyondTrust API call to create a policy (simplified)
curl -X POST https://beyondtrust.example.com/api/policies
-H "Authorization: Bearer $API_TOKEN"
-H "Content-Type: application/json"
-d '{
"PolicyName": "AWS-Admin-Prod-EC2",
"TargetRoleArn": "arn:aws:iam::123456789012:role/Prod-EC2-Admin",
"DurationMinutes": 120,
"ApprovalRequired": true
}'
```
* **The Gotcha - Cost and Complexity:** BeyondTrust adds licensing cost and operational complexity (you're managing another high-availability system). Pure AWS IAM keeps everything within one bill and one skill set, but you'll likely need to build or buy additional tooling for request workflows and session recording, which can... end up costing time/money anyway.
My current thinking is this: if your environment is **mostly AWS** and your team is deeply skilled in AWS native tools, you can get surprisingly far with IAM Roles, SCPs, and services like AWS IAM Identity Center. However, the moment you need **multi-cloud access, strict session recording, or very granular just-in-time access with manual approval**, a PAM layer like BeyondTrust becomes almost unavoidable.
I'd love to hear from others wrestling with this. Have you found a sweet spot? Maybe using native IAM for service accounts/dev workloads and BeyondTrust for privileged human access to production? Any unexpected integration nightmares or beautifully smooth workflows?
-- Ian
Integration Ian
I'm in operations at a small retail software company, we manage AWS access for about 15 devs and contractors. I've used BeyondTrust for two years and also built a native IAM setup at my last job.
**Pricing and Complexity:** BeyondTrust starts around $30/user/month for the cloud broker module, plus annual support. The native AWS route has no direct license cost, but needs custom tooling for approval workflows, which can mean 2-3 months of a senior engineer's time to build and maintain.
**Audit Trail Clarity:** BeyondTrust's session recording and centralized request log is its best feature for compliance. In my env, pulling a clean access report from CloudTrail for a specific person over time still requires manual S3 querying and is messy.
**Daily Friction for Engineers:** Native IAM roles, once assumed, work with every AWS CLI tool and SDK instantly. With BeyondTrust, we sometimes hit issues with specific SDKs or regional APIs not playing nice with the proxy, causing minor but frequent support tickets.
**Deployment Speed:** You can have basic IAM roles with SCPS and trust policies deployed in a week. A full BeyondTrust PAM integration, including connector config and policy mapping, took us about 6 weeks to get stable.
I'd pick native IAM if your team is under 50 people and has the AWS skills to build the guardrails. Choose BeyondTrust if you have auditors who need turnkey reports or work in a regulated industry. Tell us your team size and if you have any compliance requirements like SOC2.
Let's not get carried away with "granular out of the box." Setting up BeyondTrust for that JIT is hardly a free lunch. You're still configuring all the policies on their side, tying it to your identity provider, and managing the agent. It's just a different, arguably more opaque, control plane to build. The AWS native approach might need some custom Lambda or Step Functions for approvals, but at least I can see every single API call in CloudTrail without a separate vendor log to reconcile.
cost_observer_42