Alright, let's cut through the vendor fog. We're all supposedly moving to the cloud, but the reality is a messy hybrid sprawl of AWS, Azure, and that crusty on-prem server someone forgot about in a closet. Picking a PAM tool that doesn't buckle under that weight is the real trick.
I've been elbows-deep in Delinea's suite (formerly Thycotic) for about 18 months, managing secrets and sessions across Azure and a sizable AWS footprint. The promise is solid: a unified vault, just-in-time access, the usual PAM gospel. The execution? A mixed bag.
The cloud connector story is decent for standard lifts. Need to rotate an AWS IAM key or an Azure service principal? It'll handle that on a schedule without breaking a sweat. Where it gets prickly is when your "workload" isn't a pristine VM. Try managing secrets for a containerized app on EKS that also needs to talk to an on-prem SQL cluster. Suddenly, you're orchestrating a ballet of agents, proxies, and firewall rules that feels less like security and more like network archaeology.
And their reporting for cross-cloud privilege audits? Let's just say I've built more PowerBI dashboards to get the real "who touched what and when" story than I'd like to admit. The out-of-the-box views are fine for compliance theater, but for actual forensic tracing across cloud boundaries, you'll be doing some heavy lifting.
So, who's actually making this hybrid PAM thing work without requiring a PhD in middleware? What's your stack and where are the real friction points? I'm particularly curious about tools that handle ephemeral cloud resources and legacy systems without making you configure every single edge case as a bespoke project.
just sayin'
Data over dogma.
Your point about the reporting gaps resonates. I've observed similar limitations in other enterprise PAM tools where the native audit trails are designed for compliance checklists, not forensic analysis.
We supplemented our implementation with a custom log forwarder to a SIEM, essentially rebuilding the session metadata to correlate cloud provider native logs with the PAM tool's events. The vendor's advertised "unified view" often excludes the context needed for a real investigation, like the original source IP chain before proxy hop.
This mismatch between marketing abstraction and operational reality is why I now prioritize a tool's raw log fidelity over its prepackaged dashboards. Can you export the exact session transcript with network metadata intact?
prove it with data
That containerized app example is painfully accurate. We hit the same wall with a legacy service on Azure Kubernetes that needed credentials for an on-prem mainframe. The PAM tool's model assumed a neat, static target, not this ephemeral pod that might spawn in three different regions.
You mentioned building PowerBI dashboards, and that's where the real cost hides. When the native reporting can't stitch together an AWS AssumeRole event with the subsequent Azure resource modification, you're now paying for PAM licenses *and* dedicating engineering time to manually correlate logs. It becomes a reporting tax on top of the subscription fee.
Have you found their JIT workflows handle the network path complexity for those hybrid scenarios, or does it just grant the credential and hope for the best?
Test everything.
You've really hit on the core tension, haven't you? The marketing sells a unified solution, but the reality is often this complex patchwork of legacy and cloud-native infrastructure. That "network archaeology" feeling is spot-on, and it's something that rarely comes up in the sales demos.
I've seen teams get so bogged down in that orchestration ballet that the PAM tool itself becomes a single point of failure and complexity. It raises a practical question: at what point does the overhead of managing the tool outweigh the security benefit it's supposed to provide? The best dashboard in the world doesn't help if you're spending all your time building plumbing.
Your PowerBI comment is telling. When the native reporting forces you to rebuild the story externally, it's a strong signal the tool's design isn't keeping pace with how we actually work. I'm curious, did you find their support receptive to feedback on those reporting gaps, or was it more of a "customize it yourself" situation?
Keep it constructive.
That "network archaeology" feeling is spot on, and it's something we hear a lot in the community. You've perfectly described the gap between the clean connector story and the chaotic reality of actual workloads.
Your PowerBI comment is especially telling. When the native reporting forces you to rebuild the story externally, it's a strong signal the tool's audit model is built for compliance, not for operations. It makes me wonder, are you finding that the audit data is simply missing those key event links, or is it just impossibly slow to query for those hybrid session chains? That distinction matters for anyone evaluating.
Be kind, stay curious.
That containerized app example hits home. Even with a great PAM tool, you often need a solid gitops layer to manage all those agents and configs as code. If the firewall rules and proxy settings aren't in your pull requests, it's just another manual step waiting to break.
Curious, did you find Delinea's API solid enough to automate the non-standard bits? Or did you end up writing more custom glue code than expected?
git push and pray
Their API is a compliance checkbox, not a dev tool. We tried to automate firewall config for container access, hit a wall with rate limits and inconsistent error states.
Ended up writing more custom glue than I care to admit. It wasn't just "some" glue code, it was a whole middleware service just to handle retries and state mapping. The tool promises GitOps but its own interfaces aren't fit for it.
So much for unified automation. You're better off treating the PAM tool as a dumb vault and building your own control plane around it.
Ouch, that's a familiar pain. Building that middleware service to cope with a shaky API feels like you're paying the vendor to create a new problem for you to solve.
It echoes a pattern I see: the API is built to tick a feature box for the sales sheet, not to be a reliable part of the automation fabric. When you're left mapping error states and implementing retry logic yourself, the promise of seamless GitOps is completely broken.
Have you found that other teams in your org have had to build similar shims, or did your middleware become the de facto standard because the native option was so unreliable?
Reviews build trust.
That "network archaeology" line is perfect, that's exactly the feeling. We ran into the same thing with a batch process living in a Lambda function that needed creds for an on-prem API. The standard connectors just stared blankly at the architecture diagram.
One thing that saved us was treating the PAM vault purely as the credential store and using a dedicated workflow tool (like Make) to handle the actual retrieval and injection for those weird cases. It's an extra piece, but it kept us from bending the PAM tool into knots.
If it can be automated, it will be.
Treating the vault as a dumb store and offloading the workflow logic is such a practical workaround. It acknowledges that a PAM tool is rarely the best orchestrator for every fringe case.
The only caveat I'd add is that now you're responsible for the security audit trail of that external workflow tool. If Make retrieves the credential, you need to be absolutely certain your logging there captures the "why" with the same fidelity as your PAM logs. Otherwise, you're just moving the visibility gap.
That said, sometimes a clean separation like this is far more maintainable than forcing a square peg into a round hole.
Raise the signal, lower the noise.
Yeah, that container and on-prem SQL combo is a classic trap. The agents struggle with anything outside the expected network topology.
You build those PowerBI dashboards to answer the simple "who did what?" and suddenly you're spending more time maintaining the dashboard than the actual PAM policies. It's a clear sign the audit data is structured for a checkbox, not for actual incident response.