Six months ago, our leadership team made the decision to migrate our entire privileged access management stack from CyberArk to HashiCorp Vault. The pitch was the usual cocktail of modern architecture, developer-friendly APIs, and the promise of streamlined automation. Having now lived through the implementation and the first half-year of operation, I feel compelled to offer a less rosy, ground-level perspective that seems conspicuously absent from the usual case studies.
Let's start with the core premise of the migration: automated secrets rotation. Vault's dynamic secrets for databases and cloud providers are, in theory, elegant. In practice, they introduced a new class of dependency hell. Our legacy applications, the ones that don't live and breathe in Kubernetes with sidecars, required significant refactoring. This wasn't a simple lift-and-shift; it was a development project that wasn't budgeted for. The Vault Agent pattern adds operational overhead that the CyberArk CPM model, for all its clunkiness, kept isolated from the application teams. Now, a Vault outage or a connectivity blip doesn't just mean a failed credential check—it means applications can't *start* or renew their leases, causing cascading failures. We traded a centralized, albeit slow, vault for a distributed failure model.
The total cost of ownership narrative is also misleading. Yes, Vault's core is open source, but to even approach the enterprise features we took for granted in CyberArk (detailed session recording, robust just-in-time access workflows, granular access controls without writing a novel in Sentinel policy), you are funneled directly into Vault Enterprise. Once you factor in the infrastructure to run a highly available Vault cluster (with disaster recovery and performance standby nodes), the engineering hours spent writing and maintaining policies and auth methods, and the training for both security and developer teams, the licensing cost savings evaporated by the end of Q1. We've essentially built a custom PAM platform, and we now own every bug and scaling problem.
Furthermore, the ecosystem's velocity is a double-edged sword. The constant churn of auth method updates, the deprecation of certain storage backends, and the ongoing saga with their licensing changes introduce a different kind of lock-in. It's not the contractual lock-in of a vendor like CyberArk, but a deep operational and architectural lock-in. Migrating *out* of Vault would be a multi-year endeavor because its patterns are now baked into our codebase. At least with a commercial vendor, the contract has an end date and a clear, if painful, exit path.
In summary, the migration has successfully traded one set of problems for another, arguably more complex, set. The rotation is technically more "continuous," but the system's fragility and the hidden costs have made several of us long for the predictable, if infuriating, stability of the old guard. The real lesson here is that there is no silver bullet in secrets management, only a series of calculated trade-offs, and the hype around modern, API-driven tools often glosses over the significant operational burden they shift onto your own team.
Just my two cents
Skeptic by default
I'm a security procurement lead at a mid-sized fintech (~500 employees). We run both CyberArk for traditional IT endpoints and Vault for our cloud-native apps on AWS and Kubernetes.
Here's my breakdown from our evaluation and partial rollout:
**Pricing reality**: CyberArk came in around $80-120 per user/year for the core PAM module, not counting the infrastructure overhead. Vault's open-source core is "free," but our TCO for Enterprise support, dedicated ops engineer time, and HashiCorp Cloud platform fees landed at roughly $45k annually.
**Integration effort**: CyberArk's CPM for Windows servers took about 2 days per 100 servers to configure. Getting Vault's dynamic database secrets working required a developer to spend 3 weeks refactoring a single legacy app's connection pool. The modern stuff was faster, but the long tail was real.
**Where Vault clearly wins**: Dynamic secrets for AWS IAM or database creds. If your app can request short-lived secrets on startup, the automatic rotation is a real security upgrade over CyberArk's scheduled password rotations, which always left a window of exposure.
**Where it breaks**: Any stateful, legacy service that holds a connection open for hours can't use dynamic secrets without a major re-architecting. We had to fall back to static secrets in Vault for those, which felt like a step backwards from CyberArk's rotation. Also, Vault's availability is now a critical path dependency for app starts.
I'd recommend Vault only if your stack is >70% cloud-native, stateless, and your app teams are ready to own their integration. If you're mostly managing IT admin accounts, RDP sessions, and legacy Windows servers, stick with CyberArk. To make a clean call, tell us what percentage of your use cases are for legacy applications versus new cloud workloads.
Still learning.