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Why we built Anchor

We knew the work.
We questioned the complexity.

After decades of building and managing privileged access management systems, we kept coming back to the same question: why had protecting access become so difficult to operate?

Experience, not a feature checklist

The friction was familiar.

We saw customers paying for large software suites while using only a fraction of them. Routine tasks meant navigating layers of configuration. Vaults grew heavier, migrations became projects of their own, and the effort of running the tools competed with the work they were meant to protect.

We also saw customers pushed away from on-premises deployments, losing choices about control and hosting. Paid support did not always deliver the help they needed. Adding another automated barrier between a customer and an answer was not the solution.

Those experiences shaped Anchor: a focused approach to privileged access, built around the people responsible for operating it.

Software should fit your operations.
Not make your operations fit the software.

What we chose to do differently

Less friction.
More deliberate choices.

Our experience shaped a clear set of priorities: practical operations, customer choice, and a straightforward relationship.

01

Keep control of where you run.

On-premises should remain a choice.

We saw customers pushed toward cloud services even when their requirements called for control over their own infrastructure. Anchor’s approach embraces distributed on-premises and customer-managed cloud installations, with single-host placement for demos and evaluation. We’ll work through the right fit for your environment together. Hosting should be your decision.

02

Solve the work. Skip the sprawl.

Focus is a product decision.

We are not trying to cover every conceivable use case. We focus on governed privileged access, credential operations, posture, and evidence. You should not need to navigate a thousand settings to make routine work happen. Clear defaults and deliberate configuration are the goal.

03

Make the commercial model understandable.

Clarity before commitment.

Our principle is straightforward licensing and payment terms: understand what you are buying, what is included, and what support covers. The conversation should start with your operating needs—not a stack of add-ons. We’ll walk through the scope, pricing, and support with you so you can make a clear decision.

04

Make management part of the console.

Routine operations should feel routine.

Our direction is console-first management, including governed component restart and recovery workflows where supported. That means clear authority, visible impact, and a recorded outcome—not hopping between hosts or guessing whether an operation succeeded. Availability depends on the component and release.

05

Reduce the weight around the vault.

A deliberate footprint. A deliberate transition.

We want less vault complexity and less migration burden—not another layer of infrastructure to maintain. Operational state and historical evidence have distinct responsibilities. Migration planning must account for both; simplicity is not a reason to discard required history or promise a risk-free move.

06

Build for the way teams automate.

Repeatable work deserves a repeatable path.

Automation should be a normal way to use the product, not a workaround. Anchor’s architecture puts manual and scheduled credential work on the same governed execution path. API- and CLI-oriented workflows are part of that approach, with authorization, verification, and evidence still attached.

People first. AI in a supporting role.

Support should feel
like a conversation.

When something gets in your way, you want someone to understand the problem—not another system to navigate. Our approach starts with your question, keeps the context together, and gives human help a central place.

Anchor Assist

Let’s make sense of it together.

Assist’s approach brings approved, sanitized diagnostics into the support conversation. The aim is more useful questions and clearer next steps, with customer authorization and limited evidence access at the center.

AI Insights

Useful interpretation. Governed action.

Insights adds an evidence-linked advisory perspective. Suggestions are not execution authority; changes still require the appropriate review, permission, and verification.

A practical conversation

A better fit starts with your reality.

Tell us about your deployment needs, workflows, and support expectations. We’ll discuss fit, current release capabilities, and commercial terms without assuming that one product is right for everyone.