R/Pulse
Adoption models

Start without changing your entire operation. Evolve when it makes sense.

R/Pulse can start with a point-in-time execution, evolve to continuous operation, or be deployed as self-hosted — according to your maturity, criticality, and governance requirements.

Choose the best path to get started.

Initial diagnosis

Point-in-time execution

When to use

You want to understand current exposure without changing the operation.

Delivers

Initial evidence, prioritized risks, and a foundation for decision.

Best for

Initial diagnosis, business case, and critical surface assessment.

Integration

Continuous operation

When to use

APIs, integrations, or agents change frequently.

Delivers

Recurring re-evaluations, change tracking, and integration into the development cycle.

Best for

Teams with CI/CD, multiple squads, and evolving surfaces.

Enterprise

Self-hosted / Enterprise

When to use

Governance, security, data, or regulation requires maximum control.

Delivers

Operation in an organization-controlled environment, with own infrastructure and internal policies.

Best for

Regulated, restricted, or governance-heavy environments.

All models can be applied to R/Pulse modules. What changes is the surface assessed and the level of operational maturity.

Compare the adoption models.

Compare models by where your organization is: initial diagnosis, recurring operation, or maximum control over infrastructure and data.

Start with a point-in-time execution on a critical surface.

When it makes sense

  • You want to understand current exposure without committing to continuous operation.
  • You need to build a business case.
  • Your organization is not yet ready for continuous operation.
  • Security, engineering, architecture, or governance need initial evidence.

In the API Resilience Core and Open Finance & Insurance Resilience modules, if no high or critical risks are found within the agreed scope, the customer does not pay for that point-in-time execution.

From first evidence to continuous resilience.

01

Start with a critical surface

Choose APIs, integrations, agents, or relevant applications.

02

Generate evidence

Understand risks, impact, and priorities.

03

Re-evaluate after changes

Verify whether the risk was addressed or reduced.

04

Evolve when it makes sense

Move to continuous operation or self-hosted according to maturity and governance.

You do not need to start big. You need to start right.

Start with a critical surface, generate real evidence, and choose the next step based on what the analysis reveals.