Start without changing your entire operation. Evolve when it makes sense.
RiskPulse can start with a point-in-time analysis of critical APIs, evolve to continuous CI/CD operation, or be deployed in a self-hosted model for regulated and restricted environments.
Choose the adoption model based on your maturity, API criticality, and governance requirements.
A path for every moment in your organization.
Point-in-time execution
Assess critical APIs, discover high and critical risks, generate evidence, and build a business case. Best for initial diagnosis, business case, and spot assessment.
Continuous CI/CD operation
Incorporate preemptive resilience into the pipeline. Continuously track API changes. Best for frequently changing APIs and teams with active pipelines.
Self-hosted / Enterprise
Maximum control over infrastructure, data, and AI key. For regulated, restricted, or governance-heavy environments.
Start with the smallest step capable of generating real evidence. Then evolve.
Assess critical APIs before committing to continuous operation.
Point-in-time execution is the simplest way to get started. You select a set of APIs, endpoints, or critical journeys, define scope, permissions, and analysis criteria, and RiskPulse looks for high and critical risks with reproducible evidence.
When it makes most sense
- You want to understand current exposure.
- You need to build a business case.
- Your organization is not yet ready for continuous operation.
- Security, engineering, architecture, or governance need initial evidence.
If no high or critical risks are found within the agreed scope, the customer does not pay for that point-in-time execution.
When APIs always change, resilience needs to keep up.
After the first analysis, organizations with frequently evolving APIs can bring RiskPulse into a continuous operation integrated with the pipeline. This way, risk intelligence tracks endpoint, contract, and fix changes over time.
Best suited when
- Multiple teams are evolving APIs.
- Endpoints and contracts change frequently.
- The organization wants to reduce dependency on manual review.
- Engineering and security want to incorporate resilience into the development cycle.
Continuous operation turns preemptive resilience into routine.
When governance requires maximum control.
Organizations with access restrictions, strict security policies, or regulatory requirements can operate RiskPulse in self-hosted mode, within their own infrastructure and with their own AI key when necessary.
Best suited when
- There are restrictions on data and system access.
- The organization requires its own infrastructure.
- There is a need to use the organization's own AI key.
- Internal policies prevent execution in an external environment.
- Governance requires maximum control over data and execution.
Run in your environment, respecting your security, data, and AI policies.
From first evidence to continuous resilience.
Start with critical APIs
Choose endpoints, journeys, or critical integrations for a point-in-time analysis.
Generate evidence
Identify high and critical risks, understand impact, and prioritize actions.
Fix and re-evaluate
Use evidence to guide remediations and verify whether the risk was effectively addressed.
Evolve to continuous
When it makes sense, integrate RiskPulse into the pipeline to track changes on an ongoing basis.
Adopt self-hosted if needed
In regulated or restricted environments, operate within the organization's infrastructure and policies.
You do not need to start big. You need to start with the right APIs.
Bring your critical endpoints. RiskPulse assesses high and critical risks, delivers reproducible evidence, and helps your organization decide the next step based on facts.
For point-in-time executions, if no high or critical risks are found within the agreed scope, the customer does not pay for that execution.