Keep critical technical surfaces resilient even when everything changes fast.
R/Pulse helps technology and engineering teams assess risks in APIs, integrations, digital journeys, and AI agents before technical changes generate exposure, rework, or operational impact.
Systems change. Teams ship. Risk evolves too.
APIs, integrations, automations, digital journeys, and AI agents change frequently. New endpoints, connectors, permissions, business rules, and dependencies enter the delivery cycle continuously. The faster the pace of change, the harder it is to maintain up-to-date evidence of resilience, exposure, and impact.
Technical surfaces change fast.
Teams deliver in multiple cycles.
Fixes need to be re-evaluated.
Tests validate. Observability detects. Scanners help. R/Pulse anticipates risks.
| Layer | Does well | Where it may fall short |
|---|---|---|
| Automated tests | Validate expected behaviors and help reduce regressions. | Typically cover expected scenarios, not necessarily exploitable risks or adverse behaviors. |
| Manual review | Helps analyze technical decisions, rules, and relevant changes. | Does not scale well across multiple teams, frequent releases, and many critical surfaces. |
| Traditional scanners | Help find known vulnerability classes. | May operate with limited context on contract, credentials, journey, state, and business risk. |
| Observability | Shows real execution signals, failures, latency, errors, and incidents. | Typically reveals signals when something is already happening or has already happened. |
Does well
Validate expected behaviors and help reduce regressions.
Where it may fall short
Typically cover expected scenarios, not necessarily exploitable risks or adverse behaviors.
Does well
Helps analyze technical decisions, rules, and relevant changes.
Where it may fall short
Does not scale well across multiple teams, frequent releases, and many critical surfaces.
Does well
Help find known vulnerability classes.
Where it may fall short
May operate with limited context on contract, credentials, journey, state, and business risk.
Does well
Shows real execution signals, failures, latency, errors, and incidents.
Where it may fall short
Typically reveals signals when something is already happening or has already happened.
Where R/Pulse fits in
R/Pulse complements these layers using authorized context to generate risk evidence before impact — helping engineering prioritize, remediate, and reassess critical surfaces with greater clarity.
What Engineering gains with R/Pulse
Prioritized risks
Findings organized by severity, potential impact, and relevance to the technical surface, flow, and business.
Reproducible evidence
Inputs used, observed responses, context, potential impact, and artifacts for technical reproduction.
Post-remediation re-evaluation
After a change is applied, R/Pulse can reassess the surface to support verification that the risk was addressed or reduced.
From change to evidence
Define the critical surface
Choose APIs, integrations, applications, journeys, or agents relevant to engineering, security, and the business.
Use authorized context
R/Pulse starts from the real context of the surface — which makes the analysis more precise and the findings more relevant to your environment.
Receive evidence for action
The analysis organizes risks, context, reproduction, potential impact, and inputs for remediation or prioritization.
Re-evaluate after changes
After fixes, releases, or relevant changes, generate new evidence to support technical decision-making and resilience evolution.
Trust for critical environments
Security and governance
Built for environments that demand security, governance, and control.
R/Pulse was designed for organizations that need to operate with security, governance, and reliable evidence. We bring together key controls for enterprise environments, with access, audit, encryption, and self-hosted deployment features.
- ISO 27001:2022 certified
- Self-hosted deployment available
See security and governance details
| ISO 27001:2022 | Certified |
| SSO | Available |
| Role-based access control | Available |
| Audit logs | Available |
| Encryption at rest and in transit | Always on |
| Self-hosted deployment | Available |
Frequently asked questions
No. Automated tests validate expected behaviors. R/Pulse complements that layer by assessing risks, adverse scenarios, and relevant behaviors across critical surfaces.
No. The assessment starts from authorized context about the surface — without needing access to source code or internal environments.
Yes. Post-remediation re-evaluation is an important part of using R/Pulse to support verification that the risk was addressed or reduced.
Yes. Adoption can start with a point-in-time assessment and evolve to recurring re-evaluations based on team maturity, criticality, and cadence.
Technical resilience starts before production impact.
Assess a critical surface, generate initial evidence, and decide the next step based on what the analysis reveals.
For point-in-time assessments with the API Resilience Core and Open Finance/Insurance Resilience modules, if no high or critical risks are found within the agreed scope, you do not pay for the execution.