Modular platform
A modular preemptive resilience platform.
Three modules for three surfaces that change all the time: APIs, applications, and AI agents. Each one starts from the scope you authorize and shows what needs attention before an incident.
Start with the module that best represents your risk surface. Evolve according to maturity, criticality, and governance.
What do you want to assess?
Explore R/Pulse modules
All three modules start from the scope you authorize and deliver evidence to decide what to address first. What changes is the surface under investigation.
API Resilience Core (ARC)
ARC tracks changes in your APIs and points validations at what changed. Each risk comes with reproducible evidence, and a new evaluation checks the fix.
- When to use
- Critical APIs that change often and support customers, transactions, partners, or regulated operations.
- Context used
- The API specification, changes in endpoints and contracts, business rules, and the requirements that regulate the operation.
- Evidence generated
- Observed behavior, reproducible evidence, treatment priority, and the result of the new evaluation.
Autonomous Adaptive Security Agent (AASA)
AASA expands your security team's capacity to investigate applications more often. Relevant changes are investigated without waiting for the next scheduled pentest.
- When to use
- Applications that change between pentests, when the security team can't assess as often as needed.
- Context used
- The application, objectives, access, and limits your team defines, in assisted or autonomous mode.
- Evidence generated
- Prioritized risks, evidence of the observed behavior, instructions for AI-assisted fixes, and reassessment after treatment.
Agent Resilience & Observability (ARO)
ARO runs simulations to investigate how each agent responds and acts off the expected path. That way, you know what to review before expanding the agent's autonomy.
- When to use
- AI agents that use data, tools, and integrations, before you expand their autonomy or reach.
- Context used
- The agent, the resources available to it, and the focus of the evaluation, defined by your organization in a controlled environment.
- Evidence generated
- The interaction that led to the finding, the agent's response, and the risk analysis, with related findings grouped.
API Resilience Core (ARC)
ARC tracks changes in your APIs and points validations at what changed. Each risk comes with reproducible evidence, and a new evaluation checks the fix.
- When to use
- Critical APIs that change often and support customers, transactions, partners, or regulated operations.
- Context used
- The API specification, changes in endpoints and contracts, business rules, and the requirements that regulate the operation.
- Evidence generated
- Observed behavior, reproducible evidence, treatment priority, and the result of the new evaluation.
Autonomous Adaptive Security Agent (AASA)
AASA expands your security team's capacity to investigate applications more often. Relevant changes are investigated without waiting for the next scheduled pentest.
- When to use
- Applications that change between pentests, when the security team can't assess as often as needed.
- Context used
- The application, objectives, access, and limits your team defines, in assisted or autonomous mode.
- Evidence generated
- Prioritized risks, evidence of the observed behavior, instructions for AI-assisted fixes, and reassessment after treatment.
Agent Resilience & Observability (ARO)
ARO runs simulations to investigate how each agent responds and acts off the expected path. That way, you know what to review before expanding the agent's autonomy.
- When to use
- AI agents that use data, tools, and integrations, before you expand their autonomy or reach.
- Context used
- The agent, the resources available to it, and the focus of the evaluation, defined by your organization in a controlled environment.
- Evidence generated
- The interaction that led to the finding, the agent's response, and the risk analysis, with related findings grouped.
Quick comparison
| Module | Surface | Best for | Main evidence |
|---|---|---|---|
| API Resilience Core (ARC) | Public, internal, partner, and regulated APIs | Validating each change before it reaches operations | Reproducible behavior and fix verification |
| Autonomous Adaptive Security Agent (AASA) | Web applications and APIs in authorized scope | Offensive investigation between pentests | Prioritized risks and reassessment after treatment |
| Agent Resilience & Observability (ARO) | AI agents | Deciding how much autonomy each agent can take on | Grouped findings, with the interaction and risk analysis |
All modules can start point-in-time and grow with your maturity.
Each module can be adopted point-in-time, continuously, or self-hosted. The choice depends on your organization's maturity, the criticality of the surface, and governance requirements.
Point-in-time execution
Ideal for quickly assessing a critical surface, generating evidence, and building a business case.
Continuous operation
Ideal for tracking frequent changes and turning resilience into routine.
Self-hosted / Enterprise
Ideal for regulated or restricted environments requiring control over infrastructure, data, and AI key.