Assess and observe AI agent resilience before autonomy scales.
R/Pulse helps AI, product, engineering, and security teams observe behavior, assess risks, and generate resilience evidence across AI agents, tools, connectors, APIs, and digital journeys.
Agents don't live in isolation. They act through critical interfaces.
AI agents execute tasks using tools, connectors, APIs, permissions, data, and internal systems. The more autonomy they receive, the greater the need to observe behavior, understand context, and assess risks before autonomy scales. The challenge is not just knowing what the agent responded. It is understanding what it tried to do, which interfaces it triggered, which paths it took, and what risks emerge when decisions, tools, permissions, and integrations combine.
Observability needs context.
Autonomy expands the action surface.
Changes need to be re-evaluated.
Observability reveals behavior. R/Pulse connects signals, context, and risk.
| Dimension | What it helps surface | How R/Pulse amplifies that value |
|---|---|---|
| Agent observability | Prompts, responses, traces, tool usage, events, costs, latency, and failures. | Connects those signals to risk context, expected behavior, critical actions, and re-evaluation. |
| Behavior assessment | Response quality, instruction adherence, tool usage, and observed decisions. | Helps turn interactions and actions into practical resilience evidence. |
| Security and governance | Limits, permissions, policies, sensitive data, connectors, and responsibilities. | Relates controls and authorized context to real agent behavior. |
| APIs and integrations | Interfaces used by the agent to query, modify, or trigger systems. | Assesses risks in the surfaces that allow the agent to act in the environment. |
What it helps surface
Prompts, responses, traces, tool usage, events, costs, latency, and failures.
How R/Pulse amplifies that value
Connects those signals to risk context, expected behavior, critical actions, and re-evaluation.
What it helps surface
Response quality, instruction adherence, tool usage, and observed decisions.
How R/Pulse amplifies that value
Helps turn interactions and actions into practical resilience evidence.
What it helps surface
Limits, permissions, policies, sensitive data, connectors, and responsibilities.
How R/Pulse amplifies that value
Relates controls and authorized context to real agent behavior.
What it helps surface
Interfaces used by the agent to query, modify, or trigger systems.
How R/Pulse amplifies that value
Assesses risks in the surfaces that allow the agent to act in the environment.
Where R/Pulse fits in
R/Pulse uses observability, authorized context, and risk-oriented assessment to generate resilience evidence across agents, tools, connectors, and APIs — helping teams understand behavior, prioritize adjustments, and re-evaluate changes before autonomy scales.
What AI and Agentic Resilience teams gain with R/Pulse
Evidence of behavior in context
Assessment of how agents behave when using tools, connectors, APIs, permissions, and data in relevant scenarios.
Risks prioritized by critical action
Findings organized by severity, potential impact, triggered interface, affected flow, and business context.
Observability oriented to resilience
Signals, traces, and events organized to support risk analysis, decision-making, and change tracking.
Re-evaluation after changes
After changes to prompts, models, tools, permissions, or integrations, R/Pulse can reassess the agent and its interfaces to support verification that the risk was addressed or reduced.
From autonomy to evidence
Define the agent or critical flow
Choose agents, tools, connectors, APIs, journeys, or actions relevant to the business, security, and operations.
Observe behavior in context
Track signals, traces, responses, tool usage, decisions, and relevant events within the authorized scope.
Assess risks and resilience
R/Pulse connects observed behavior, authorized context, permissions, integrations, and potential impact to generate actionable evidence.
Re-evaluate after changes
After changes to prompts, models, tools, permissions, connectors, or APIs, generate new evidence to support agentic 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. Observability is an essential part of the journey. R/Pulse amplifies that value by connecting signals, traces, tool usage, and observed behavior to the context of risk, resilience, and re-evaluation.
No. APIs are an important part of the action surface, but the assessment can consider agents, tools, connectors, digital journeys, permissions, and integrations, depending on the module and defined scope.
The assessment happens within authorized scope and agreed criteria. The usage model can be adjusted to meet the environment's security, governance, and control requirements.
Yes. After changes to prompts, models, tools, connectors, permissions, or APIs, R/Pulse can reassess behavior and support verification that risks were addressed or reduced.
Yes. The generated evidence can support different teams: security can prioritize risks, engineering can adjust integrations and behavior, and governance can track decisions, controls, and re-evaluations.
Agentic resilience starts before autonomy scales.
Assess an agent, flow, or critical surface, generate initial evidence, and decide the next step based on what the analysis reveals.