Context is an input.
Inventory, architecture, expected behavior, and permitted scope give an investigation its boundaries. The agent should know what it is examining and why.
An agent should do more than produce a confident answer. We’re designing a working loop that gathers context, investigates a question, and brings back evidence your team can evaluate.
A conceptual working loop. Select a stage to focus the 3D diagram.
Inventory, architecture, expected behavior, and permitted scope give an investigation its boundaries. The agent should know what it is examining and why.
A finding should make its basis visible: relevant paths, observations, sources, and uncertainty. Confidence without a traceable basis is not the goal.
Your team evaluates recommendations and controls consequential changes. The working model is investigation with review, rather than unchecked execution.
Define the targets, data, and actions an agent may work with. Permissions should be understandable before an investigation begins.
Make it possible to follow how a finding was reached and where more verification is needed.
Bring the next step into the tools and workflows a team already uses. Specific integrations are still being developed.
Application behavior, source code, dependencies, and compliance evidence need different methods. Each planned product has a focused role inside the same context–investigation–review loop.
Explore the agentsThe intended workflow keeps the decision visible at each handoff. Implementation details remain in development.
Read the selected inputs and identify relevant paths.
Choose the scope and grant suitable access.
Follow evidence, check assumptions, and surface uncertainty.
Evaluate the basis of the finding.
Explain a focused fix, upgrade, or follow-up.
Approve consequential changes and validate the result.
Tell us what your team needs. Help shape what comes next.