Keep your AI rollout within approved intent.
Know what agents can do across your connected environment, resolve consequential authority gaps before rollout, and keep control as their reach and behavior change.
Know the connected agent surface before rollout.
Know how an agent, its identity, tools, permissions, and connected workflows combine into production authority—even when the path crosses platform and cloud boundaries.
Understand Microsoft agent authority
See how connected Microsoft Foundry and Entra evidence links agent purpose with service principals, managed identities, permissions, and OAuth grants.
Understand AWS reach
Know how connected workload identities, IAM roles, trust relationships, and available runtime activity expose production resources.
See cross-system reach
Trace authority into connected workflow, SaaS, data, and proprietary systems. Confirm the integration and evidence scope for your environment.
Know what is ready for production.
See which agents and agentic workflows can reach consequential actions, whether that authority matches the owner-approved scope, and what must change before rollout.
Know the agent surface
Find agents, configured authority, and observed execution across connected identity, cloud, AI, workflow, and application systems.
Find consequential drift
Identify authority or behavior beyond approved purpose. Where intent is missing, ask the accountable owner to confirm it.
Correct with approval
Model the correction, preserve approved work, and initiate the human-approved work through customer workflows.
Keep authority governed
Re-evaluate the decision as authority, observed behavior, ownership, or approved purpose changes.
Catch what blocks production readiness.
Find the conditions that turn a routine rollout into an access, operational, or governance problem.
Find missing ownership
An active agent or non-human identity no longer has a valid business or technical owner.
Identify excess authority
Roles, grants, or downstream access exceed the job approved for production.
Review cross-system reach
Individually allowed steps combine into a consequential action that was never reviewed end to end.
Catch drift after approval
Observed activity, configured reach, or ownership changed after the last approval.
Decide which authority needs control before rollout.
Compare authority, execution, ownership, and owner-approved scope. Return the recommended action, the reason, and the expected impact.
Example rollout decision · Modeled impact
Remove the unintended trust relationship before rollout.
Give each team an answer it can use.
Replace disconnected findings with prioritized agent access decisions that security, identity, cloud, AI platform, workflow, and application teams can execute together.
Know the surface in scope
Agents and workflows visible in connected evidence, with configured authority, observed behavior, ownership, approved purpose, and cross-system paths.
Prioritize the control decisions
Approve, Constrain, Reject, or Unknown, with the reason, accountable owner, lowest-impact supported correction, and expected change impact.
Preserve legitimate work
See what should stop, what should keep working, and what may remain before access changes.
Act through your systems
Initiate approved work through customer workflows and route the decision into existing security and operations processes.
Keep policy and approval in your control.
Keep your policy and approval rules in control. Initiate approved work through customer workflows for your authorized teams to apply, then reassess as authority, observed behavior, ownership, or approved purpose changes.
See access-change impact modeling →Validate rollout readiness.
Start with a bounded, read-only connection to the relevant environment. Evaluate every agent and workflow visible across that environment, get prioritized decisions, and prove value before a broader rollout. No per-agent instrumentation.