AI / Automation Approval

Know what your AI-connected automations can access — before they scale.

Automations connected to AI services and external endpoints are already running in production. The question isn't whether to adopt — it's whether you have evidence of what they can reach, where permissions have drifted, and what needs to change.

Start 30-Day Evaluation

Standard identity governance wasn't built for this.

No human principal. No traditional access request. No lifecycle tied to an employee.

External reach — to LLM endpoints, AI services, third-party APIs — was often never part of the original security review.

What the platform surfaces

Which automations can send data to external services or AI and LLM endpoints
The identities behind those workflows — and whether anyone is accountable for them
Where access has drifted beyond the original scope
Where data with specific sensitivity classifications is reachable by the automation path
Securityv0 remediation findings for AI automation approval workflows

Already applies to what you're running today.

  • → Existing workflows extended to reach AI endpoints
  • → Service accounts whose scope has grown over time
  • → Automations whose owners have departed

Validate automation and AI workflows before production deployment with evidence-based security review.

Findings your team can act on immediately.

Prioritized by real impact

Every finding tied to a specific automation, identity, and execution path — with the evidence to prove it

Remediation guidance included

Structural actions that reduce exposure without disrupting running processes

Workflow-ready format

Structured for direct handoff into ServiceNow, JIRA, or your existing remediation process

Executive-ready evidence

One-line business risk statements. Audit-grade documentation for leadership and compliance

This is relevant if…

  • You are deploying AI-connected automation (Azure AI, Foundry, OpenAI, Copilot) and need to validate the access scope before production
  • Existing automations now reach LLM or AI endpoints that were not part of their original design
  • You need evidence of which automation paths have external egress before an audit or review

Validate your automation and AI workflow exposure.

Know what your AI-connected automations can access — before they scale.

Start 30-Day Evaluation