See what your agents do.

Securityv0 shows which agent and automation risks matter, why they matter, and what operators should fix next.

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Securityv0 dashboard showing AI agent access overview

Your tools show configured access. Not what actually ran.

ServiceNow manages the workflow. Entra manages the identity. Azure manages the application. Each system appears correct on its own.

None of them show what happens when those systems interact during execution — what actually ran, what changed, what it touched, and what needs action.

The risk is not in any single system. It appears when systems interact during execution.

Three patterns hiding in every environment.

Structural exposure across agents, automations, and non-human identities — recurring, systemic, and invisible to existing tools.

AI agents without accountable ownership

AI agents and the identities behind them remain active in production without a valid owner. No one is accountable for what they can do now.

Identities with more reach than approved

Permissions, roles, or downstream reach have expanded beyond original intent. The agent still runs with more authority than the business approved.

AI agents that reach external systems or sensitive data

Agents can reach external services, AI endpoints, or sensitive internal systems without that path having been reviewed or controlled.

Every pattern is structural, evidence-based, and tied to a specific execution path — not an inferred risk score.

Securityv0 showing AI agent access paths and exposure details

See what your existing tools miss

What AI agents actually executed

Which identities they run under

What systems and data they can reach

Where ownership is stale or permissions drifted

What to fix before approving AI in production

Findings your team can act on the same day.

Not alert noise. Not a posture score. Evidence-based findings with remediation guidance your team can act on immediately.

Prioritized findings with evidence

Every finding is tied to a specific workflow and identity — with the full path, scope change, and business risk in one view.

Remediation guidance

Structural actions that reduce exposure without disrupting running processes. Not just what's wrong — what to change.

Tied to business outcomes

Executive-ready risk statements. Audit evidence. Prioritized by real operational impact — not alert volume.

Built for your stack.

Built for these moments.

AI rollout is moving into production and you need evidence before approval

No one can show which identities your AI agents run under today

Agent permissions have drifted beyond original scope and no one has re-scoped them

AI agents can reach external services or sensitive systems and that path has never been reviewed

An audit or executive review is coming and you need hard evidence of what agents touched

Securityv0 scope drift detection across AI agent identities

Approve AI in production with evidence.

Read-only. Metadata-only. No content inspection. 100% deterministic findings. First findings in hours.

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