No single operating picture
Your SOC sees fragments: one decision in CrowdStrike, another in Okta, another in Splunk. Leadership gets a story only after analysts stitch it together manually.
Private beta for enterprise security teams
Govern every AI agent action before it becomes an incident.
Overis gives CISOs one control plane to see autonomous security actions, require human approval for high-risk decisions, and produce a complete audit trail when the board asks what happened.
Built for 500-5000 employee enterprises Works above CrowdStrike, Okta, Splunk, Palo Alto
CrowdStrike
Okta
Splunk
OVERIS Policy Decision Layer
Approval queue 2 actions waiting
92% of security leaders cite autonomous AI as an emerging risk
86% need governance before expanding AI agent use
21% have visibility into what AI agents are doing
$8B+ projected AI agent governance market by 2030
The exposure
Your security stack can now act faster than your governance model.
Security vendors are embedding agents that can isolate endpoints, suspend accounts, change policies, and query sensitive telemetry. Each one moves inside its own product boundary. Overis gives leaders the shared control layer those tools were never designed to provide.
No approval gate for high-impact actions
The same decisions that used to require a senior analyst can now happen automatically. Endpoint isolation, account suspension, and network changes need a human checkpoint.
No audit trail executives can trust
When an agent causes an outage or blocks the wrong user, teams need more than screenshots. They need a consolidated record of what happened, why, and who approved it.
The Overis layer
A governance plane for every AI security decision.
Overis does not replace your security tools. It sits above them, normalizes agent activity, applies your governance policies, and captures a board-ready audit record across vendors.
CrowdStrike Okta Splunk Palo Alto
OVERIS Unified AI Agent Governance
Observe Govern Audit
Real-time visibility
See every agent action in one feed, enriched with source, business impact, affected assets, and the reason the action was proposed.
Policy-based control
Define which actions are allowed, blocked, or routed to a human approval queue based on impact, identity, asset criticality, and vendor.
Defensible accountability
Create a complete evidence package for incident review, compliance, and board reporting without forcing analysts to rebuild the timeline by hand.
Platform preview
Built for the way security leaders make high-stakes decisions.
The interface is designed around the questions a SOC Director, VP Security, or CISO needs answered immediately: what is the agent trying to do, what is the blast radius, and who needs to approve it?
CrowdStrike · Charlotte AI Critical 97
Isolate domain controller DC01.corp.local
Predicted impact: Active Directory unavailable for approximately 8,000 users. Existing policy requires human approval.
09:13:51 Okta · Identity AI Revoke service account sessions Pending review
09:13:22 Palo Alto · Cortex AI Block outbound HTTPS at edge Approved
Why now
The agent adoption curve is moving faster than security governance.
The window to establish oversight is before autonomous actions become ordinary operating procedure. Overis gives security leaders a practical way to govern now, without waiting for every vendor to solve the cross-platform problem.
Agents are already in production
Security platforms are shipping autonomous response, identity, and investigation workflows. The governance gap is not theoretical anymore.
Regulation expects human oversight
AI risk frameworks increasingly expect organizations to prove that high-impact decisions are supervised, traceable, and accountable.
Executives own the outcome
When an autonomous action disrupts the business, leaders need evidence. "The agent decided" will not satisfy the board or auditors.
Control becomes the category
The companies that define governance early become the trusted standard for how enterprise AI agents are allowed to operate.
"
We still manually correlate logs across vendors. There is no single place to see what our AI agents are doing or prove why they acted.
Security Operations Lead, Fortune 500 financial institutionEnterprise-ready signal
Designed for the conversations security leaders already have.
Board visibility
Turn agent activity into a clean executive narrative: what happened, what was prevented, and what needs attention.
Compliance readiness
Map AI oversight expectations to concrete approvals, policy decisions, and immutable evidence packages.
SOC efficiency
Reduce dashboard hopping and manual correlation so analysts spend more time deciding and less time reconstructing.
Private beta
Be first to govern your security agents.
We are working with a select group of security teams to shape the governance layer for autonomous AI in enterprise security.