0%
Resolved autonomously
Resolvedautonomously
Security outcomesProduction data from
Production data from
a governed loop.
Automation speeds up work. It doesn't remove the decision burden. A system where the Governor, not a ticket queue, decides when a case closes does.
Faster response.
Less routine work.
Resolvedautonomously
0%
Reduction in MTTD
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0%
Faster MTTR
Detection, response and resolution improve together when every action runs through the same governed loop.
- Analyst Hours Removed
- ~150 hrs
- per day from investigation and triage
- Security ROI
- ~7X
- return on autonomous SOC operations
- Escalation Rate
- 5–10%
- of investigations reach a human
- False Positive Rate
- <2%
- verified against analyst-confirmed incidents
These measures describe different outcomes. The escalation figure is a range; the false positive figure is an upper bound, not an exact rate.
Operating model
Operating model.
One governed loop changes how your SOC responds, scales, and spends.
Response speed becomes structural
The Autonomy Gate fires per action, before execution, not after a human picks up a ticket.
Seconds.
From policy check to execution. Decision and execution happen in the same step. Containment windows for ransomware and lateral movement are measured in minutes. When your gate-to-execution time is seconds, you're inside that window.
Volume stops scaling with headcount
The Executor runs whatever the Gate allows, without waiting on analyst availability.
~1,500
Investigations resolved autonomously / day. Alert volume can grow without a matching hiring plan, because nothing in the loop is rate-limited by a person's calendar.
Analyst work changes completely
The Decision Governor issues one of three verdicts per case: close it, escalate it, or send it back to the Planner with a delta.
<1 hour
Analyst time / day, down from 150 hours. Only the escalate verdict reaches a person, and Sara is what surfaces it with the reasoning attached, not a bare alert.
The cost curve flattens
Planner reasoning runs on compute, not on shift coverage.
~$100K
Annual cost, down from $800K–$1M. Cost tracks alert volume the way infrastructure cost tracks usage, not the way payroll tracks headcount.
Results in production SOCs.
The environment, the operating change, and the evidence behind it.
Global fintech SOC
- Before SIRP
- 11 analysts, approval gates, 4–6 hour case age
- With SIRP
- 2 analysts on oversight, under 30 second case age, under 5% human review
Results
7x cost reduction, zero audit findings, more thorough compliance documentation
The unexpected“Audit trail improved. Automated logging turned out more complete than manual documentation ever was.”
SaaS infrastructure company
- Before SIRP
- Tiered L1 to L2 to L3 escalation model
- With SIRP
- System-first resolution, single oversight team
Results
92% autonomous actions, zero routine escalations, team stayed intact
The moment“Running in parallel for 30 days, the autonomous system caught three incidents the human team missed to queue backlog. That ended the internal debate.”
How OmniSense governs each action.
Every action passes through policy. Every case ends with a verdict.
Planner
Reads the alert, the environment, and prior cases. Proposes every action. Approves none of them.
01Planner
Autonomy Gate
Checks each action before execution against your policy, then allows, holds for approval, or blocks.
02Autonomy Gate
Executor
Runs what the gate allows. Nothing reaches your environment without passing through it first.
03Executor
Decision Governor
Fires once, after the full run. Issues one of three verdicts: close the case, escalate to a human, a new plan.
04Decision Governor
When a case needs an analyst
Humans handle ambiguity and strategy. The system handles volume and routine execution.
- Confidence falls below policy threshold
- The attack pattern is novel or outside training data
- Context requires business knowledge the system doesn't have
- Multiple conflicting signals produce ambiguous risk
Measurement scope
Measurement scope and exclusions.
Production data, measured after stabilization. The boundaries matter as much as the results.
3 enterprise SOCs
Fintech, SaaS, and healthcare. The case studies above cover fintech and SaaS.
90-day window
90-day window post-stabilization (excludes tuning and pilots).
Millions of alerts
Millions of alerts across EDR, cloud, identity, SaaS, endpoint.
Full chain measured
Detection → triage → decision → containment
Excluded: Test incidents, training data, simulations, deployment phase, cases requiring human judgment
Governed autonomy
The SOC that drives itself.
Autonomous, governed security operations powered by OmniSense™.