Autonomous security: production data from Autonomous SOCs
Automation speeds up work. It does not remove the decision burden. Autonomous security does.
These aren't isolated improvements
They're structural effects of a different execution model.
instead of 6 minutes
executed without human intervention
per day from investigation and triage
return on autonomous SOC operations
CISOs
Risk posture becomes predictable. Response speed stops depending on shift schedules and approval chains.
CFOs
Security costs flatten. Volume no longer drives headcount.
SOC Directors
Team focuses on strategy. The system handles volume. Analyst burnout drops.
The four outcomes of
switching to Sirp
Response speed becomes structural
New productTo be clear: 6-minute MTTR is excellent. These were mature SOCs with optimized workflows. The 18× improvement came from removing the execution queue entirely.
With Sirp, decision and execution happen in the same step. Containment windows for ransomware and lateral movement are measured in minutes. When your MTTR is 20 seconds, you're inside the window.
Real deployments
11 analysts, approval gates, 4–6 hour case age
2 analysts (oversight), <30 second case age, <5% human review
7× cost reduction, zero audit findings, more thorough compliance documentation
"Audit trail improved. Automated logging is more complete than manual documentation."
Tiered L1→L2→L3 escalation model
System-first resolution, single oversight team
92% autonomous actions, zero routine escalations, team stayed intact
"We ran parallel for 30 days. The autonomous system caught 3 incidents the human team missed due to the queue backlog. That ended the debate."
Why these metrics move
together
This isn't five separate improvements. It's one architectural change.
Traditional SOC
Decisions happen in meetings and tickets. Execution waits for humans. Speed is limited by availability. Cost scales with volume.
Autonomous SOC
Decisions happen in-system. Execution happens at decision time. Speed is limited by compute. Cost is decoupled from volume.
The key difference: decision placement
Workflow automation makes humans faster. Autonomous execution removes humans from the execution path entirely. That's why the outcomes cascade.
What the system doesn't handle
The system escalates when:
- Confidence falls below policy threshold
- Attack pattern is novel or outside training data
- Context requires business knowledge
- Multiple conflicting signals with ambiguous risk
Escalation rate: 5–10% of investigations
False positive rate: <2%
Humans handle ambiguity and strategy. The system handles volume and routine execution.
How we measured this:
3 enterprise SOCs
Fintech, SaaS, and healthcare.
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
What this means for your SOC
If your SOC depends on human availability, tickets, and shift coverage, your performance is capped by how fast analysts work and how many you can hire.
When decisions are policy-bound and system-executed, response speed becomes predictable, cost becomes flat, quality becomes consistent, and scale becomes an infrastructure question.
The operating model changes. The outcomes follow.
Autonomous security isn't theoretical.
The question isn't whether autonomous SOCs work. The question is whether your current model can keep up.