AI-native security operations

Stop burning analyst hours on command-line triage.

GenOS classifies suspicious commands, maps ATT&CK techniques, and shows the labour cost avoided across every investigation.

NVIDIA Inception
Microsoft Partner
Pilot ROI validated
SOC + MSSP
genos — investigation feed LIVE
[encoded PowerShell payload — obfuscated script execution] MALICIOUS
T1027 T1059.001 Obfuscated Files
96%
[remote resource fetch piped to shell interpreter] MALICIOUS
T1105 T1059.004 Download & Execute
99%
[privilege & group enumeration query] CONTEXT DEP.
T1069 Privilege Discovery
61%
capacity return · 1,000 investigations
150 hrs
analyst time returned
$11K
labour avoided
~1.0×
analyst capacity gained

The hidden SOC tax

Every unclear command creates investigation drag.

Analysts spend the majority of their time on command classification that a model can do in milliseconds. That decision cost compounds across every shift, every team, every month.

Triage labour per case
~9 min
Recoverable with GenOS
150 hrs/mo
Labour cost avoided
$11K/mo
Rising investigation volume

Alert volume scales with attack surface. Analyst headcount doesn't. The result is a widening gap between capacity and demand.

$
Expensive decision labour

Each manual triage decision costs loaded analyst time. At scale, that becomes the largest hidden operational expense in the SOC.

Headcount pressure without ROI

Teams default to hiring when throughput drops. GenOS returns analyst leverage before the next headcount request reaches finance.

What changes

Measurable outcomes across every investigation.

Four metrics that move when GenOS is deployed in an active SOC or MSSP environment.

$
cost/case
Lower decision labour

Automated command classification eliminates the bulk of per-case triage time, reducing cost per investigation week-over-week.

9min saved
Faster decision cycles

Structured behaviour analysis and ATT&CK mapping returned in under a second. Analysts decide faster with better evidence.

150hrs/mo
Analyst capacity returned

Per 1,000 investigations. Capacity returned without adding headcount, tooling contracts, or retraining cycles.

per case
Consistent triage quality

Every investigation processed with the same classification logic. No analyst fatigue, no shift variance, no missed patterns.

ROI Model

A model your CFO can validate in five minutes.

Adjust to your team's actual numbers. The output is the conversation starter for your next budget review.

1,200 cases/mo
$75 /hr
9 min / case
Hours returned / month
150
Analyst hours recovered without headcount change.
Labour avoided / month
$11,250
Direct cost avoidance at current analyst rate.
Annualised savings
$135,000
Projected annual labour cost avoided at this volume.
Headcount equivalent
~0.9 analyst
Capacity returned expressed as full-time analyst equivalents.

Want to validate these numbers against your actual investigation log? We run a 2-week pilot against 1,200 investigations and report exact capacity returned.

Book ROI Pilot →

Operating model

Built for two buyer profiles.

Different pressure points, same economic outcome: more analyst leverage per dollar spent.

For CISOs

Reduce SOC cost without reducing coverage.

Investigation drag silently inflates your operating cost per case. GenOS removes the repetitive classification layer, returning analyst capacity to the work that requires human judgment.

Cost per investigation tracked and reduced
Capacity gain without headcount requests
ROI visible in the first pilot sprint
ATT&CK coverage mapped per case automatically
Calculate your SOC saving →
For MSSPs

Every minute saved improves delivery margin.

Triage labour is your largest variable cost. GenOS compresses the time-per-investigation, letting you serve more clients at the same staffing level — or improve margin on existing contracts.

Lower cost per client investigation
Scale client volume without headcount growth
Consistent triage quality across all clients
API-first integration into existing SOAR workflows
Book free pilot →

Trust & partnerships

Built for enterprise-grade security operations.

N
NVIDIA Inception
GPU-accelerated inference stack, production-grade throughput at investigation scale.
M
Microsoft Partner
Azure infrastructure, M365 Defender integration, enterprise deployment playbooks.
R
Research-validated models
Classification trained on real command telemetry. Not a generic LLM wrapper.
P
Pilot ROI validation
Every deployment starts with a 2-week pilot that reports exact capacity returned against your own data.
S
SOC + MSSP native
Designed for enterprise SOC teams and MSSP delivery workflows. API-first, SOAR-compatible.

Get started

Measure your SOC capacity
gain in one pilot.

Two weeks. Your investigation data. A concrete ROI number to take to your next budget review.