Atomic Zero AI SOC Transformation
Score the SOC you have.Design the SOC you need.
Measure operational maturity, telemetry readiness, AI governance, and where automation can return analyst capacity without removing human judgment from the decisions that matter.
Readiness
42/100
Operations
40/100
Telemetry
50/100
Governance
35/100
Transformation model
Decide where humans lead, where AI assists, and where autonomy is justified.
The scorecard uses four operating modes. The objective is not maximum automation. It is the right operating boundary for each security activity.
01
Human Led
Major incident command, business risk, executive communication, legal and regulatory decisions.
02
AI Assisted
Research, summaries, query generation, threat intelligence, and investigation recommendations.
03
AI Executed
AI performs repeatable investigation work, while a human validates or approves the outcome.
04
Autonomous
Pre-approved actions execute within defined permissions, audit controls, and response boundaries.
Interactive assessment
Build your AI SOC readiness profile.
Score what exists today. The result shows the strongest transformation path and where Atomic Zero should validate the environment in a deeper assessment.
01 · SOC operations
Alert triage maturity
How consistently are alerts prioritized and deduplicated today?
Investigation maturity
How structured and repeatable is analyst investigation across tools?
Threat hunting maturity
How often does the team conduct proactive hunts beyond alert response?
Incident response maturity
How defined are escalation, scoping, containment, and recovery workflows?
Detection engineering maturity
How mature are rule creation, tuning, testing, and coverage management?
Case management maturity
How consistent are documentation, evidence tracking, and closure?
02 · Telemetry and integration
SIEM data availability
Can investigators reliably access the telemetry needed for analysis?
EDR visibility
Is endpoint evidence available and searchable across the estate?
Identity telemetry
Can identity, authentication, and privilege activity be investigated quickly?
Email security visibility
Can analysts correlate sender, recipient, click, and message activity?
Cloud telemetry
Can the SOC investigate cloud control-plane and workload activity?
API and integration readiness
Can AI securely query the tools that hold investigation evidence?
03 · AI governance
AI permission model
Are least-privilege permissions defined for AI access?
Human approval model
Are human review requirements explicit for AI-generated actions?
Auditability
Can the organization trace AI evidence, decisions, and actions?
Autonomous response boundaries
Are actions that AI may execute without approval clearly defined?
04 · Workload profile
Alerts per month
Use the average number of alerts entering analyst queues each month.
Minutes per investigation
Estimate average hands-on analyst time for a typical investigation.
Repetitive analyst work
Estimate how much analyst effort follows known, repeatable investigation steps.
Atomic Zero readout
AI-Assisted SOC
Readiness
42
Automation potential
1%
Primary gap
AI governance
Capacity recovery
67 hrs/mo
The foundation exists for analyst assistance. Focus on investigation summaries, evidence gathering, query generation, and repeatable enrichment before expanding autonomy.
Lowest readiness domain: AI governance, 35/100.
SOC automation heatmap
A starting point for workshop discussion.
Every organization will set different boundaries. Use this as a working model for deciding where AI should assist, execute, or remain behind human approval.
SOC activity
Target mode
Alert intake
A3Alert prioritization
A2Threat enrichment
A3SIEM investigation
A2EDR investigation
A2Identity investigation
A2Email investigation
A2Cloud investigation
A2Timeline reconstruction
A3Blast radius analysis
A2Incident summarization
A3Threat hunting
A1/A2Detection engineering
A1Case documentation
A3Containment
A2Executive communication
H30 / 60 / 90
Turn the score into a transformation sequence.
Atomic Zero uses the workshop score to frame a deeper environment-specific assessment across people, process, technology, telemetry, architecture, and governance.
0 to 30 days
Assess
Map investigation workflows, quantify analyst time, inventory integrations, validate telemetry, and define AI permissions.
30 to 60 days
Augment
Pilot repeatable AI-led investigations with human validation. Establish baseline metrics for time, consistency, and backlog.
60 to 90 days
Transform
Expand integrations, introduce controlled response actions, and shift recovered analyst capacity into hunting, detection engineering, and major incidents.
“The workshop gives you a directional score. The Atomic Zero assessment turns that score into an operating model, architecture, governance boundary, and implementation plan.”
Why now
Alert volume and tool sprawl continue to consume analyst time that could be spent on higher-value security work.
What changes
AI becomes an investigation layer between telemetry and human decision-making.
What to prove
Time recovered, investigation consistency, backlog reduction, and increased proactive hunting capacity.
The ask
Validate the score against the real environment before committing to a transformation sequence.
Scores and capacity estimates are illustrative planning outputs. Actual results depend on alert quality, telemetry coverage, investigation complexity, integrations, operating practices, and response controls.
Let's make your AI secure, smart, and accountable.
Book a 30-minute executive briefing. We'll pressure-test where AI and security intersect in your business, then point at the wins that are both fastest and safest to take first.
No pitch deck marathon. One focused conversation with the people who'd do the work.
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