Independent AI Architecture + Governance Advisory
AI Isn't the Breakthrough.The System Behind It Is.
We design AI operating models that give SOC teams the clarity to act.
The Problem
Decision-making gaps stall SOC AI in production
Modern SOC platforms were built for detection and investigation — not for how AI actually operates.
As AI is introduced into the SOC, common gaps appear — not in capability, but in how decisions are made.
No Path to Production
AI initiatives start — but struggle to become operational.
Unclear Buy vs. Build
Teams evaluate tools — but cannot define what they actually need.
Fear of Autonomy
Even when AI proves capable, it is not trusted to act.
Foundation Layer
AI Cannot Reason on Raw Security Data
To address these gaps, organizations must start with the data foundation.
AI cannot operate on raw telemetry or disconnected data.
It requires structured intelligence — data that is enriched, correlated, and prepared for reasoning.
This is where the system begins.
Before models.
Before automation.
Before decisions.
If intelligence is not structured here,
everything downstream breaks.
Why Structured Data Is the Key to AI in Your SOC
The Solution
AI Operating Model
Data structure is not the same as operational readiness.
Closing the Decision Gap requires an operating model that defines how AI operates — and architecture that enforces it.
Define The Model
AI cannot operate without a system.
This is where it is defined.
Structured Intelligence
AI cannot reason on raw, fragmented data. Intelligence must be structured, contextual, and reliable.
AI cannot reason on raw, fragmented data. Intelligence must be structured, contextual, and reliable.
Control
Decision Control
AI does not decide freely. Decisions must be governed — when it acts, when humans intervene, and how outcomes are controlled.
AI does not decide freely. Decisions must be governed — when it acts, when humans intervene, and how outcomes are controlled.
Operational Accountability
AI must be accountable. Every action must be measurable, auditable, and continuously improved.
AI must be accountable. Every action must be measurable, auditable, and continuously improved.
Once the model is defined,
it must be enforced.
Implement the Model
Where governance becomes system behavior — not policy.
AI Operating Architecture
Where governance becomes enforcement.
Decisions are made on verifiable context. Not noise.
Rules are enforced directly in the pipeline — not applied after the fact.
Human authority, escalation paths, and intervention are enforced at the architectural level.
Every action is tracked, evaluated, and fed back to improve system performance.
The Engagement Model
From SOC Automation to an AI-Ready SOC
Latus helps security teams accelerate the journey from task automation to a fully governed AI-ready SOC — one decision loop at a time.
First production capability in 90 days
Governance built in from day one
- AI pilots that never reach production
- No clear governance or decision framework
- Manual triage overwhelming your analysts
Capabilities You'll Own
Prioritize Automation Opportunities
Score and rank every AI use case by impact, feasibility, and risk — before committing resources
Run a Governed AI Proof of Concept
Demonstrate real value with your data, within a governance framework, without board-level risk
Map Decision Friction Across Your SOC
Identify exactly where your three core decision loops break down and why
Define AI Policy Boundaries
Establish the guardrails and governance posture your organization needs before anything scales
Decision Clarity
From Decision Gap
to Decision Clarity
When the Decision Gap closes, AI operates with authority. Actions are governed. Decisions are traceable. Production becomes the expectation — not the exception.
Clarity on Where AI Applies
The right use cases become obvious — no more guessing where AI will deliver value.
Clarity on How to Engage
A defined operating model makes the right solution clear — build, buy, or partner.
Clarity on What AI Can Do
What AI can do is enforced, not assumed — at every stage of your autonomy journey.
Enabled by: Common Decision Language · Operational Ownership · Controlled Autonomy · Defensible Governance
This is what a governed AI operation looks like.
Not theoretical. Operational.
Schedule an AI Readiness AssessmentNext Step
Start Building
Your AI-Ready
SOC
Every organization starts from a different place. Our assessment identifies where automation creates immediate operational impact and defines the architecture required to scale toward AI-assisted security operations.
Assessment Outcomes
- Immediate automation opportunities
- Architecture required for scale
- Roadmap to AI-assisted SOC operations
No commitment. 48-hour response.