CCS Architecture Solutions / Multi-cloud

Autonomous Cloud & Infrastructure Security Agent

Agentic security orchestration for detection, investigation, threat context and controlled remediation across Azure and AWS with human approval for high-risk actions.

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THE ARCHITECTURE, EXPLAINED

Accelerate investigation. Keep response accountable.

CCS / REFERENCE SERIES
Multi-cloud
Six responsibilities. One connected design.
GUIDED FLOW · 01 / 06

Security signals

Telemetry collectionSecurity findings

Surface configured threat findings and posture signals for triage.

Illustrated relationships, not a live system or a strict execution sequence. Select any step to explore.
LOGICAL SOLUTION BOUNDARYSelect a component to explore its role
Logical data or control flowSelected connections

Illustrative logical architecture. Arrows describe selected relationships, not every network connection. Product alternatives and deployment boundaries are confirmed during design.

THE EXECUTIVE PERSPECTIVE

Help analysts reach a defensible decision sooner.

A security leader needs investigation capacity and controlled response, especially when a small team covers multiple clouds. CCS can connect findings, asset context and approved response workflows while preserving human authority for consequential actions.

HOW THE DESIGN WORKS

Follow the logic.

Telemetry is normalized into security findings. Investigation assembles threat and asset context to propose a response. Remediation uses constrained permissions and defined approval gates. The audit layer records evidence, ownership and the result of every action.

Separate investigation permissions from remediation privileges.
THE RETURN ON THE INVESTMENT

Make value measurable.

Potential value · to be validated

Potential return is analyst capacity and more consistent response execution. Risk reduction should be assessed separately using an agreed loss model, not presented as guaranteed savings from incidents that did not happen.

01

Median time to triage a validated finding

Baseline → pilot → operational review

02

Analyst minutes per investigated case

Baseline → pilot → operational review

03

False-positive and rollback rates

Baseline → pilot → operational review

A PRACTICAL VALUE MODEL

Annual operational value = eligible investigations × analyst minutes saved ÷ 60 × loaded analyst cost.

Include telemetry ingestion, security licenses, model calls, investigation review and response engineering.

Recovered time represents capacity, not automatically cash savings. Count it as financial benefit only where finance agrees how that capacity will be used. No achieved client ROI is claimed for this reference architecture.

Model your first-year ROIUse your own estimates. See the calculation change.

Enter values in one currency. Gross benefit must reflect achievable adoption and timing. Include all first-year costs; do not count the same benefit twice. These figures stay on this page and are not submitted.

First-year net valueAdd your estimatesFirst-year ROINot yet calculated

ROI = (gross benefit − operating cost − implementation cost) ÷ (operating cost + implementation cost) × 100. Requires a positive total cost. An estimate, not a forecast or guaranteed return.

From reference to your reality

A design shaped around
your operating constraints.

Illustrative reference pattern, not a deployable design or a claim of a completed client implementation. CCS validates workload requirements, integrations, security controls, recovery paths and ownership before recommending a production design.

A decision worth making explicit

Separate investigation permissions from remediation privileges.

DESIGN, WITH A BASIS

The technical reading room.

Official guidance behind the design choices. These sources explain technology capabilities; they do not substantiate client returns.

Microsoft and AWS product icons are used to explain their respective technologies. Product names are trademarks of their owners. No partnership, certification or endorsement is implied.