Fortellar

Three clouds. Three consoles. Three pricelists. Three answers to the same security question.

Multi-Cloud Management is the operating layer above your providers. Unified posture, rationalized tooling, consistent evidence, and the handoff path from project to managed service. So the board, the auditor, and your engineering team all see the same security story.

Why This Matters

Multi-cloud isn't a strategy. It's a state of affairs your security operations haven't caught up to.

You ended up in multiple clouds for different reasons: an acquisition, a product line, a residency rule, a deliberate diversification. The reason rarely matters by the time the security team is staring at three native consoles, three sets of IAM, and three ways to answer the same question.

Running multi-cloud as silos costs you at three predictable moments: audit time, when one framework produces three evidence stories; incident time, when lateral movement leaves the SOC reconciling three log pipelines; and budget time, when per-cloud spend is twice a rationalized model. The work is bringing the three under one operating layer.

What three consoles cost you
01

Audit evidence

One framework reaching three environments produces three evidence stories.

02

Incident correlation

Cross-cloud lateral movement leaves the SOC reconciling three log pipelines.

03

IAM sprawl

Three identity models, three privilege paths, three answers to the same question.

04

Spend

Per-cloud security tooling costs multiples of one rationalized operating model.

Who this is for

Three situations where one cloud became more than one.

Situation 01

Acquisition added a different cloud

You ran on AWS. The acquired entity runs on Azure. The integration plan covers product and people. It does not cover how the security operating model spans both clouds, with one auditor watching.

The outcomeA single operating model across both providers, with the integration path written into the post-merger plan and the audit story aligned across environments.
Situation 02

Different products on different clouds

Product A built on AWS. Product B chose GCP for ML capacity. Product C runs in Azure because of an enterprise customer requirement. Three security stacks, three on-call rotations, three answers to every audit question.

The outcomeCommon controls across products, with provider-specific differences documented as decisions, and the SOC running one detection queue across all three.
Situation 03

Security tool spend has gotten out of hand

Three CSPMs, three SIEMs, two vulnerability scanners, vendor-native tooling running unused alongside third-party tools that do the same job. The finance team noticed first. The CISO inherited the cleanup.

The outcomeA rationalized security stack sized to the multi-cloud footprint, with overlapping spend retired and the saved budget redirected to detection coverage that was actually missing.
What's included

One consistent operating layer across every cloud you run.

A unified posture dashboard

Cross-cloud findings, drift, identity sprawl, and framework coverage rolled up into one view. The working groups and the executive team look at the same numbers.

A federated identity model

Federation against your IdP, a common role taxonomy across providers, machine-identity inventory, and break-glass paths the auditor can walk in one session.

A centralized evidence repository

Provider-specific evidence consolidated into one repository, mapped to SOC 2, HITRUST, HIPAA, PCI, NYDFS, or ISO controls. One audit story, sourced from three providers.

A rationalized security tooling map

A current-state tool inventory, a future-state stack sized to coverage requirements, and a retirement plan for the duplicate licenses. Saved spend reallocated to real gaps, not banked as savings.

Common detection rules and SOC integration

Detection logic written once, deployed across providers. The SOC operates one queue. Cross-cloud attack paths get caught at the second hop, not after the post-incident review.

A multi-cloud FinOps and SecOps view

Security spend by provider, by tool, by control coverage. Reviewed jointly by finance and security on a quarterly cadence. The next cost decision is informed, not reactive.

A multi-cloud governance charter

Who owns what across providers. Which decisions are made centrally, which are delegated to product teams, which are escalated to the GRC forum. Written, signed, and on the working-group agenda.

A handoff into Managed Security Services

The operating model we stand up converts to a managed service. Your team runs it, our team runs it, or a hybrid model fits the org. The control set, the evidence base, and the SOC queue stay the same on either side of the handoff.

How it works

Four phases. Scoped to the cloud footprint and the operating model, not to a standard engagement length.

Phase 01

Assess

Current state across all clouds. Inventory of accounts, identities, security tools, detection coverage, evidence sources, and spend. The gap and overlap mapped at the operating-model level, not at the per-cloud level.

You walk away with
  • A multi-cloud current-state map.
  • A tooling and spend inventory across providers.
  • A gap register and an overlap register, with severity and ownership.
Phase 02

Design

A unified operating model. Posture view, identity model, evidence consolidation, tooling stack, detection rules, FinOps cadence, governance charter. Designed with your security, engineering, and finance leads, signed at the executive level.

You walk away with
  • A multi-cloud operating model document.
  • A tooling future-state and retirement plan.
  • A governance charter for the cross-cloud forum.
Phase 03

Consolidate

Implementation. Posture pipeline stood up, identity federation completed, evidence repository wired, detection rules deployed, duplicate tools retired, FinOps cadence running. Each piece validated against the operating model before it is declared live.

You walk away with
  • A live unified posture dashboard.
  • A consolidated evidence repository against the framework.
  • Retired tooling contracts and reallocated spend.
Phase 04

Operate

The operating model runs. Cross-cloud governance forum on cadence, SOC queue running detections across providers, FinOps and SecOps reviewing on the same schedule. Hand off to your team, our Managed Security Services, or a hybrid arrangement.

You walk away with
  • An operating runbook for the multi-cloud security model.
  • A defined handoff to Managed Security Services or to your team.
  • A scheduled cadence aligned to audit and board reporting windows.
Expertise this work draws on

The components behind a working multi-cloud operating model.

Cloud & Technology Infrastructure

Multi-Cloud & Hybrid Management

Cross-provider posture management, identity federation, tooling rationalization, and the operating model that lets one security program span AWS, Azure, GCP, and hybrid environments.

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Cybersecurity & Compliance

Identity & Access Management

Federation against your IdP, cross-cloud role taxonomy, machine-identity hygiene, and the privileged-access model that holds across providers without becoming three different stories.

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Technology & Security Operations

Logging & Audit Trails

Cross-cloud log consolidation, retention aligned to framework windows, and the detection-rule layer that lets the SOC see one queue across providers.

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Cybersecurity & Compliance

Compliance Framework Alignment

Control inheritance from each provider, then the cross-cloud controls you operate on top, cross-mapped to SOC 2, HITRUST, HIPAA, PCI, and NYDFS in a single evidence base.

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Three answers from three teams is not one answer.

Thirty minutes with a senior partner. Bring the clouds you run, the tools you license, and the framework you report against. We will tell you what one operating model would look like across them.