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Security & architecture

Your data. Your rules. Your choice of deployment.

The same ownership principles apply to Managed MCP and Private Cloud. Choose services operated by Kuudo or infrastructure in your own cloud account. Review the account authorization, AI-provider terms and data-handling controls for the services you connect.

Managed MCP

Kuudo operates the services and processes their requests. Confirm service credentials, processing locations, retention and asset access during onboarding.

Review managed setup

Private Cloud

Run the service infrastructure in your cloud account, with Agent Flow's lake in your storage. The architecture and controls below describe this path.

Review Private Cloud

Private Cloud architecture and controls

Yours Your AI client Claude · ChatGPT · Cursor · any MCP runtime
Amazon's Amazon APIs SP-API · Ads API · AMC
deploys · orchestrates · authorizes — no data
Kuudo control plane Built and run by the team behind Openbridge. Holds scoped deployment keys and encrypted authorization tokens. Zero business data.

The dashed line stops at the wall. We are not in the data path.

The abstraction ladder

Three places your data can live. Two of them aren't yours.

Every tool you connect puts your data on one of these rungs. Kuudo is built on one rule, carried to its logical end: don't hold what isn't yours.

01
Most AI tools

Paste a report, a CSV, a spreadsheet, a PDF, a prompt into a chat session and they have full visibility. It all runs through their pipeline — and what works for you will end up improving a product your competitors also use.

Visibility into your moat
02
Typical SaaS

Your usage data lives in their system — and it feeds their product. The data you call, the actions you run, the context you supply: all of it is commoditized and rolled into features every subscriber gets. It feels like a moat, until your use case ships as everyone's "new feature."

Visibility into your moat
03
Kuudo — yours, running in your cloud

The MCP servers, the agents, and the data lake all deploy into a cloud account you own. We're not in the flow at all. What's left to trust is a thin control plane — the only thing we have to secure.

Visibility into your moat

Isolation by design

Your own cloud account, not a database row.

Multi-tenant platforms separate customers with permissions and query filters — one bug away from someone else's data. Kuudo has nothing to partition.

How most platforms isolate you

Everyone's data sits in one shared system. A tenant ID and an access rule are all that stand between your numbers and the next customer's.

their platform
someone else's account
who knows whose account
a competitor's account
your account
Everyone under one roof

How Kuudo isolates you

You bring the cloud account, and you choose the platform — AWS, Google Cloud, Azure, or Cloudflare. Kuudo deploys into it; we never hold it. The boundary around your data is the one those platforms already enforce: your IAM, your network, your keys.

Your private, owned cloud

It answers to your compliance regime — your SOC 2 scope, your residency rules, your keys — with no vendor exception. And what accumulates over time — the data, the learning, the playbooks — accumulates in storage only you can reach. That's what makes it a moat, your moat.

Two planes, two answers

Your column is long. Ours is short on purpose.

The honest way to read a security page is to ask one question: what does the vendor actually hold? Here is the complete answer.

The data plane

Yours — in your cloud
  • Everything that touches Amazon data runs in your own cloud account — MCP servers, Agent Flow's lake, Atlas retrieval, Skills.
  • Direct connections. Requests, API responses, and outputs travel between your AI client and your resources. Never through Kuudo.
  • We don't host, copy, cache, inspect, or retrieve your Amazon business data or the outputs built from it.
  • Not used for training by Kuudo. Your AI client and model provider handle data under your settings and agreement with them.
  • Encrypted under your keys, in your storage, governed by your cloud's controls.

The control plane

Ours — the complete list
  • Scoped orchestration credentials and deployment configuration you authorize us to use to stand up and manage your environment. Plus health telemetry: that a job ran, never what it carried.
  • Encrypted Amazon refresh tokens (and client secrets in bring-your-own-app mode), granted through Amazon's standard Login with Amazon (LWA) flow — Amazon's own consent screen scopes the permissions, and you can revoke them from your Amazon account at any time. Tokens are exchanged for short-lived access tokens issued to runtimes you authorize; the service never proxies your Amazon API traffic.
That's the whole list. Every control below exists to protect these two things.

Yours by design

What we can't see.

Your edge isn't just the data. It's the prompts you've refined, the playbooks you've built, the way you actually run the business. None of it passes through us — so none of it is ours to see, hold, or learn from.

The prompts your team writes
The questions you ask your data
What data you have, and where
How you manage your listings
Which AI clients you work in
The playbooks your agents run

The corrections, judgment calls, and playbooks you keep in your cloud are yours. Kuudo can't see them or use them to train a model. Your chosen AI provider's use of data is governed by your agreement with it.

Control-plane security

Receipts, not promises.

The control plane is built and run by the same team that built Openbridge — ten years running production Amazon data infrastructure, with a security program that passed Amazon's SP-API security review for developers handling PII, across every control domain. These are the standing controls behind it.

Encryption

TLS 1.2+ everywhere, TLS 1.3 on public load balancers. Tokens and secrets encrypted at rest with AWS KMS. Passwords stored only as salted hashes.

Penetration testing

Annual, independent, plus after significant changes. OWASP WSTG v4.2, ASVS Level 2, NIST SP 800-115. Latest findings closed within days.

Vulnerability mgmt

Amazon Inspector scans at least monthly, inside and out. Remediation SLAs: 7 days critical, 30 days high.

Threat detection

GuardDuty + Security Hub run continuously across production, staging, and development. No "lighter" environment exists.

Secure development

CodeQL static analysis, Dependabot dependency alerts, documented change management. Processing systems live in private subnets with no public endpoints.

Access

Least privilege by documented policy. Quarterly access reviews across every employee and service account. Privileged accounts managed as their own control area.

Perimeter

AWS WAF filters and blocks malicious traffic on every public control-plane surface and prevents unauthorized data egress at the application layer.

Governance

A documented program aligned with ISO 27001/27002 and the NIST CSF: version-controlled policies, annual senior-management review, third-party risk management.

Independent validation

Checked by people who don't work here.

Amazon SP-API security review: passed

January 2026, PII scope. Governance, data security, endpoint security, secure development, vulnerability management, cloud security, and hosted-software controls — evidence provided for each.

Amazon partner programs

Amazon Ads Verified Partner and Amazon Service Provider Network partner.

Audited platform inheritance

The control plane runs on AWS, inheriting the physical and infrastructure controls of a continuously audited platform: SOC 2 Type II, ISO 27001.

Shared tenancy is the industry default: your data one row away from everyone else's, behind controls you'll never see. Kuudo is built the other way — in Private Cloud, your services run in private, trusted, owned cloud infrastructure, separated by accounts and perimeters, not access rules. That matters beyond security: it's how you build a moat. What your team knows and builds stays your intellectual property, compounding for you instead of improving someone else's product. You are the owner, never the product.

FAQ

Private Cloud security questions.

These architectural answers describe Private Cloud unless the answer explicitly discusses both deployment paths. For Managed MCP, review the service-specific data handling during onboarding.

Where exactly is my data stored?

Private Cloud: In your own cloud account — AWS, Google Cloud, Azure, or Cloudflare — in whatever region you choose. We don't have a datacenter location to disclose because we don't have your data. Your residency requirements are satisfied by your own cloud configuration, not by a promise from us.

Who at Kuudo can see my data?

Private Cloud: No one — structurally, not procedurally. There is no Kuudo-side system that contains your Amazon business data, so there's no access for a policy to restrict, no read for an audit log to record, and no "documented reason" process to trust. What our systems can see is deployment telemetry: that a job ran, that a service is healthy. Never what it carried.

What does Kuudo actually hold, then?

Private Cloud: Two things. Scoped orchestration credentials and deployment configuration you authorize us to use to stand up and manage your environment. And, if you use our Amazon authorization service, encrypted refresh tokens exchanged for short-lived access tokens issued to runtimes you authorize — the service never proxies your Amazon API traffic. That's the complete list, and every control on this page exists to protect it.

How does Amazon authorization work?

Private Cloud: Through Amazon's own front door. Kuudo uses standard Login with Amazon (LWA) — the same OAuth flow Amazon requires of every SP-API and Ads developer. You grant access on Amazon's consent screen, Amazon scopes what the grant can touch, and you can review or revoke it from your Amazon account at any time. The authorization protocol and the permissions are always under your control — and holding an authorization still gives us no path to the data you collect with it, because that data flows straight into your own cloud account.

Is my data used to train AI models?

Kuudo does not use your business data to train AI models. Your AI client and generation providers process the content you send under their applicable terms. Choose those providers and terms for your work. Private Cloud runs the service infrastructure in your account; Managed MCP runs it on Kuudo's infrastructure. Review the data-handling terms for your selected service.

What happens when I cancel?

Private Cloud: Your data stays exactly where it always was — in your storage, in your cloud account. The managed services wind down without the control plane to orchestrate them, but there is nothing to export and nothing to retrieve: the lake, the history, and everything your agents built are already yours. On our side, you revoke the scoped keys you granted us and we delete your tokens and control-plane records. There is no 30-day purge window to monitor and no deletion audit to request, because there was never a vendor copy of your data to destroy. Offboarding from Kuudo is an exercise in revoking, not retrieving.

What happens if Kuudo has a security incident?

Private Cloud: The blast radius is the control plane, because that's all there is: a breach of our systems cannot expose your Amazon business data — it isn't in them. Worst case involves encrypted tokens and scoped keys, both of which you can revoke immediately from your own consoles. We maintain a documented incident response plan and will notify you promptly with what you need to meet your own regulatory obligations.

What about SOC 2, ISO 27001, GDPR, and Amazon's requirements?

Private Cloud: Two answers, one for each plane. The control plane: built and run by the same team behind Openbridge, whose security program passed Amazon's SP-API security review for developers handling PII (January 2026) and runs on AWS's continuously audited platform (SOC 2 Type II, ISO 27001), with a program aligned to ISO 27001/27002 and the NIST CSF. GDPR and CCPA terms are covered in our DPA, including Standard Contractual Clauses and the UK Addendum. The data plane: it runs in your cloud, so it sits inside your existing compliance regime — your SOC 2 scope, your residency rules, your key management, with no vendor exception to explain to an auditor.

How do I verify any of this?

Private Cloud: Deploy it and look. Every claim on this page is checkable against your own cloud console: the resources in your account, the IAM boundaries, the absence of any data path through us. You can even pen-test your own deployment, under your own rules — no permission letter from us required. For the control plane, the independent checks are the verification: Amazon's SP-API security review, passed across every control domain, and AWS's continuously audited platform.

Private beta

The strongest security answer is a deployment you own.

Bring us the Amazon workflow you want to run in your own cloud. We'll map the security model, deployment fit, and private-beta onboarding plan with you.

Security posture last updated July 19, 2026