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Illustrative scenario

Not based on a specific customer deployment. The company, figures, decisions, and outcomes below are a constructed example that shows how Intended’s mechanism applies to this kind of problem. They are not measured results from a named customer. Where we publish a real, attributed customer outcome, we will say so explicitly.

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Technology

Proving AI-Agent Tenant Isolation for a SOC 2 Audit

Consider a B2B SaaS platform whose AI agents handle customer onboarding, data migration, support automation, and cross-tenant analytics — and whose SOC 2 Type II audit requires proof of tenant isolation.

01 · the challenge

The kind of problem this addresses.

Shared
many enterprise tenants sharing the same AI agent infrastructure
Unproven
no cryptographic proof that AI agents respect tenant boundaries
Build cost
weeks of engineering to build a custom tenant-isolation audit system

02 · how it works

See the difference.

AI agent (Tenant A context)

Authenticated as TenantA support agent

Requests Tenant B customer data

query: SELECT * FROM customers WHERE tenant_id = 'B'

Data returned

Application-layer check missed edge case

Tenant B data exposed

No audit trail of cross-tenant access

03 · the solution

What they deployed.

  • Installed SaaS Operations domain pack with tenant-aware intent classification
  • Configured tenant context validation on every AI agent action
  • Cross-tenant access set to automatic DENY with zero exception policy
  • Evidence bundles generated for every tenant boundary check (pass and fail)
  • SOC 2 auditor received a complete tenant isolation report in under 60 seconds

04 · implementation

From zero to governed.

Week 1

Instrument

Added Intended SDK to all AI agent services. Configured tenant context propagation from auth tokens.

Week 2

Configure

Installed SaaS Ops domain pack. Defined tenant isolation policies, cross-tenant deny rules, and alerting.

Week 3

Audit-ready

Generate SOC 2 tenant-isolation evidence. Every tenant boundary check becomes independently verifiable from the cryptographic chain.

05 · illustrative outcomes

What this is designed to deliver.

Modeled figures for this scenario — what the workflow above is built to achieve, not measured results from a named customer.

0%

Cross-tenant access denied

Zero-exception policy on tenant mismatch

0%

Boundary checks evidenced

Pass and fail, in the audit chain

<0s

Audit evidence generation

Design target for isolation proof

0-click

Auditor verification

Independent of application-layer logs

06 · decision replay

Example decisions, full trace.

Sample decision records that show the shape of the evidence Intended produces. Illustrative, not drawn from a live customer’s logs.

2026-03-15 08:11:22saas.data.tenant-queryRISK: 8/100ALLOW14ms

Support agent queries customer list for Tenant: Acme Corp (tenant_id: acme-001)

Resolved by: Policy: same-tenant data access, authenticated agent

2026-03-15 09:33:41saas.data.cross-tenant-accessRISK: 100/100DENY11ms

Migration agent (Tenant: Acme) attempts to read schema from Tenant: GlobalTech

Resolved by: Policy: cross-tenant access forbidden (tenant mismatch)

2026-03-15 10:14:55saas.onboarding.provision-tenantRISK: 32/100ALLOW22ms

Onboarding agent creates new tenant workspace for Pinnacle Industries

Resolved by: Policy: provisioning allowed for onboarding agents with valid contract

2026-03-15 14:22:08saas.analytics.cross-tenant-aggregateRISK: 45/100ESCALATE18ms

Analytics agent requests anonymized usage metrics across all tenants

Resolved by: Data Privacy Officer (approved aggregated-only access in 3m 18s)

the takeaway

Tenant isolation is hard to prove with application-layer logs alone. When every boundary check is recorded in a cryptographic chain, an auditor can verify isolation independently — turning a multi-week evidence exercise into a query.

Why this pattern matters — not a customer quote.

Start proving tenant isolation

Free to start. See every AI decision from day one.

Intended — Intent Verification Infrastructure for Autonomous Agents