CloudThinker Assessment · SOC 2 · ISO 27001 · APJ
AI compliance automation for SOC 2 and ISO 27001 across APJ
Stop treating SOC 2 and ISO 27001 as an annual fire drill. CloudThinker Assessment keeps your AWS, GCP, and Azure accounts continuously audit-ready — mapping controls to live state, collecting evidence agentically, and remediating drift under policy, with data-residency-safe controls built for APJ.
- Continuous, not annual
- Data stays in region
- Tamper-evident audit trail
Why compliance breaks for cloud teams
Frameworks assume a point-in-time audit. Production changes every day. That gap is where compliance fails — and where APJ teams carry the extra weight of multiple frameworks and regional data rules at once.
Audits are an annual fire drill
Every SOC 2 or ISO 27001 cycle turns into weeks of engineers chasing screenshots, exporting logs, and reconciling a control spreadsheet that is stale the day it ships.
Controls drift between audits
A public S3 bucket, a disabled log stream, an over-permissioned role — production drifts out of compliance the moment the auditor leaves, and nobody notices until the next cycle.
One control, many frameworks
APJ teams evidence the same control against SOC 2, ISO 27001, and local data-protection rules at once — manual mapping does not scale across three frameworks and multiple clouds.
You cannot ship PII to a model
Data-residency and data-protection rules mean sensitive evidence cannot leave the region or reach a third-party LLM in the clear — most AI tooling ignores this and creates new exposure.
How CloudThinker Assessment works
Continuous compliance, run by agents under your policy
Assessment connects to your existing cloud accounts and runs the DARV loop on every control — detecting drift, collecting evidence, and remediating findings at the autonomy level you set. The platform, not the model, holds the credentials, the sandbox, and the audit trail.
Map controls to live cloud state
Connect your AWS, GCP, and Azure accounts. Assessment maps each SOC 2 and ISO 27001 control to the real configuration of your production estate — no spreadsheet, no guesswork.
Collect evidence continuously
Agents pull the evidence each control requires — encryption, IAM, logging, backups, access reviews — on a schedule, timestamped and stored with a tamper-evident audit record.
Detect drift the moment it happens
When a control slips — a bucket goes public, a log stream stops — the platform flags it against the affected frameworks immediately, not at the next audit.
Remediate under policy
Assessment can fix the finding through the DARV loop inside a sandbox with brokered credentials — at the autonomy level you have set, with every action logged for the auditor.
Automation you can put in front of an auditor
Automating compliance only helps if the automation is itself governed. Every agent action runs under controls designed to survive an audit and keep sensitive data in region.
The DARV loop
Every remediation runs Detect, Analyze, Remediate, Verify. Each stage produces a receipt, so a compliance fix is reversible and auditable end-to-end — not an opaque black box.
What is the DARV loop?Graduated autonomy (L1–L4)
Start every control at notify-only. Promote remediation autonomy one control at a time as it earns trust against your policy — and dial any control back down whenever you need to.
What is graduated autonomy?Governance built for auditors
Brokered, scoped credentials at task time, sandboxed execution, deterministic data tokenization at egress, and a tamper-evident audit trail for every action the agents take.
What is tamper-evident audit?What teams get out of it
Compliance stops being a project with a deadline and becomes a property of the system that holds every day.
Audit-ready
continuously
Evidence reflects live production, so audit prep stops being a quarterly scramble and becomes a report you export on demand.
Real-time
drift detection
Controls that slip between audits get caught the moment they drift, not months later when the damage is already done.
One map
many frameworks
A single control state evidences SOC 2, ISO 27001, and the regional standards APJ audits build on — mapped once, not three times.
CloudThinker holds AWS competency and is built for regulated cloud operations. TODO(steve): verify exact certification/competency wording and effective date before publishing specific compliance-attestation claims.
Frequently asked questions
- What is AI compliance automation?
- AI compliance automation uses autonomous AI agents to keep your cloud continuously aligned with a framework like SOC 2 or ISO 27001 — instead of scrambling for evidence once a year. CloudThinker Assessment maps each control to the live state of your AWS, GCP, and Azure accounts, collects evidence on a schedule, flags drift the moment a control slips, and can remediate the fix under policy through the DARV loop (Detect, Analyze, Remediate, Verify). Engineers stay on the loop, approving actions and raising the autonomy level as agents earn trust.
- Which frameworks does CloudThinker support for compliance automation?
- CloudThinker Assessment maps controls for SOC 2 (Trust Services Criteria) and ISO 27001 / ISO 27017, and covers the CIS Benchmarks and cloud provider best-practice standards that most APJ audits build on. The same agentic control checks also help teams evidence data-protection obligations across the region. TODO(steve): confirm the exact framework list and any region-specific mappings (e.g. Vietnam Decree 13, Singapore, Australia) to publish here.
- Why does AI compliance automation matter for APJ teams specifically?
- APJ teams often carry SOC 2 and ISO 27001 for global customers while also answering to local data-protection and data-residency rules. That means the same control has to be evidenced against multiple frameworks, and sensitive data cannot leave the region or reach a third-party model unprotected. CloudThinker tokenizes sensitive data deterministically at egress so PII never reaches the model in the clear, keeps a tamper-evident audit trail for every action, and runs under brokered, scoped credentials — so an APJ team can automate compliance without creating a new data-residency or data-exposure risk.
- How does agentic evidence collection replace manual audit prep?
- Instead of engineers screenshotting consoles and pasting logs into a spreadsheet before every audit, CloudThinker Assessment connects to your cloud accounts and continuously pulls the evidence each control requires — encryption settings, IAM policies, logging configuration, backup state, access reviews. Evidence is timestamped and stored with a tamper-evident audit record, so the artifact your auditor sees is the live state of production, not a stale snapshot from three weeks ago.
- Is it safe to let an AI agent remediate compliance findings?
- Yes, because safety comes from the platform controls, not from trusting the model. CloudThinker issues brokered, scoped credentials at task time so the agent never holds standing access; it runs every remediation inside a sandbox where the credential lives in the environment, not the prompt; it tokenizes sensitive data at egress; and it writes a tamper-evident receipt for every action. Graduated autonomy (L1–L4) means each remediation only runs autonomously after it has earned that level under your policy — most teams start every control at notify-only.
- How do I get started with AI compliance automation?
- Connect your cloud accounts to CloudThinker and run an Assessment against your target framework — you get a live control map and evidence gaps in the first session, no forklift required. Start every control at notify-only, then promote remediation autonomy one control at a time as it earns trust against your policy. Book a demo to see it against your own SOC 2 or ISO 27001 scope, or start free.
Make SOC 2 and ISO 27001 a property of your cloud, not a deadline
Connect your cloud, run an Assessment against your target framework, and see live control coverage and evidence gaps in the first session. Start every control at notify-only and promote autonomy as you earn trust.