Research Report
AISecurity&ComplianceGuide2026

Control themes SOC 2, GDPR, and HIPAA questionnaires ask about on an LLM product. Not a certification.

52 pagesTopic guide, not an audit credentialPublished January 8, 2026

Methodology

This page lists control themes that show up on SOC 2, GDPR, and HIPAA questionnaires for LLM products. It is not a record of audits performed by Mansoori Technologies, and it is not a certification.

Key findings

The numbers we keep coming back to

The signals that shaped the rest of the analysis — each one is summarized with the methodology above.

Auth

Who can read a record

Access rules belong in the design. This page does not certify that design.

Logs

A trail you can explain

Prompts, tool calls, and the decision a person made are questionnaire topics. We do not claim an audit practice.

Vendors

Where data goes

Name the model vendor and what it is allowed to retain. That is scope, not a HIPAA credential.

Secrets

Keys out of the client

The same check we run on an AI-built MVP: keys, environments, and a deploy that can be repeated.

Quote

Not a certification

We do not claim HIPAA, SOC 2, or GDPR certification. A fixed price comes after we see the repo.

Inside the report

8 chapters of research

A scannable chapter guide of what the full write-up covers.

01

Threat-modeling AI systems

Prompt injection, data exfiltration, model poisoning, and supply-chain risks mapped to concrete controls.

02

Data governance for training and inference

Retention, redaction, and purpose limitation requirements under GDPR and HIPAA, with template DPIA.

03

SOC 2 controls for AI systems

The 12 auditor-standard controls, with acceptance criteria, evidence, and example policy language.

04

HIPAA specifics for LLM-powered tools

BAA coverage, PHI handling, and de-identification pipelines that survive audit scrutiny.

05

GDPR and automated decisioning

Article 22 obligations, human-in-the-loop design, and right-to-explanation implementations.

06

Audit trail and observability requirements

Per-inference logging, prompt/response retention policies, and PII-safe telemetry patterns.

07

Third-party and model vendor review

How to assess OpenAI, Anthropic, AWS Bedrock, and Azure OpenAI under a formal vendor-risk program.

08

AI incident response playbook

From first prompt-injection report to root-cause remediation and disclosure timelines.

Full report

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Fixed price

Send the repo. Get a quote.

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