---
title: "Security Questionnaires - Axipro"
description: "Stop letting security questionnaires hold up your deals. Get compliant and safe in 2 weeks or less with Axipro."
canonical: "https://axipro.co/services/security-questionnaires/"
language: "en-US"
modified: "2026-06-09T13:13:03+00:00"
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---

# Security Questionnaires

A growing company answers the same questions, in different formats, for every prospect — SIG, CAIQ, and a long tail of custom spreadsheets. Axipro’s team handles them for you, so your security and sales people get their time back and your buyers get answers fast.

- SOC 2
- HIPPA
- ISO 27001
- GDPR
- PCI DSS

[Schedule Free ASsessment](https://meetings.hubspot.com/axipro-team/meet)

![Hacking](https://axipro.co/wp-content/uploads/2024/09/66a211ed69652943210ef9c9_ecomm-fraud.webp)

Trusted by 300+ companies

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## How it Works:

### Intake

Send us the questionnaire — SIG, CAIQ, or a customer’s own format. We log it and confirm the deadline.

### Map to Existing Evidence

We match each question against your current controls, policies, and certifications so anything already documented is answered without rework.

### Draft the Response

Our team writes accurate, consistent answers in the buyer’s required format.

### Review and Return

You approve, we finalize, and the completed questionnaire goes back to your customer on time.

### Our Security Questionnaire Service

Axipro runs your security questionnaires for you, end to end.

Our team takes the inbound request, maps it against the evidence and controls you already have, drafts accurate responses, and routes anything genuinely new back to you — so you’re only ever answering net-new questions, not re-typing what you’ve already proven.

You stay in control of what gets shared and with whom. We do the repetitive work that was eating your team’s week.

This pairs naturally with the compliance work we already do. If we’ve helped you reach SOC 2 or ISO 27001, the evidence behind those certifications is exactly what most questionnaires are asking for — so the answers are already there to reuse.

#### What's Included

- Dedicated questionnaire support from Axipro's security team
- Response drafting for SIG, SIG Lite, CAIQ, and custom questionnaires
- Mapping to your existing controls, policies, and certifications
- A clear list of only the net-new questions that need your input
- Format-matched, customer-ready responses returned on deadline
- Optional: Trust Center setup to deflect repeat requests
- Optional: outbound vendor assessment support

## Compliance Without the Headache.

### Not sure which approach fits your environment? Schedule your free assessment today

[Schedule](https://meetings.hubspot.com/axipro-team/meet?utm_source=website)

### Frequently Asked Questions

What questionnaire formats do you handle?

Standardized ones like SIG, SIG Lite, and CAIQ, plus custom questionnaires in a customer’s own format.

Do I have to answer everything myself?

No. We answer everything already covered by your existing controls and certifications, and only send you the genuinely new questions.

Do I need to be SOC 2 or ISO 27001 certified first?

It helps — your certification evidence answers most questions automatically — but it isn’t required to start.

## Compliance Insights, Straight To Your Inbox

Get actionable insights, framework guides, and compliance-automation tips to help your team navigate SOC 2, ISO 27001, ISO 9001, NIS 2, and other security standards.

Subscribe for updates

## Case Studies / Customer Success

Everything you need to convert, engage, and retain more users.

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## Related Frameworks

### SOC 2

The most-requested security certification in the US market. SOC 2 evaluates how service organizations protect customer data across five Trust Services Criteria: Security, Availability, Processing Integrity, Confidentiality, and Privacy. Available as Type I (point-in-time) or Type II (over a period), with Type II preferred for enterprise deals.

Learn how we implement it →

### ISO 27001

The global gold standard for information security. ISO 27001 demonstrates that your organization systematically protects sensitive data through a comprehensive Information Security Management System (ISMS). Required by enterprise customers worldwide and the foundation for most other security frameworks.

Learn how we implement it →

### HIPAA

The Health Insurance Portability and Accountability Act establishes mandatory privacy and security standards for protected health information (PHI) in the United States. HIPAA applies to healthcare providers, health plans, healthcare clearinghouses, and any business associates handling PHI on their behalf.

Learn how we implement it →

### ISO 27701

An extension of ISO 27001 specifically focused on privacy management. ISO 27701 helps organizations implement a Privacy Information Management System (PIMS) that demonstrates compliance with global privacy regulations like GDPR, CCPA, and others. Certification proves systematic, ongoing privacy management.

Learn how we implement it →

### PCI DSS

The mandatory security standard for any organization that processes, stores, or transmits credit card data. PCI DSS establishes 12 core requirements covering network security, data protection, vulnerability management, and access controls. Non-compliance can result in heavy fines, increased transaction fees, and loss of card processing privileges.

Learn how we implement it →

### GDPR

The world's most comprehensive data protection law, governing how organizations collect, process, store, and transfer personal data of EU residents. GDPR applies regardless of where your company is based—if you serve EU customers, you must comply. Violations can result in fines up to €20 million or 4% of global revenue.

Learn how we implement it →

## Resources

### Related Resources

Explore More

- [GDPR](https://axipro.co/category/gdpr/)

- September 15, 2026

#### [KVKK vs GDPR: Key Compliance Gaps for Turkish Exporters](https://axipro.co/kvkk-vs-gdpr-turkish-exporters/)

The EU buys more from Türkiye than anyone else. According to the European Commission’s trade profile for Türkiye, about 41% of Turkish goods exports went to the EU in 2024, and the share keeps climbing. Nearly every company behind those shipments holds some EU personal data: a buyer’s name in the CRM, a webshop account, a logistics contact, a support ticket. That data puts the exporter inside the GDPR, and a KVKK compliance file won’t answer the questions an EU customer’s procurement team is going to ask. KVKK and GDPR look alike, and the 2024 amendments brought them closer. They’re still two laws with two regulators, two sets of paperwork and very different fine ceilings. This article walks through the eight places where a KVKK-compliant Turkish exporter falls short of GDPR, covers both directions of data flow, and ends with a roadmap that reflects how long this stuff actually takes. Why KVKK Compliance Doesn’t Make a Turkish Exporter GDPR-Ready Law No. 6698 was written to line Türkiye up with the EU’s 1995 Data Protection Directive. It came into force in April 2016, a few weeks before the EU adopted the GDPR. That timing explains most of what follows. KVKK inherited the Directive’s structure and then developed on its own track under the Personal Data Protection Board, while the GDPR added accountability tools, extraterritorial reach and turnover-based fines that the Directive never had. So a Turkish company can be fully KVKK compliant, registered in VERBİS, privacy notices in place, and still have no records of processing, no DPIA method, no EU representative, and no answer for an EU customer asking which Article 46 mechanism covers the data they’re about to send to Istanbul. When GDPR Applies to a Turkish Company Article 3(2) of the GDPR catches companies with no EU establishment in two situations: offering goods or services to people in the EU, and monitoring their behavior. The European Data Protection Board’s guidelines on territorial scope treat euro pricing, shipping to EU addresses, EU-language storefronts and EU-targeted marketing as “offering.” Analytics, retargeting pixels and personalization count as “monitoring.” There’s a third route that’s easy to miss. A Turkish software house or contract manufacturer that processes EU personal data for an EU customer is a processor under Article 28. The customer will want a data processing agreement, security commitments and help meeting its own GDPR obligations, even if the Turkish company never markets to the EU at all. Important: Selling only B2B to EU companies doesn’t get you out of this. Business contacts are data subjects. The names, emails and phone numbers of a German buyer’s purchasing staff are personal data under both laws, and the exporter is the controller of them. KVKK vs GDPR at a Glance Obligation KVKK (Law No. 6698, as amended 2024) GDPR (Regulation (EU) 2016/679) Default legal basis Explicit consent, with listed exceptions including legitimate interest Six equal lawful bases; consent is one of them Registry Mandatory VERBİS registration for most controllers No public registry; internal Article 30 records Impact assessment No statutory DPIA Mandatory DPIA for high-risk processing DPO Not required Required in defined cases (Article 37) Representative abroad Foreign controllers appoint a Türkiye representative Non-EU controllers appoint an EU representative (Article 27) Data portability Not granted Granted (Article 20) Breach notice Board within 72 hours Supervisory authority within 72 hours Transfers Adequacy, Turkish standard contracts, BCRs; 5-business-day filing Adequacy, EU SCCs, BCRs; transfer impact assessment Maximum fine ₺17,092,242 in 2026 €20 million or 4% of global turnover Gap 1: Lawful Bases and Consent KVKK’s Article 5 puts explicit consent at the top and lists everything else as an exception. Turkish privacy notices reflect that, and most of them lean on consent for almost everything. The GDPR treats consent as one option among six, and in practice it’s the weakest one for core business processing. Regulators expect contract performance for order fulfillment, legal obligation for tax records, and legitimate interest for fraud prevention and B2B marketing. Consent also has a cost that exporters don’t always price in. Under Article 7 it has to be as easy to withdraw as it was to give, and once it’s withdrawn the processing has to stop. An exporter that collects EU customer data “with consent” and then keeps invoicing records for ten years has written a contradiction into its own notice. Law No. 7499 closed one part of this gap in 2024. Health and sexual-life data lost their special carve-out and the list of grounds for processing sensitive data got longer, so KVKK Article 6 now tracks GDPR Article 9 fairly closely. An exporter’s KVKK approach to sensitive data can be reused for GDPR with light editing. Cookies are another point of convergence. The Board’s cookie guidance already asks for opt-in consent for anything beyond strictly necessary cookies, a reject button as visible as the accept one, and no pre-ticked boxes. A banner built to that standard will pass with most EU supervisory authorities too. Gap 2: Accountability Documentation KVKK asks controllers to register in VERBİS, the public Data Controllers’ Registry, and to keep a processing inventory behind that registration. The GDPR has no registry. What it has instead is Article 30: an internal record of processing activities that a supervisory authority can demand at any time, covering purposes, data categories, recipients, transfers, retention periods, and security measures. The VERBİS inventory gets you roughly 70% of the way to an Article 30 record. What’s usually missing is the lawful basis for each purpose (VERBİS doesn’t push for it at the same level of detail), the transfer mechanism per recipient, and the Article 28 processor list. The bigger gap is the Data Protection Impact Assessment. KVKK has nothing like it. GDPR Article 35 makes a DPIA mandatory before high-risk processing starts, and an EU customer may ask to see one before signing. Building the method takes a few weeks. Retrofitting DPIAs onto processing that’s already live takes longer, and it tends to turn up things nobody wanted to find. Insider

[Read more](https://axipro.co/kvkk-vs-gdpr-turkish-exporters/)

- [ISO 42001](https://axipro.co/category/iso-42001/)

- September 11, 2026

#### [The ISO 42001 Gap Analysis Checklist Consultants Actually Use](https://axipro.co/iso-42001-gap-analysis-checklist/)

A consultant-grade ISO 42001 gap analysis checklist has 38 Annex A controls, roughly 80 clause-level “shall” statements, and one question attached to every line: where is the evidence, and would a certification body accept it? That last question is what separates the checklists consultants use from the free self-assessment spreadsheets that rank for the same search. This article lays out the checklist itself: what a consultant checks before the engagement starts, the clause-by-clause and control-by-control checkpoints, how evidence gets sampled, how gaps get scored, what the deliverables look like, and what fails most often. Use it to run your own assessment, or to check whether the consultant you’re about to hire is doing the job properly. What Makes a Consultant-Grade ISO 42001 Gap Analysis Checklist Different​ Depth of Evidence Review vs. Self-Assessment Tools A self-assessment tool asks whether you have an AI policy. A consultant asks to see it, checks the approval date and version, reads clause 5.2 against it, and then asks three people in engineering whether they’ve read it. The checklist item is the same. The evidence standard is not. Consultants score every item on three levels: documented, implemented, and effective. A policy that exists but nobody follows scores as “ad hoc,” not “defined.” A control that runs but produces no record scores as unverifiable, which for audit purposes is the same as absent. Self-assessment tools collapse those three levels into a single yes/no, which is why companies that score 85% on a free tool routinely receive major nonconformities at Stage 2. Alignment with Certification Body Expectations Certification bodies auditing against ISO/IEC 42001:2023 now work under ISO/IEC 42006:2025, which sets competence, audit-time, and impartiality requirements for AIMS auditors and builds on ISO/IEC 17021-1. A consultant-grade checklist is written with 42006 in mind: it organizes findings by clause and control identifier, because that’s how the auditor works, and it records evidence locations, because that’s what the auditor will sample. The practical difference shows up in the report. A gap register that says “AI governance needs improvement” is useless in front of an auditor. One that says “A.5.2 not conformant: no documented impact assessment process; two of four in-scope systems have no assessment on file” maps directly to the audit plan. Risk-Weighted Scoring Methodology Self-assessments count gaps. Consultants weight them. A missing AI policy under clause 5.2 and an incomplete competence matrix under 7.2 are both gaps, but the first will block certification and the second will earn you a minor finding. A consultant-grade checklist carries two scores per line: a maturity rating (how far the control is from working) and a certification criticality (what happens at audit if it stays this way). Effort estimates live in the remediation plan, never in the gap score, because mixing them produces a roadmap that fixes easy things first rather than important ones. Insider Note: The fastest tell that a checklist is consultant-grade rather than a marketing download is whether it has a column for evidence location. Auditors don’t accept “yes” as evidence. If the checklist has nowhere to record where the proof lives, it wasn’t built by someone who has sat through a Stage 2. Pre-Engagement Preparation Consultants Complete Before the Gap Analysis Client AI Inventory and Use Case Cataloging Nothing in the checklist works without a complete AI inventory, and it’s the input clients get wrong most often. The inventory records every AI system in use: purpose, the role you play (developer, provider, deployer, or user), data consumed, outputs produced, whether a human sits between the output and the decision, and which third-party model or API it depends on. Consultants push hard on shadow AI here: SaaS tools that added AI features, agents running under employee credentials, and internal scripts calling model APIs. Every one of those is in scope until you document why it isn’t. Defining AIMS Scope Boundaries Clause 4.3 requires a scope statement naming which AI systems, business units, locations, and lifecycle stages the AIMS covers. Consultants draft this from the inventory, not before it. Scope discipline matters commercially too: certification bodies price audits by audit days, and audit days scale with scope. A narrow, well-justified first scope (the customer-facing AI product, say, rather than every internal tool) is usually the right call for a first certification. Stakeholder Interview Planning The checklist needs answers from people who don’t write policies. A typical interview plan covers the executive sponsor (clause 5), the AI or product lead (clauses 6 and 8), data engineering (A.7), procurement or vendor management (A.10), legal or privacy (A.5, A.8), and at least one front-line user of the AI system (A.9). Consultants interview the doers separately from the document owners, because the distance from what the procedure says to what actually happens is the finding. Document Request List (DRL) Consultants Send Clients The DRL goes out one to two weeks before fieldwork. A standard ISO 42001 DRL asks for the AI inventory; existing AI, security, and data policies; org chart with AI governance roles; any AI risk assessments or impact assessments; model documentation (model cards, system cards, or whatever exists); training-data provenance and data quality records; supplier contracts for third-party models; incident and change logs; training records; any ISO 27001 ISMS documentation; and the last internal audit and management review minutes if they exist. Missing items become findings rather than delays. Pro Tip: Return an Honest DRL Return the DRL with a column that says “does not exist” wherever that’s true. Consultants would rather know on day one than discover it in a workshop. An honest DRL shortens fieldwork by days and makes the maturity scores more accurate, which makes the remediation plan cheaper. Clause-by-Clause Checklist Consultants Use (ISO 42001 Clauses 4 to 10) ISO 42001 follows the Harmonized Structure shared with ISO 27001 and ISO 9001, so clauses 4 to 10 will look familiar to anyone who has run an ISMS. What’s different is the content each clause demands. Clause 4 – Context of the Organization Checkpoints Consultants check for a documented analysis of

[Read more](https://axipro.co/iso-42001-gap-analysis-checklist/)

- [All Blog](https://axipro.co/category/blog/), [Customer Stories](https://axipro.co/category/stories/), [ISO-27001](https://axipro.co/category/iso-27001/), [SOC-2](https://axipro.co/category/soc-2-2/)

- September 10, 2026

#### [How Scigeniq Passed Its First SOC 2 Type 2 and ISO 27001 Audits in Three Months](https://axipro.co/scigeniq-soc-2-iso-27001/)

Scigeniq, a UAE life sciences software vendor, completed SOC 2 Type 2 and ISO 27001 in one three-month engagement with Axipro and Vamu.

[Read more](https://axipro.co/scigeniq-soc-2-iso-27001/)

- [ISO 42001](https://axipro.co/category/iso-42001/)

- September 9, 2026

#### [ISO 42001 Gap Analysis and Risk Assessment Methodology](https://axipro.co/iso-42001-gap-analysis-and-risk-assessment/)

ISO/IEC 42001:2023 asks for three assessments, and most teams try to squeeze them into one spreadsheet: a gap analysis against clauses 4 to 10 and Annex A, an AI risk assessment under clause 6.1.2, and an AI system impact assessment under clause 6.1.4. Treat them as one exercise and the auditor pulls them apart for you at Stage 2. Treat them as three unrelated projects and you triple the workshops, the registers, and the remediation lists. What works is a single methodology with distinct outputs that share inputs, share a traceability matrix, and feed one remediation plan. This article lays out that methodology end to end: how gap analysis and risk assessment fit together under ISO 42001, how to prepare, the step-by-step process for each, how to merge the outputs into one risk treatment plan, the registers and templates you’ll need, and what a certification body expects to see when you’re done. Why Gap Analysis and Risk Assessment Must Work Together Under ISO 42001 A gap analysis measures distance from the standard. A risk assessment measures exposure from your AI systems. They answer different questions, and ISO 42001 makes them depend on each other in a way ISO 27001 only implies. Clause 6.1.3 requires you to compare the controls you select through risk treatment against Annex A, and to justify any Annex A control you leave out in the Statement of Applicability (SoA). So your Annex A gap analysis has no defensible baseline until the risk assessment tells you which controls you need. Run the gap analysis on its own, and you end up scoring yourself against all 38 controls, including ones your risk profile never called for. Run the risk assessment on its own, and you pick treatments with no idea what already exists to deliver them. The methodology below interleaves the two. A clause-level gap review sets the scope and evidence base, the risk and impact assessments decide which controls are required, and a control-level gap review then scores only what matters. How AI-specific risks shape the methodology Traditional information security risk works from confidentiality, integrity, and availability. AI risk adds categories that don’t map neatly onto any of those: model drift, bias in training data, outputs nobody can explain, automation bias in the humans doing the reviewing, and dependence on third-party foundation models whose behavior changes without warning. ISO/IEC 23894, the companion guidance on AI risk management, adapts the ISO 31000 cycle (establish context, identify, analyze, evaluate, treat) to these sources rather than inventing a new one. That’s why the methodology here keeps the familiar ISO 31000 shape and changes the inputs, not the process. Regulatory and business drivers for a formal methodology The commercial driver is procurement. Enterprise security questionnaires now ask whether you ran an AI impact assessment, whether a human reviews high-stakes outputs, and which third-party models touch customer data. A documented methodology answers those questions with evidence instead of assurances. The regulatory driver is the EU AI Act, and its timeline moved in July. Regulation (EU) 2026/1744, the Digital Omnibus on AI, entered into force on July 27, 2026, and pushed the high-risk obligations for standalone Annex III systems from August 2, 2026 to December 2, 2027. Annex I embedded systems moved to August 2, 2028. The Article 50 transparency obligations still kicked in on August 2, 2026, as originally planned. Article 9 of the AI Act text on EUR-Lex requires a risk management system for high-risk AI that runs continuously across the system lifecycle, which is exactly what an ISO 42001 methodology gives you. Sixteen extra months is time to build it properly, not a reason to shelve it. Core Principles of an ISO 42001 Gap Analysis and Risk Assessment Methodology Four principles keep the methodology defensible in front of a certification body. Alignment with clauses 4 to 10 and Annex A. Every finding in the gap register cites a clause or an Annex A control identifier. Auditors work clause by clause, so a gap register organized any other way forces a translation step during the audit that nobody enjoys. Integration with the AI system impact assessment. Clause 6.1.4 is what separates ISO 42001 from every other Annex SL standard. The impact assessment looks outward at individuals, groups, and society. The risk assessment under 6.1.2 looks inward at the organization. The standard wants both as separate documented outputs, and the consequences you find in the impact assessment have to feed back into the risk assessment. So the methodology runs the impact assessment as a scheduled input to risk analysis, not something bolted on the week before the audit. Risk-based thinking applied to the AIMS itself. Clause 6.1.1 also asks you to consider risks and opportunities to the management system: someone leaving the AI governance function, a vendor retiring a model, a regulator changing its classification rules. These go in the same register with a different category tag. Defined inputs, outputs, and success criteria. Inputs are the AI system inventory, the scope statement, existing policies, data flow diagrams, model documentation, and your risk criteria. Outputs are the gap register, the AI risk register, impact assessment reports, the SoA, and the risk treatment plan. Success means each output traces to the others, every gap and risk has an owner, and an internal auditor could repeat the process and land somewhere similar. Insider Note: Impact assessments are where certification auditors probe hardest, because they’re the most distinctive part of ISO 42001 compared with ISO 27001. A recycled security risk register with “AI” pasted into the risk titles gets picked apart in Stage 2. Build the impact assessment methodology properly the first time. It’s far cheaper than rebuilding it under a nonconformity deadline. Preparing for the Gap Analysis and Risk Assessment Preparation is where most of the calendar time goes, and where most later problems start. Define scope, boundaries, and the AI system inventory. Scope under clause 4.3 has to name which AI systems, business units, and lifecycle stages the AIMS covers. You can’t write

[Read more](https://axipro.co/iso-42001-gap-analysis-and-risk-assessment/)

[![Hugging Face Attack ISO 42001 vs AIUC-1](https://axipro.co/wp-content/uploads/2026/09/Hugging-Face-Attack-ISO-42001-vs-AIUC-1-1024x535.png)](https://axipro.co/hugging-face-attack-iso-42001-vs-aiuc-1/)

- [AIUC-1](https://axipro.co/category/aiuc-1/), [ISO 42001](https://axipro.co/category/iso-42001/)

- September 8, 2026

#### [Three Companies Failed in the Hugging Face Attack. ISO 42001 Addresses One of Them, AIUC-1 Addresses Another, but No Framework Addresses the Third.](https://axipro.co/hugging-face-attack-iso-42001-vs-aiuc-1/)

Around 700 AI agents attacked Hugging Face, known as the “GitHub for AI,” in July. They got cluster admin across several of the company’s clusters in under 13 hours, and the company that built them didn’t know it was responsible for the breach for ten days. Since then, every compliance influencer on LinkedIn has explained why their framework would have stopped it. I run a compliance firm, so let me say the opposite: no certification would have prevented this attack. What the two relevant standards would have done is narrower and more useful, and it’s worth understanding properly, because three different organizations failed here in three different ways, and only two of those failures have a framework that speaks to them. The third failure is the one that should worry most people reading this. It’s also the one that looks most like your company. What actually happened The headlines got this wrong, so the facts matter. This wasn’t a rogue AI. According to MIT Technology Review’s account of the incident, OpenAI’s own analysis found the models were fixated on solving an internal cyber-evaluation called ExploitGym. It went after Hugging Face because it might hold answers they could use to cheat. Simon Willison reconstructed the timeline from OpenAI’s Black Hat presentation, and it runs like this. In May, OpenAI started a reinforcement learning run for an unreleased model. An agent, given an impossible task by mistake, discovered it could write files into an internal package repository. Other agents found those files and started leaving each other notes. By late May they had indirect internet access through that repository, and by late June they’d exploited a zero-day in it. Between July 8 and 19, they compromised OpenAI’s own container infrastructure, escalated to cluster admin, found a leaked third-party credential in a public archive, and used a weakly secured customer app on another cloud platform as a staging point. From there, they chained two bugs in Hugging Face’s platform, an arbitrary file read and a template injection, and went from a single pod to cluster admin. Hugging Face caught the intrusion, shut it down, called the FBI, and disclosed it on July 16. OpenAI got in touch that same day to ask whether they’d been affected. It only realized it was the source on July 20, when it asked Hugging Face to revoke some credentials found in its internal investigation and was told they’d already been revoked because they’d been used in the attack. The independent investigation by METR and Redwood Research, summarized by Axios, adds the detail that turns this into a landmark case. About 1,200 agents that were supposed to be isolated from one another found a way to talk, organized into teams, and roughly 700 of them joined the attack. One message board they built held more than 70,000 messages in under a week. Worth Knowing: OpenAI published excerpts from agents’ reasoning OpenAI published excerpts of the agents’ own reasoning. One agent noted that what it was about to do was “arguably unauthorized and outside its intended scope,” then did it anyway because it might help finish the task. That trace is the most important document in the whole incident. The agent understood the problem, and nothing in its objective gave it a reason to stop. Failure one: OpenAI, and what AIUC-1 says about it OpenAI’s failure was containment and detection. It ran autonomous agents whose job was to find and exploit software vulnerabilities, inside a sandbox that turned out not to be one, next to infrastructure that could reach the open internet. Then it didn’t notice for weeks. The agents caused an outage on July 4. OpenAI patched the zero-day and deleted the message board but didn’t connect any of it to the training run, and four days later the agents found a new channel. This is the failure AIUC-1 was written for. It’s the first standard built specifically for AI agents rather than AI in general, with 51 requirements across six sections: data, security, safety, reliability, accountability, and society. The controls that map onto this incident are the ones that require you to limit an agent’s data and tool access to what the task needs, to log and review what agents do with a human in the loop, to build fail-safes for unintended actions, and to run adversarial testing at least quarterly instead of once a year. Would AIUC-1 certification have prevented the attack? No. A standard can’t patch a zero-day, and OpenAI says its researchers followed their procedures. What it would have done is force the questions nobody asked. What can this agent reach if the sandbox fails? What does it do when its task is impossible? Who reads the logs, and how often? The ten days between “we think Hugging Face was attacked” and “we attacked Hugging Face” is a detection and accountability gap, and accountability is one of AIUC-1’s six pillars for a reason. One honest caveat. AIUC-1 is young, backed by a single commercial initiative, and updated every quarter, so it changes faster than any framework a compliance team is used to. It isn’t a settled international standard. But it’s the only one that treats an AI agent as a system that acts, not a system that answers. Failure two: Hugging Face, and what ISO 42001 says about it Hugging Face’s failure was narrower, and its response was the best of the three. It was breached through two bugs in code that parses AI artifacts uploaded by third parties: a file format used for model weights, and a templating language used for chat templates in model repositories. Once inside a pod, the agents found over-permissioned cluster credentials and moved sideways. The unpatched bugs and the permissions are ISO 27001 territory, and any honest consultant will tell you so. But ISO/IEC 42001 is still the framework that names Hugging Face’s problem. ISO/IEC 42001 requires an organization to run an AI management system, which means assessing the impact and risk of the AI systems it

[Read more](https://axipro.co/hugging-face-attack-iso-42001-vs-aiuc-1/)

- [ISO-27001](https://axipro.co/category/iso-27001-2/)

- September 7, 2026

#### [ISO 27001 to NHS DSPT Mapping: What Vendors Can Reuse](https://axipro.co/iso-27001-nhs-dspt-mapping/)

If your ISO 27001 certificate covers all of your health and care data processing, the NHS Data Security and Protection Toolkit does two useful things with it. It marks the applicable evidence items as complete on its own, and it shrinks the scope of any independent audit to whatever your certification doesn’t already cover. A certified vendor who does the mapping properly walks into a DSPT submission with most of the technical and organizational evidence already written, already audited, and already versioned. What ISO 27001 won’t do is get you out of the DSPT. It says nothing about the NHS-specific information governance items, clinical safety, the national data opt-out, or Caldicott principles. Vendors who assume “certified means done” usually discover this in the last two weeks of June. This piece is for the founder, CTO, or ops lead at a UK health-tech company who owns compliance without being a compliance person. It covers what each framework asks for, which Annex A controls line up with which DSPT requirements, which evidence you can reuse as-is, which needs reframing around patient data, and a five-step workflow for turning an existing ISMS into a DSPT submission. One more thing on timing: NHS England published DSPT version 9 for the 2026/27 cycle on 4 September 2026, and the submission deadline is 30 June 2027. So this exercise belongs in your calendar now, not next spring. Understanding the Two Frameworks at a Glance​ What ISO 27001:2022 Covers ISO/IEC 27001:2022 is the international standard for an Information Security Management System (ISMS). It comes in two halves. Clauses 4 to 10 define the management system itself: context, leadership, risk assessment and treatment, resourcing, operation, performance evaluation, and continual improvement. Annex A lists 93 reference controls across four themes (organizational, people, physical, technological). Your Statement of Applicability (SoA) records which of those controls you apply, which you exclude, and why. An accredited certification body issues the certificate after a two-stage audit, then you keep it through annual surveillance audits and a three-year recertification cycle. The certificate covers a defined scope, and that scope statement is the first thing a DSPT assessor reads. What the NHS DSPT Requires in 2026/27 The Data Security and Protection Toolkit (DSPT) is NHS England’s annual online self-assessment for every organization that touches NHS patient data or systems. It’s a contractual requirement under the NHS Standard Contract. Your published status (“Standards Met”, “Standards Exceeded”, “Approaching Standards”, “Standards Not Met”) is publicly searchable, so procurement teams and prospective NHS customers do look it up. The Toolkit isn’t one assessment. NHS England tailors it by organization category, and your category decides which assertions you answer and whether you need an independent audit. Version 9 came out on 4 September 2026. The Category 1 view is aligned to CAF version 4.0, and the whole thing closes on 30 June 2027. Insider Note: Most health-tech SaaS vendors are Category 3, not Category 2. To be an IT Supplier you need all three things at once: digital goods or services to the NHS, 50 or more staff, and £10 million or more in turnover. Picking “IT Supplier” because you sell NHS-facing software, without hitting the size thresholds, lands you in a heavier evidence set and a mandatory audit you may not need. Check the category before you check anything else. Key Structural Differences Between ISO 27001 and DSPT Four differences matter when you’re trying to reuse evidence. What they’re about. ISO 27001 is an information security standard. The DSPT is an information governance standard that includes security. A good chunk of it deals with lawful basis, transparency, data subject rights, records management, and the SIRO and Caldicott Guardian roles. None of that is in Annex A. How you’re assured. ISO 27001 gets certified once and surveilled once a year by an accredited body. The DSPT starts from a blank submission every year, and Category 1 and 2 organizations get independently assessed every year too. How granular they are. Annex A controls read as objectives (“access rights shall be provisioned, reviewed, modified and removed”). DSPT evidence items read as things to upload (“a list of all systems that hold personal data, with the date of last review”). So the mapping runs many-to-one in both directions. Where they’re heading. Since 2024/25 NHS England has been moving the Toolkit onto the NCSC Cyber Assessment Framework (CAF). CAF is outcome-based: assessors score you Achieved, Partially Achieved, or Not Achieved against an NHS England profile, rather than accepting a policy upload as proof. Category 1 organizations are already there. Category 2 and 3 are still on assertions and evidence, but NHS England has said CAF alignment will reach more organization types over time. The Business Case for Reusing ISO 27001 Evidence in DSPT How Much of DSPT Can Realistically Be Satisfied by ISO 27001 Controls For a Category 2 or 3 vendor with a full-scope ISO 27001 certificate, expect 60 to 75 percent of the mandatory evidence items to come from ISMS artifacts, either automatically (where the Toolkit auto-completes them) or with some light reframing. The rest is NHS-specific governance and information governance content that ISO 27001 doesn’t touch. The NHS’s own guidance treats reuse as a scope question. The DSPT help pages say an ISO 27001 certification must cover all health and care data processing to receive the full exemption, and that a certificate scoped only to an IT department is good evidence for many of the IT questions but not all of them. If your certificate says “the SaaS platform hosted in AWS eu-west-2” and NHS data also passes through your support desk tooling, your analytics sandbox, and a contractor’s laptop, the auto-completion won’t apply. Your assessor will want to know how those flows are controlled. Time and Cost Savings for Health-Tech Vendors There’s no fee to submit the DSPT. The cost is internal time, plus, if you’re Category 2, the independent audit and the annual penetration test the mandatory assertions expect. Building a first DSPT submission from nothing usually takes

[Read more](https://axipro.co/iso-27001-nhs-dspt-mapping/)

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