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  / Drata HIPAA Compliance: PHI Safeguards in 2026

Drata HIPAA Compliance: PHI Safeguards in 2026

Risk analysis failures sit behind 76% of HIPAA enforcement actions in 2025, according to The HIPAA Journal’s annual breach report. That single statistic explains why healthcare organizations and their business associates are rethinking how they manage HIPAA. Its no longer enough to conduct an annual policy review, it is now a continuous control problem.

Drata fits that shift. It is a security and compliance automation platform that connects to the systems where PHI lives, maps controls to the HIPAA Privacy, Security, and Breach Notification Rules, and keeps evidence current between formal assessments.

This guide covers what Drata actually does for HIPAA: which rules it addresses, how the automation works in practice, what it leaves to humans, and how readiness compares to running parallel frameworks like SOC 2.

Drata HIPAA Compliance - How the Platform Operationalizes PHI Safeguards in 2026

What Is HIPAA and Why Does Compliance Matter?

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is the U.S. federal law governing the protection of protected health information (PHI). It applies to two categories of organizations: covered entities (health plans, healthcare clearinghouses, and most providers) and business associates, a category that captures any vendor, SaaS company, or service provider that creates, receives, maintains, or transmits PHI on behalf of a covered entity.

Enforcement is led by the HHS Office for Civil Rights (OCR). Penalties scale with culpability, capped at roughly $2.1 million per violation category per year after inflation adjustments. OCR’s 2025 enforcement priorities were almost entirely focused on the Security Rule, particularly the requirement to conduct a thorough, organization-wide risk analysis. The agency has confirmed that 2026 will follow the same playbook, with risk management evidence (proof that identified risks are being actively reduced) becoming a separate focus area in its own right.

Healthcare also remains the most expensive sector for breaches. IBM’s 2024 Cost of a Data Breach Report put the average healthcare breach at $9.48 million, more than double the cross-industry average. The cost is not abstract: in 2025, OCR penalties for risk analysis failures ranged from $25,000 against small practices up to $3 million against a national medical supplier following a phishing-driven breach.

What Is Drata and How Does It Support HIPAA Compliance?

Drata is a GRC automation platform that integrates with cloud infrastructure, identity providers, HRIS systems, ticketing tools, and endpoint management to continuously collect evidence and test controls against more than 30 compliance frameworks. HIPAA was added in late 2021 as Drata’s third framework, joining SOC 2 and ISO 27001.

For HIPAA specifically, Drata does not certify anyone; there is no formal HIPAA certification anyway, but it operationalizes the work that OCR expects to see when an investigation lands. That includes mapped controls for administrative, physical, and technical safeguards; policy templates for HIPAA-specific requirements like the Business Associate Agreement; embedded workforce training; an integrated risk management module; and an evidence library that auditors and counsel can access during a review.

Worth Knowing: There is no government-issued HIPAA certification.

Any vendor claiming to make you "HIPAA certified" is using marketing language. What auditors and OCR investigators actually look for is documented, ongoing compliance with the three HIPAA Rules. Drata's value sits in producing that documentation continuously rather than retroactively. For a deeper look at what formal certification actually involves in adjacent frameworks, see our guide to HIPAA certification.

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Key HIPAA Requirements Drata Helps You Address

HIPAA consists of three operative rules, each with distinct compliance obligations. Drata’s control library maps to all three.

HIPAA Privacy Rule

The Privacy Rule governs the use and disclosure of PHI in any form: electronic, paper, or verbal. It defines 18 specific identifiers that constitute PHI, sets the minimum necessary standard, and gives patients rights of access, amendment, and accounting of disclosures.

Drata supports this through policy templates (notice of privacy practices, minimum necessary use, patient rights procedures), access tracking through integrations with identity providers, and workforce training that covers permissible uses and disclosures.

HIPAA Security Rule

The Security Rule is where most enforcement activity happens. It applies specifically to electronic PHI (ePHI) and requires three categories of safeguards: administrative, physical, and technical. According to HHS, the Security Rule “requires implementation of appropriate administrative, physical, and technical safeguards to ensure the confidentiality, integrity, and availability of electronic protected health information.” Drata’s control library maps directly to the 45 CFR Part 164 implementation specifications, both required and addressable.

HIPAA Breach Notification Rule

The Breach Notification Rule requires notification to affected individuals, HHS, and, for breaches affecting 500 or more residents of a state, the media, no later than 60 days after discovery. Drata supports breach response through incident management workflows, policy templates that codify the four-factor risk assessment, and audit trails for breach documentation. The platform does not file your OCR breach report for you; that remains a human task, but it keeps the underlying evidence organized.

Important: OCR has explicitly stated that breach notification failures were the second most common reason for a financial penalty in 2025. More than one-fifth of enforcement actions included a breach notification violation. The 60-day clock starts at discovery, not at confirmation, so detection latency directly increases legal exposure.

How Drata Automates HIPAA Compliance

Automation in Drata operates on four layers: evidence collection, control monitoring, gap detection, and integration with healthcare-relevant tools. The combination is what produces the continuous compliance posture that OCR is now effectively demanding through its risk management initiative.

Automated Evidence Collection for HIPAA Audits

Drata reports that its platform automates roughly 80% of evidence collection across frameworks. For HIPAA, that means pulling configuration data from AWS, Azure, or GCP; enrollment status from MDM tools like Jamf or Intune; SSO and MFA enforcement from Okta or Entra ID; and onboarding/offboarding records from HRIS platforms. Instead of screenshotting these on demand for an auditor, the platform timestamps and stores them on a continuous basis.

Real-Time HIPAA Compliance Monitoring

The platform runs automated tests against connected systems daily. If MFA is disabled on an administrator account that has access to a system holding ePHI, the relevant control flips to failing status and the owner gets notified. This is the difference between point-in-time compliance and continuous compliance: you find out about drift within hours, not at next year’s audit.

Continuous Control Testing and Gap Detection

Drata uses AI to surface why a control is failing rather than simply flagging that it has failed. For HIPAA, this matters because the Security Rule includes both “required” and “addressable” implementation specifications, and “addressable” does not mean optional. Gap detection that explains the underlying issue helps teams document why a particular safeguard was implemented, modified, or substituted with an equivalent measure, which is exactly what 45 CFR §164.306(d) requires. For organizations newer to this process, a structured gap analysis is often the best place to start.

Healthcare-Specific Integrations

Drata integrates with more than 300 systems. For healthcare and HIPAA workflows, the most relevant categories are cloud providers (where ePHI is stored), identity and access management tools (which enforce technical safeguards), endpoint and MDM platforms (which prove device-level encryption), HRIS systems (which drive workforce training and offboarding evidence), and ticketing tools (which provide audit trails for access changes).

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HIPAA Compliance Checklist in Drata

A HIPAA program in Drata generally breaks into four blocks of work, aligned with how the Security Rule is structured.

Administrative Safeguards

Administrative safeguards cover policies, procedures, and the conduct of the workforce. Drata supports the risk analysis requirement, the single most-enforced provision in 2025, along with security management process documentation, workforce security policies, information access management, training records, contingency planning, and periodic evaluation. The risk analysis module is where most teams will spend the bulk of their setup time, and rightly so given OCR’s current enforcement posture.

Physical Safeguards

Physical safeguards address facility access controls, workstation use and security, and device and media controls. For SaaS-native business associates, much of this is inherited from cloud providers, AWS SOC 2 reports, for example, and Drata’s vendor management module captures that inheritance. For organizations with their own facilities, controls and evidence need to be tracked manually, with Drata acting as the system of record.

Technical Safeguards

Access control, audit controls, integrity controls, person or entity authentication, and transmission security. This is where Drata’s integrations do the most work. Encryption at rest and in transit, MFA enforcement, role-based access, audit logging, and session timeouts can all be evidenced automatically through connected cloud and identity systems.

Organizational Requirements and Policies

This is the Business Associate Agreement (BAA) layer. Drata provides a BAA template and tracks BAA status across vendors that touch PHI on your behalf. The platform also supports the documentation requirements at 45 CFR §164.316, which mandates that all policies, procedures, and required actions are maintained in writing for six years from creation or last effective date.

Pro Tip: When you set up your HIPAA framework in Drata, configure it alongside SOC 2 from day one if both are on your roadmap. Drata reports up to 81% control overlap between the two, and shared control mapping means a single piece of evidence satisfies multiple framework requirements simultaneously. Setting them up separately later means duplicating work you have already done.

HIPAA Risk Assessments with Drata

Risk analysis is the most consequential HIPAA requirement to get right. Of the ten resolution agreements OCR announced in the first five months of 2025, every single one included a finding that the organization had not conducted a compliant risk analysis. Penalties for this single failure ranged from $25,000 to $3 million.

How Drata Supports Risk Assessment and Mitigation

Drata’s risk management module guides teams through identifying assets that store or process ePHI, scoring threats and vulnerabilities, and documenting mitigation owners and timelines. Crucially, it links each identified risk to the specific controls and evidence intended to mitigate it. When a control fails, the linked risk’s posture updates automatically. This is precisely what OCR’s expanded 2026 enforcement focus on risk management, not just risk analysis, is asking organizations to demonstrate.

Mapping Risks to HIPAA Controls in Drata

Each risk in Drata can be mapped to one or more HIPAA controls, and each control is mapped back to specific implementation specifications in 45 CFR Part 164. The result is a defensible chain: identified risk → assigned control → automated evidence → audit-ready documentation. This chain is what counsel will reach for first if OCR opens an investigation following a breach.

HIPAA Training Management in Drata

HIPAA requires workforce training, and OCR has cited training gaps as a contributing factor in multiple recent settlements. Drata addresses this through embedded training content and tracked completion, not just a checkbox.

Annual HIPAA Training Tracking

Drata’s embedded HIPAA training tracks completion at the individual workforce member level, surfaces overdue users, and timestamps every completion event for audit purposes. When OCR asks for training records, this is the artifact that answers the question.

Embedded and Custom Training Workflows

Beyond the built-in modules, organizations can upload their own training content, covering role-specific PHI handling, for example, and assign it through Drata. This is particularly useful for organizations that already have an LMS but want compliance tracking centralized in one place rather than scattered across systems.

Audit Trails for Workforce Compliance

Drata generates a workforce training register with dates, content versions, and acknowledgements. This is one of the artifacts OCR investigators routinely request, and having it on demand significantly reduces the scramble that typically precedes external reviews.

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Getting Audit-Ready for HIPAA with Drata

There is no formal HIPAA audit in the way SOC 2 or ISO 27001 have audits. What exists is OCR investigation (triggered by complaints or breaches), HIPAA readiness assessments performed by external firms, and the practical reality that customers and partners increasingly demand attestations of HIPAA compliance as a condition of doing business.

How to Configure Drata for HIPAA Readiness

Initial configuration involves selecting HIPAA as a framework, connecting integrations covering all systems that store or process ePHI, customizing the HIPAA-specific policy templates (including the BAA template), assigning control owners, and running the risk analysis module against a complete asset inventory. Most organizations complete initial configuration in 4 to 12 weeks depending on environment complexity.

Evidence Collection and Audit Documentation

Once configured, Drata acts as the single repository for HIPAA evidence: control statuses, policy versions, training completions, risk registers, vendor BAAs, and access reviews. The platform produces auditor-ready exports that can be shared directly with external assessors or counsel, eliminating the document-request back-and-forth that typically adds weeks to an assessment timeline.

Working with a HIPAA Auditor or CPA Firm

Drata supports auditor workspaces where assessors get scoped access to relevant evidence without seeing the broader environment. For organizations pursuing third-party HIPAA attestations or HITRUST CSF certification, which incorporates HIPAA requirements, this collaboration model substantially reduces the friction of traditional document requests.

Insider Note: OCR investigations average 57 months from complaint or breach notice to enforcement action, according to a 2025 review of recent settlements by law firm Shook, Hardy & Bacon. That is nearly five years. The implication: evidence retention matters enormously. Continuous evidence collection through a platform like Drata is materially easier to defend than reconstructed evidence pulled together after an investigation lands.

Drata HIPAA vs. Other Compliance Frameworks

Most organizations that need HIPAA also need SOC 2, and increasingly ISO 27001 or HITRUST as well. Drata’s design assumption is that controls and evidence should be reused across frameworks rather than duplicated, and the efficiency gains compound quickly once you have more than one framework active.

HIPAA and SOC 2: Different End States, Substantial Overlap

HIPAA is a legal obligation enforced by a federal regulator. SOC 2 is a voluntary attestation that demonstrates security posture to customers and prospects. They are not the same thing, but they share significant ground, particularly around access control, encryption, audit logging, and incident response. For a detailed breakdown of how these two frameworks compare structurally, our ISO 27001 vs SOC 2 guide covers the key architectural differences that also inform how HIPAA fits into the picture.

Running Multiple Frameworks Simultaneously

When multiple frameworks are active in Drata, a single control like “MFA is enforced on all administrative accounts” satisfies SOC 2 CC6.1, ISO 27001 A.9.4.2, and HIPAA §164.312(d) at once. One piece of evidence, three framework requirements. This is the single most important reason organizations consolidate on a GRC platform: the multiplier effect on previously duplicated work compounds quickly as your compliance obligations grow. If you are evaluating which automation platform fits your stack, our Drata vs Vanta comparison walks through how the two leading tools differ in practice.

Does Drata support HIPAA compliance?

Yes. HIPAA was added as Drata’s third framework in late 2021 and is one of more than 30 frameworks the platform supports. Coverage includes the Privacy Rule, Security Rule, and Breach Notification Rule, with mapped controls, policy templates, embedded training, and a BAA template.

Drata maintains its own security and compliance posture, including SOC 2 attestation and signed BAAs with customers who need them. Because Drata may process customer-uploaded evidence that contains references to PHI, signing a BAA with Drata is standard practice for healthcare customers and should be treated as a day-one task.

Drata automates evidence collection for most technical safeguards, access control, encryption, audit logging, transmission security, and parts of administrative safeguards, including workforce training records, access reviews, and contingency plan documentation. Physical safeguards in cloud-native environments are often inherited from cloud provider attestations and managed through vendor management workflows.

No, and it is not designed to. HIPAA requires a designated security officer and privacy officer under 45 CFR §164.308 and §164.530. Drata is the operational tooling that those officers use to do their job effectively. The platform reduces administrative load substantially, but accountability for HIPAA compliance still sits with named individuals inside the organization.

Initial readiness typically takes 4 to 12 weeks for a SaaS company or business associate with a modern cloud stack. Larger or more complex environments may take 3 to 6 months. The variable is not Drata; it is how much foundational work, policies, risk analysis, training, BAA inventory, the organization needs to do for the first time. Organizations already compliant with SOC 2 or ISO 27001 in Drata can typically achieve HIPAA readiness substantially faster because of the control overlap.

Yes. Drata signs BAAs with customers when its handling of customer data could touch PHI. Healthcare organizations and business associates should request and execute a BAA with Drata as part of onboarding. The presence of a signed BAA is itself an audit artifact and should be stored in Drata’s vendor management module alongside all other third-party BAAs.

Evidence is collected automatically through integrations, timestamped, and stored centrally. Drata retains evidence consistent with HIPAA’s six-year documentation requirement under 45 CFR §164.316(b)(2). Auditors and assessors can be granted scoped workspace access without exposing the broader environment, and exports are available for any required external review.

OCR’s enforcement priorities have not been subtle: do the risk analysis, manage the risks you find, and document everything in a way that survives a multi-year investigation timeline. Drata is built for that pattern of work. If you want to understand how it fits your specific environment, whether you are a covered entity, a business associate, or a healthcare technology company scaling into enterprise contracts, talk to an expert who can map the right framework strategy to where you actually are.

Axipro Author

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Pedro Dias

Pedro has been writing online for over 10 years. With experience in all things programming, cyber security, and compliance, he is our editor-in-chief at Axipro.

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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

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

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