DPIA Automation Tools: 8 GDPR Screening Platforms for 2026

Last updated: 24 October 2026

A DPIA automation tool screens processing activities against the triggers for a data protection impact assessment (DPIA), scores the risk and carries the assessment through review and approval. GDPR Article 35(1) requires a DPIA "prior to the processing" wherever processing is "likely to result in a high risk to the rights and freedoms of natural persons".

We think a DPIA is only as accurate as the data inventory behind it. A screening tool that asks people to describe systems from memory will score what they remember. Our India-focused DPIA platforms roundup covers Indian vendors not listed here, and our step by step DPIA guide covers running one.

This roundup covers eight tools in alphabetical order, described only from each vendor's public pages, for DPOs and privacy leads running GDPR assessments and preparing for the DPDP Rules. Disclosure: IQWorks makes ComplyIQ, one of the tools below.

TL;DR

Nothing here is ranked. Each line, in alphabetical order, pairs a situation with what that vendor's own page says.

• BigID, if you already use, or plan to use, BigID discovery. Its page says it "automatically enriches assessments with discovered data".
• Clarip, if you want template-led screening with branching. Its page supports "complex branching rules based on assessment answers in one or more assessments".
• IQWorks ComplyIQ, if you are subject to GDPR and the DPDP Act and want screening filled from discovered data. The use case page says ComplyIQ "pre-populates the DPIA screening" and "screens across GDPR and DPDP Act from one workflow".
• OneTrust, if you run several OneTrust modules and want new assets to trigger assessments. Its page connects to identity, cloud and configuration management systems "to continuously detect data assets and trigger downstream privacy management workflows".
• Osano, if you want standards based templates with due date reminders. Its page offers "pre-built templates based on industry standards like ISO and NIST".
• Relyance AI, if code and infrastructure changes should open assessments. Its page says "New data use is caught early and opens an assessment that is mostly filled in".
• Securiti, if you run several frameworks and want one assessment mapped to many. Its page offers requirement mapping so you can "audit once and comply with many regulations".
• TrustArc, if you need recurring assessments on a schedule. Its page offers configurable revalidation cycles that re-run recurring assessments.

At a glance

All entries summarise the linked vendor pages as checked on 23 October 2026. The law column also draws on each vendor's other product and solution pages, checked on 24 October 2026.

Where privacy teams struggle with DPIA screening

1. Two kinds of trigger. GDPR Article 35 looks at the processing activity, while the DPDP Act looks at whether you have been notified as a Significant Data Fiduciary (s.10(1)), so one tool may have to run both tests.
2. The description. Article 35(7)(a) needs a systematic description of the processing and its purposes, and a questionnaire answered from memory gives you a description built on what people recall.
3. The judgement calls. Necessity and proportionality (Art. 35(7)(b)), the DPO's advice where one is designated (Art. 35(2)) and the decision on prior consultation (Art. 36(1)) stay with people, whatever the tool automates.

How we chose for GDPR and DPDP teams

We checked every tool, ComplyIQ included, for five signals:

1. Screening logic: conditional questions, branching and rules that decide whether a full DPIA is needed (Art. 35(1) and (3), WP29 criteria).
2. Data awareness: whether answers come from a data map, inventory or discovered data, because Art. 35(7)(a) needs an accurate description.
3. Risk scoring: how risk is rated and whether it is repeatable (Art. 35(7)(c)).
4. Approvals and audit trail: routing, sign-off, change history and reminders, for accountability and Rule 13(2) reporting.
5. Multi-regulation coverage: which laws the page names, and whether one assessment can map to several, for GDPR and DPDP in one programme.

Where a page says nothing on a signal, we say "not stated", and each entry's demo questions cover what the page leaves out.

We read each vendor's own assessment or privacy automation page on 23 October 2026 and its other product and solution pages on 24 October 2026, and described only what they say. We did not run hands-on tests. Marketing figures are left out, and so are pricing, reviews and customer names, which we did not source. The "Right for" and "Not right if" lines are our reading of each page. For laws, we list what the assessment page names and, separately, what the vendor's other product and solution pages name. A law counts as named for a vendor, IQWorks ComplyIQ included, only if one of that vendor's product or solution pages says the product supports it. Menus and educational articles don't count, and neither do use-case pages, help centre articles or release notes. Capabilities below are quoted or paraphrased from the linked vendor page as it read on 23 October 2026.

1. BigID

BigID is a data discovery and governance vendor with a privacy impact assessment app tied to its data intelligence.

Assessment capabilities

The BigID privacy impact assessment page offers PIA, DPIA, AI, vendor, product and processing activity templates that can be customised "by region, team, regulation, or use case". Assessments link to "business processes, data owners, data stores, transfers, systems, and RoPA records". Its risk routing will "trigger follow-up assessments, approvals, and risk reviews based on AI use, sensitive data, data transfers, or rights impact". It says it "automatically enriches assessments with discovered data" and tracks remediation. The page names GDPR only in its FAQ definition of a DPIA. BigID's privacy and compliance solution page names GDPR, CCPA/CPRA, LGPD, PIPEDA and the EU AI Act. Its LGPD compliance page says BigID "helps organizations support Brazil LGPD compliance", and its pages on CCPA, CPRA, PIPEDA, South Africa's POPIA, Saudi and UAE PDPL, Singapore and Thailand PDPA, Virginia VCDPA, HIPAA and GLBA make the same kind of claim for each law. Its India page, titled PDPB, describes "automated data discovery, cross-border data tracking, rights fulfillment, and retention enforcement".

Questions for the demo

Show a screening that maps answers to the nine WP29 criteria; show how a DPDP SDF's twelve month cycle would be scheduled; show the change history on one assessment.

Summary

Right for: teams that already use, or plan to use, BigID discovery and want assessments fed from it.

Not right if: you don't run BigID discovery and don't plan to; the page's main point is assessments enriched from it, so start with the template-led entries such as Clarip or Osano.

2. Clarip

Clarip is a privacy governance vendor with a PIA and DPIA module.

Assessment capabilities

The Clarip privacy impact assessments page covers PIA, DPIA and vendor risk assessments with pre-built templates. You can "set custom routing rules based on answers", and it supports "complex branching rules based on assessment answers in one or more assessments". It offers "built-in support for DPIAs covering global privacy regulation" and a place to collaborate on and track internal assessments. Clarip's site menu also lists Automated Data Mapping and Data Discovery, though the PIA page does not say whether they feed assessments. No law is named in the page body. Clarip's regulation pages cover CCPA and CPRA, GDPR, Virginia's CDPA, Colorado's CPA, China's PIPL and LGPD, and its other privacy regulations page lists India's DPDPA, PIPEDA, APPI, PDPA, POPIA, HIPAA and GLBA among the laws Clarip "operationalizes".

Questions for the demo

How screening outcomes are recorded when no DPIA is needed; whether answers can be pre-filled from any data source; how approvals are logged.

Summary

Right for: teams that want template-led screening with branching and routing rules on answers.

Not right if: you need pre-fill from discovered data confirmed on the vendor's page; BigID, ComplyIQ and Relyance AI say so on theirs, so ask Clarip to show its data map feeding a screening.

3. IQWorks ComplyIQ

Disclosure: IQWorks makes ComplyIQ. Its entry uses the same method as the others: our own public pages, checked on 23 October 2026.

ComplyIQ is the privacy compliance product in the IQWorks platform, which shares a data model with DiscoverIQ for discovery and ClassifyIQ for classification.

Assessment capabilities

The automated DPIA screening use case says ComplyIQ "pre-populates the DPIA screening" from data activities already discovered and classified, covering "the processing purpose, the data categories, and the systems involved". Rule-based scoring "produces repeatable risk ratings", flagging which activities need a full assessment. It surfaces privacy by design mitigations early, and "multi-step approval with field-level change tracking records who changed what and when". The page says "ComplyIQ screens across GDPR and DPDP Act from one workflow". The ComplyIQ product overview names the DPDP Act, GDPR, PDPL, CCPA and LGPD among the laws it supports, and lists DPIAs alongside vendor privacy risk assessments, GAP assessments and compliance audits, each with "AI-powered autofill and customizable report templates", and multi-step approval flows with deadline reminders.

Source: IQWorks, Automated DPIA screening use case, iqworks.ai/use-cases/complyiq-automated-dpia-screening

Questions for the demo

Show which WP29 criteria the scoring rules test; show a screening pre-filled from a real data activity; show the approval history export.

Summary

Right for: teams subject to GDPR and the DPDP Act that want screening filled from discovered data.

Not right if: you have no inventory or discovery in place yet. The use case page describes pre-populating the screening from data activities already discovered and classified.

4. OneTrust

OneTrust is a broad privacy and trust platform whose privacy operations product includes assessment automation.

Assessment capabilities

The OneTrust privacy operations page says it will "automate privacy impact, vendor, and AI risk assessments (PIA, DPIA, TIA, etc.) and manage risk mitigation workflows". It connects to identity and access management services, cloud providers and configuration management databases "to continuously detect data assets and trigger downstream privacy management workflows", and auto-generates a record of processing activities. The product copy names no law. OneTrust's India DPDPA solution page offers "built-in control frameworks mapped to the DPDPA", and its other solution pages include GDPR, CCPA and CPRA, US state laws, LGPD, PIPEDA, POPIA, Saudi Arabia's PDPL, HIPAA and the EU AI Act.

Questions for the demo

Show a new data asset triggering a DPIA screening; show how screening rules are configured; show a DPDP assessment template.

Summary

Right for: organisations running several OneTrust modules that want new assets to trigger assessments.

Not right if: you don't run other OneTrust modules; the page's triggers come from assets detected across OneTrust's own platform, so a template-led tool such as Clarip or Osano is the simpler start.

5. Osano

Osano is a privacy platform with a privacy assessments product.

Assessment capabilities

The Osano privacy assessments page offers "pre-built templates based on industry standards like ISO and NIST" or custom assessments, covering DPIAs, records of processing activities and vendor assessments. It has assignable questions, and reminds assignees automatically when an assessment nears its due date. Its FAQ says DPIA software "automates and standardizes the assessment process required by laws like GDPR Article 35", that its DPIA and PIA frameworks align with GDPR, UK ICO guidance and other global standards and can be configured by jurisdiction, and that assessments integrate with its data mapping, DSAR, consent and vendor tools. Osano's solution pages cover GDPR, CCPA, CPRA, LGPD and US state laws; its DPDPA material is in educational articles.

Questions for the demo

How screening decides that a full DPIA is needed; whether data mapping fills answers or only links to them; how versions and approvals are recorded.

Summary

Right for: teams that want ISO or NIST based templates, assignable questions and due date reminders, linked to Osano's data mapping.

Not right if: you want assessments opened by engineering or infrastructure changes; the page describes assigned templates and reminders, so look at Relyance AI or OneTrust for triggers.

6. Relyance AI

Relyance AI is a privacy automation vendor that builds records and assessments from how data moves in code, cloud and apps.

Assessment capabilities

The Relyance privacy automation page says it "reads your code, cloud and apps once, then keeps watching", matching each flow of personal data to a purpose, a legal basis and the laws that apply. "New data use is caught early and opens an assessment that is mostly filled in", and "answers come from the data map". Questions only a person can answer "go to the right owner", "finished reviews are signed and saved as proof", and templates can be made from an uploaded PDF. It names GDPR and CCPA, and its policy centre example also shows LGPD. It is a use case page, which our rule does not count, and we found no Relyance product or solution pages on laws.

Questions for the demo

Show a new data flow opening a DPIA screening; show which WP29 criteria the pre-filled answers cover; show how a DPDP assessment would be set up.

Summary

Right for: engineering-heavy teams that want assessments opened by code and infrastructure changes.

Not right if: you want questionnaire-led assessments without connecting code or cloud; the page builds answers from its data map, so start with Clarip or Osano.

7. Securiti

Securiti is a data security and governance vendor with an assessment automation product.

Assessment capabilities

The Securiti assessment automation page covers RoPA reports, PIAs and DPIAs "aligning with global privacy regulations", with "integrated triggers to dynamically update assessments". It offers flexible templates, imports and custom templates, a central assessment repository, progress tracking and requirement mapping so you can "audit once and comply with many regulations". No law is named in the page body. Securiti's DPDP Act solution page has a section headed "Automate DPIAs and Risk Assessments", and its other solution pages include GDPR, UK GDPR, CCPA, CPRA, LGPD, PIPEDA, PIPL, Japan's APPI, the Saudi PDPL, the EU AI Act and US state laws.

Questions for the demo

What the integrated triggers watch; show requirement mapping for GDPR Art. 35 and DPDP s.10(2)(c)(i) together; show the approval trail.

Summary

Right for: teams that run several frameworks and want one assessment mapped to many.

Not right if: you want answers fed from your inventory shown before a demo; the page describes "integrated triggers to dynamically update assessments", so ask Securiti what they watch.

8. TrustArc

TrustArc is a privacy management vendor whose Assessment Manager runs privacy and vendor assessments.

Assessment capabilities

The TrustArc Assessment Manager page offers configurable templates, including ready-made DPIAs, PIAs, transfer impact assessments, vendor risk and AI risk reviews. "Conditional logic surfaces only the questions each respondent needs to answer", responses generate remediation tasks, and approval routing is "driven by predefined rules". Configurable revalidation cycles re-run recurring assessments on schedule. For risk scoring it pairs with TrustArc's Data Mapping & Risk Manager, and Arc Intelligence drafts responses from its Evidence Library. The page says it "can be used with any jurisdiction such as GDPR and CCPA". TrustArc's India DPDP Act solution page says you can "Use pre-built templates to conduct and document DPIAs, PIAs, TIAs, and security risk assessments", and that TrustArc supports "DPDP Act, GDPR, CCPA, and other regulations". TrustArc's PrivacyCentral page lists the EU AI Act, PIPEDA, Quebec Law 25, LGPD and US state laws among the "140+ standards" it covers.

Questions for the demo

Show a revalidation cycle set to twelve months; show how risk scoring works without the Data Mapping & Risk Manager; show a DPDP template.

Summary

Right for: teams that need recurring assessments on a schedule, which suits a DPDP twelve month cycle.

Not right if: you want risk scoring inside the Assessment Manager on its own. The page pairs it with TrustArc's Data Mapping & Risk Manager for scoring.

When a DPIA is required under GDPR and the DPDP Act

The two laws trigger a DPIA differently: GDPR looks at the processing activity, and the DPDP Act looks at whether you have been notified as a Significant Data Fiduciary.

GDPR Article 35

Article 35(1) requires the controller (the organisation that decides the purposes and means of processing) to assess the impact of envisaged processing "prior to the processing" where it is likely to result in a high risk, "in particular using new technologies" (GDPR Art. 35, EUR-Lex). A single assessment may cover a set of similar operations with similar high risks.

Article 35(3) says a DPIA is required "in particular" for:

• (a) a systematic and extensive evaluation of personal aspects based on automated processing, including profiling, on which decisions with legal or similarly significant effects are based;
• (b) processing on a large scale of special categories of data (Art. 9(1)) or of data on criminal convictions and offences (Art. 10);
• (c) systematic monitoring of a publicly accessible area on a large scale.

Article 35(4) requires each supervisory authority to publish a list of processing that needs a DPIA, so a screening tool should hold the lists for the countries you operate in.

Source: GDPR, Regulation (EU) 2016/679, Article 35(1) to (4) (EUR-Lex, Official Journal L 119, p. 53)

Article 35(7) sets the minimum contents: a systematic description of the processing and its purposes, an assessment of necessity and proportionality, an assessment of the risks to data subjects (the people the data is about), and the measures to address those risks. Where the DPIA shows residual high risk, meaning the processing would result in a high risk without measures by the controller to mitigate it, Article 36(1) requires prior consultation with the supervisory authority.

Source: GDPR, Regulation (EU) 2016/679, Article 35(7) (EUR-Lex, Official Journal L 119, p. 54)

DPDP Act section 10 and Rule 13

The DPDP Act ties the DPIA to status. The Central Government may notify a Data Fiduciary (the organisation that decides why and how personal data is processed) as a Significant Data Fiduciary, or SDF, based on factors that include the volume and sensitivity of personal data and the risk to the rights of Data Principals, the people the data is about (s.10(1)). From 13 May 2027 (G.S.R. 843(E), clause (c)), an SDF must undertake a "periodic Data Protection Impact Assessment, which shall be a process comprising a description of the rights of Data Principals and the purpose of processing of their personal data, assessment and management of the risk to the rights of the Data Principals" (DPDP Act, 2023, s.10(2)(c)(i), MeitY). The Act sets no DPIA duty for other Data Fiduciaries.

Source: Digital Personal Data Protection Act, 2023, Section 10(2)(c), clause (c) shown without the s.10(2) lead-in (MeitY, p. 9)

Rule 13 adds the mechanics (DPDP Rules, 2025, Rule 13, MeitY):

• Rule 13(1): an SDF must undertake a DPIA and an audit "once in every period of twelve months" from the date it is notified, or included in a notified class.
• Rule 13(2): the person carrying out the DPIA and audit must give the Data Protection Board of India "a report containing significant observations".
• Rule 13(3): an SDF must observe due diligence to verify that technical measures, "including algorithmic software", used for handling personal data are not likely to pose a risk to the rights of Data Principals.

The DPDP Rules, 2025 (G.S.R. 846(E)) were notified in the Gazette dated 13 November 2025. Rules 3, 5 to 16, 22 and 23 come into force on 13 May 2027 (Rule 1(4)), and that group includes Rule 13. Breach of the additional SDF obligations under s.10 is entry 4 of the Schedule to the Act, up to ₹150 crore (p. 21).

Rule 13(1) counts the twelve months "from the date on which it is notified as such or is included in the class of Data Fiduciaries notified as such", and the Rules do not say how that works for a Significant Data Fiduciary notified before Rule 13 comes into force. Rule 13(3) sets the due diligence duty on algorithmic software in its own sub-rule and does not say whether that check must form part of the DPIA. Check this with your legal counsel for your setup.

Source: Digital Personal Data Protection Rules, 2025, Rule 13(1) to (3) (MeitY, G.S.R. 846(E), p. 29)

Our guide to DPDP role duties covers which office leads a DPIA.

What DPIA screening is

Screening is the triage step before a full DPIA. It asks whether a processing activity meets the triggers, records the answer and the reasons, and sends the activity either to a full assessment or to a documented "no DPIA needed" outcome.

The criteria most tools build on come from the Article 29 Working Party's DPIA guidelines, wp248 rev.01, last revised on 4 October 2017 (WP29 DPIA guidelines). The European Data Protection Board endorsed them on 25 May 2018 in Endorsement 1/2018 (EDPB Endorsement 1/2018). The guidelines list nine criteria:

1. Evaluation or scoring, including profiling and predicting.
2. Automated decision making with legal or similar significant effect.
3. Systematic monitoring.
4. Sensitive data or data of a highly personal nature.
5. Data processed on a large scale.
6. Matching or combining datasets.
7. Data concerning vulnerable data subjects.
8. Innovative use or applying new technological or organisational solutions.
9. Processing that prevents data subjects from exercising a right or using a service or a contract.

The guidelines say that "in most cases, a data controller can consider that a processing meeting two criteria would require a DPIA", and that in some cases one criterion is enough.

What software can do well: pull the purpose, data categories, systems, recipients and transfers from your inventory; apply the criteria and national lists as rules; flag activities that meet one or two; route the flagged ones to owners; send reminders; and keep a history of every answer and change.

What stays with people: deciding whether processing is "large scale" in context, judging necessity and proportionality (Art. 35(7)(b)), deciding whether the mitigations are enough, deciding whether Article 36 consultation is needed, and taking the DPO's advice, which Art. 35(2) requires where a DPO is designated.

Record the lawful basis during screening too. Where consent is the basis under the DPDP Act, from 13 May 2027 s.6(10) puts the burden of proving notice and consent on the Data Fiduciary; our guide to proving valid consent under India's DPDP Act covers that evidence.

Reusable screening rules

These rules restate the legal triggers and the WP29 criteria as yes or no questions. Load them into whichever tool you choose.

A record of processing that stays current makes these rules far easier to answer; see our guide to a RoPA that stays audit ready.

How to choose by team profile

GDPR-only mid-size team. Templates, branching and reminders may be enough. Check that a "no DPIA needed" outcome is recorded with its reasons, and that national Art. 35(4) lists can be loaded.

Multinational with India operations expecting SDF notification. You need GDPR screening per activity and a DPDP cycle per entity, every twelve months, with a report of significant observations for the Data Protection Board. Ask how one tool runs both, and look at our multi-regulation compliance use case for how shared controls can serve several laws.

Team that already has an inventory tool. Ask whether answers are filled from that inventory or only linked to it. A tool that reads purpose, data categories and systems from the inventory gives you the Art. 35(7)(a) description without retyping.

Team with no inventory. Start with a questionnaire tool with good branching, and build the inventory in parallel. Our post on rethinking the DPIA with a data driven approach explains why the inventory matters.

Questions to ask in every demo:

• Show a screening that tests all nine WP29 criteria and records the result.
• Show how the tool decides between a full DPIA and a documented "no DPIA" outcome.
• Show where the purpose, data categories and systems come from.
• Show the DPO advice step required by Art. 35(2).
• Show the approval history for one assessment, with every change.
• Show a twelve month DPDP cycle and the report output for the Data Protection Board.

Checklist before you buy

• Screening tests Art. 35(3)(a) to (c) and the nine WP29 criteria.
• National Art. 35(4) lists can be loaded for each country you operate in.
• A "no DPIA needed" outcome is recorded with reasons.
• Answers on purpose, data categories and systems come from your inventory.
• Risk scoring is rule-based and repeatable.
• Full DPIAs cover each Art. 35(7) element.
• The DPO's advice is captured where a DPO is designated (Art. 35(2)).
• Assessments are reviewed when the risk changes (Art. 35(11)).
• High residual risk raises an Art. 36 prior consultation task.
• For SDFs, the DPIA and audit run once in every twelve months (Rule 13(1)).
• The tool produces a report of significant observations for the Data Protection Board (Rule 13(2)).
• Approvals and every change are logged with who and when.

Choosing a DPIA automation tool

Decide first which law drives your assessments. Under GDPR, screen every new or changed activity against Art. 35(3), your national Art. 35(4) lists and the nine WP29 criteria. Under the DPDP Act, plan a twelve month DPIA and audit cycle with a report for the Data Protection Board only if you are notified as an SDF, from 13 May 2027. Then test each tool on one real activity and check where its answers come from. A screening filled from a current inventory is easier to defend than one filled from memory.

See how ComplyIQ screens a processing activity

FAQ

When is a DPIA mandatory under GDPR?

Before processing that is likely to result in a high risk to people's rights and freedoms (Art. 35(1)). Article 35(3) names three cases: systematic and extensive automated evaluation with significant effects, large-scale special category or criminal offence data, and large-scale monitoring of public areas. National lists under Art. 35(4) add more, and WP29 suggests two of its nine criteria usually means a DPIA.

Does the DPDP Act require a DPIA?

Only for a Significant Data Fiduciary notified by the Central Government. Section 10(2)(c)(i) requires a periodic DPIA covering Data Principals' rights, the purpose of processing and the management of risk to those rights. Rule 13(1) sets the cycle at once in every twelve months from notification, and both s.10 and Rule 13 apply from 13 May 2027. Other Data Fiduciaries have no DPIA duty under the Act.

Can DPIA screening be fully automated?

The triage can be largely automated if the tool reads from a current inventory and applies clear rules. The judgement calls stay with people. Article 35(7)(b) needs an assessment of necessity and proportionality, Art. 35(2) needs the DPO's advice where one is designated, and Art. 36(1) needs a decision on prior consultation. Keep a named reviewer on every screening outcome.

What is the difference between a DPIA and a PIA?

A DPIA is the assessment defined in law: GDPR Art. 35 for likely high-risk processing and DPDP s.10(2)(c)(i) for Significant Data Fiduciaries. "PIA", or privacy impact assessment, is a broader industry term that neither text uses. Many tools offer both templates. Our DPIA vs PIA comparison explains when each is the right tool.

What must a DPIA contain under GDPR Article 35(7)?

At least four things: a systematic description of the processing and its purposes, including any legitimate interest pursued; an assessment of necessity and proportionality; an assessment of the risks to data subjects' rights and freedoms; and the measures to address those risks, including safeguards and security measures. A screening tool should carry its findings into each of these sections.

Who reviews a DPIA under the DPDP Act?

From 13 May 2027, Rule 13(2) requires an SDF to have the person carrying out the DPIA and audit give the Data Protection Board "a report containing significant observations". Section 10(2)(a) requires its DPO to be based in India and to be "an individual responsible to the Board of Directors or similar governing body". Neither provision names an internal approver for the DPIA, so agree the internal sign-off with counsel.

Related reading

For the design work that comes before screening, see privacy by design as a system property. For assessments of AI systems, read how AI governance builds on DPIA screening.