Who each option is best for, and where either supplier is deliberately narrower.
Vendor comparison
Holistic AI vs Credo AI: capability comparison
A side-by-side comparison of Holistic AI and Credo AI across RoPA, DPIA, vendor risk, AI governance and evidence workflows. Acompli is shown as a third reference column.
Holistic AICredo AIComparison
Which public claims, review signals, caveats and capability rows are evidenced.
How much work it takes to implement, maintain and export the privacy record.
The questions a privacy team should ask before switching or shortlisting.
On this page
Key takeaways
- Holistic AI and Credo AI are compared here on public-documentation capability coverage: Holistic AI is publicly documented for 6 of 20 tracked capabilities, Credo AI for 6.
- Holistic AI and Credo AI have near-identical evidenced coverage across the tracked capabilities; the decision turns on depth, fit and price rather than feature presence.
- Holistic AI's public lane is Enterprise AI-governance platform for AI discovery, inventory, technical risk testing, monitoring and enforcement, aligned to the EU AI Act, NIST AI RMF and ISO 42001; Credo AI's public lane is US enterprise AI-governance, risk and compliance platform for the EU AI Act, NIST AI RMF and ISO 42001.
- Coverage marks reflect what each vendor publicly documents. Confirm live scope, pricing and export formats with each vendor before deciding.
01Short answer
Holistic AI vs Credo AI
Holistic AI is positioned as: Enterprise AI-governance platform for AI discovery, inventory, technical risk testing, monitoring and enforcement, aligned to the EU AI Act, NIST AI RMF and ISO 42001. Credo AI is positioned as: US enterprise AI-governance, risk and compliance platform for the EU AI Act, NIST AI RMF and ISO 42001. Across the tracked capabilities Holistic AI and Credo AI cover much of the same ground, so the decision rests more on operating model, depth and jurisdiction fit than on feature presence.
Holistic AI and Credo AI have the same public-documentation count in this comparison (6 of 20 tracked rows each). Capability coverage below reflects what each vendor publicly documents; Acompli is shown as a third reference column.
02At a glance
Holistic AI vs Credo AI at a glance
| Decision question | Holistic AI | Credo AI | Acompli |
|---|---|---|---|
| Best fit | Enterprises that need to discover, inventory, technically test and monitor AI systems at scale against the EU AI Act, NIST AI RMF and ISO 42001 | Enterprise AI, ML and data-science programmes that need to discover, inventory, test and govern AI systems and agents against the EU AI Act, NIST AI RMF and ISO 42001 | Privacy and governance teams that need first-class EU AI Act governance - a risk-classified AI-system register, conformity and assessment workflow, and human-approved AI-system records - connected to their GDPR programme (RoPA, DPIA, vendor, data mapping) for Ireland/UK/EU |
| Operating model | An end-to-end AI-governance platform: automated AI discovery, live inventory, technical risk testing, continuous monitoring and real-time enforcement | AI-governance, risk and compliance platform: AI registry and discovery, continuous risk intelligence, policy packs, evidence generation and runtime/agent governance | First-class EU AI Act governance - AI-system register, risk classification and conformity/assessment workflow - connected to DPIA and Article 30, each value human-approved and traceable to approved source evidence |
| When to choose it | Choose Holistic AI when the main problem is surfacing shadow AI and proving AI systems are safe, unbiased and compliant through continuous technical testing | Choose Credo AI when the main problem is governing a large estate of AI models and agents against AI-specific frameworks, with model-level discovery, testing and conformity | Choose Acompli when the main problem is defensible EU AI Act compliance - classifying and governing AI systems - kept connected to RoPA, assessments, suppliers and risk decisions, and current after human approval |
- Best for: Large enterprises and regulated organisations deploying many AI models, agents and applications that need to surface shadow AI and prove those systems are safe, unbiased and compliant at scale.
- Deployment: Cloud SaaS AI-governance platform with 20+ integrations across cloud, code repositories, data platforms and SaaS; automated discovery, technical testing, continuous monitoring and runtime enforcement via Guardian Agents.
- Best for: Large enterprises and regulated organisations (financial services, healthcare, public sector) running in-house AI/ML and agent estates that need model-level discovery, testing, policy conformity and audit-ready evidence across AI frameworks.
- Deployment: Cloud SaaS AI-governance platform (with a documented self-hosted option); AI registry, risk intelligence, policy engine, runtime/agent governance and governance AI agents (GAIA), integrated with cloud, MLOps and GRC tooling. Multiple organisations and business units are not supported on a single instance per Credo AI's self-hosted documentation.
05Official source signals
What Holistic AI and Credo AI emphasise publicly
This section uses each vendor's own public positioning as the starting point. It is included so customers can see why the two companies may appear in the same shortlist while still solving different problems.
The capability table remains conservative: "Y" means a capability was publicly documented, while "N" means it was not publicly confirmed in the reviewed material.
Holistic AI official website
Open the official Holistic AI source used to ground this profile.
ExploreCredo AI official website
Open the official Credo AI source used to ground this profile.
Explore| Signal | Holistic AI | Credo AI |
|---|---|---|
| Public positioning | Holistic AI positions itself as an enterprise AI governance platform for AI discovery, inventory, risk, testing and compliance. | Credo AI positions itself as an enterprise AI governance, risk and compliance platform. |
| Main public signals | Official pages emphasise shadow AI discovery, AI inventory, monitoring, AI risk management, LLM testing, bias audits and regulatory alignment.; The product lane is dedicated AI governance rather than general GDPR privacy management.; Holistic AI is strongest where AI model, agent and application oversight is the main procurement requirement. | Official pages emphasise an AI registry, policies, risk workflows, compliance evidence and regulatory alignment.; The public lane includes AI governance proof for frameworks and regulations such as the EU AI Act, NIST AI RMF and ISO 42001.; Credo AI is strongest where AI governance is the primary programme rather than a module inside a privacy platform. |
| Best-fit buyer | Large enterprises and regulated organisations deploying many AI models, agents and applications that need to surface shadow AI and prove those systems are safe, unbiased and compliant at scale | Large enterprises and regulated organisations (financial services, healthcare, public sector) running in-house AI/ML and agent estates that need model-level discovery, testing, policy conformity and audit-ready evidence across AI frameworks |
| Buyer verification | Ask Holistic AI to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. | Ask Credo AI to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. |
06Sourced 2025-2026 signals
What's new at Holistic AI (2025-2026, sourced)
These sourced updates were researched on 2026-07-05 and are listed separately from the live comparison table so existing profile claims remain unchanged.
On 25 June 2026, Holistic AI announced that Vahé Torossian — a 31-year Microsoft veteran (former President of Western Europe and Corporate VP for global SMB/Business Applications), former President/Deputy CEO of Builder.ai, and now a Venture Partner at Tola Capital — has joined its Board of Directors, with Co-CEO Emre Kazim framing it around scaling the platform and deepening enterprise relationships globally.
On 29 September 2025, Holistic AI launched the 'LLM Decision Hub,' a free public resource (hosted at llmleaderboard.ai) that ranks 20+ leading LLMs on performance, safety, coding ability, mathematical reasoning, jailbreak resistance and total cost of ownership, using Holistic AI's own red-teaming and independent benchmark data — a model-selection/benchmarking capability not reflected in the existing capability table, which covers AI governance/registry functions only.
Holistic AI was named one of five vendors in Gartner's 'Cool Vendors for AI Security' report (published ~23 October 2024, announced by the vendor on 7 November 2024) — a separate Gartner recognition from the 4/5 Gartner Peer Insights review rating already cited on the page, and not currently mentioned anywhere in the existing profile.
On 16 December 2024, Holistic AI completed what it and press coverage describe as the world's first independent third-party audit of Wikipedia under the EU Digital Services Act (Wikipedia being one of 23 EU-designated Very Large Online Platforms) — one of only two smaller/specialist firms (alongside FTI Consulting, which audited X) to land a VLOP audit, versus the Big Four firms auditing the rest. This shows Holistic AI has expanded from AI-governance software into independent regulatory-audit services under the DSA, a framework not mentioned anywhere in the existing profile (which cites only EU AI Act, NIST AI RMF and ISO 42001).
07Sourced 2025-2026 signals
What's new at Credo AI (2025-2026, sourced)
These sourced updates were researched on 2026-07-05 and are listed separately from the live comparison table so existing profile claims remain unchanged.
Credo AI's AI governance agent, GAIA (Govern AI Assistant) — described generically in the existing profile as "governance AI agents (GAIA)" — moved from public preview to full general availability in 2026. Per Credo AI's own announcement, GAIA now drafts use-case descriptions/metadata from uploaded documents, suggests governance-questionnaire answers, and recommends risk scenarios and mitigating controls from Credo AI's library, with every suggestion editable/rejectable by a human reviewer (vendor marketing claim).
Credo AI became available in the Microsoft Marketplace in November 2025, with an integration connecting its governance workflows to Azure AI Foundry's technical AI model evaluations — an integration not listed among the integrations already documented in the existing profile (AWS, Azure, GCP, Databricks, Snowflake, MLflow, ServiceNow, Archer, OneTrust).
Credo AI was named No. 6 in the Applied AI category of Fast Company's World's Most Innovative Companies of 2026 (announced March 24, 2026, alongside Google, Nvidia, OpenAI and Anthropic), and separately was named a Gartner Cool Vendor in AI Cybersecurity Governance in 2025 — recognitions not captured in the existing profile, which cites only the Forrester Wave Q3 2025 Leader placement and the 2025 Gartner Market Guide.
Credo AI founder and CEO Navrina Singh was named one of TIME's 100 Most Influential People in AI in 2025 — a leadership-level recognition not reflected in the existing profile, which names her only as founder.
Credo AI's public customers page currently lists a broader named-logo roster than the existing profile's "Mastercard, Autodesk, Booz Allen Hamilton and US federal programmes" — including PepsiCo, Cisco, Chevron, Northrop Grumman, Cigna, Databricks and McKinsey — across 13 listed industries (e.g. Aerospace & Defense, Healthcare & Pharmaceuticals, Financial Services & Banking), reinforcing the large-enterprise/regulated-industry positioning already in the profile.
Distinct from the SOC 2 compliance policy pack Credo AI sells to help its customers achieve their own SOC 2 attestation (already noted in the existing profile), Credo AI states it has independently obtained its own SOC 2 Type II report covering the security, availability and confidentiality of its platform, audited by an AICPA-certified independent service auditor (vendor claim, not independently re-verified here).
An unresolved US trademark dispute exists between Credo Technology Group Holding Ltd (NASDAQ: CRDO, an unrelated semiconductor company) and Credo.AI Corp over use of the "Credo" name, filed in the US District Court for the Northern District of California in 2024 (case 3:24-cv-02032). Related USPTO Trademark Trial and Appeal Board opposition proceedings were still stayed pending the outcome of that civil action as of the most recent filings found (May 2025). This is unrelated to Acompli or GDPR/AI Act compliance but is a factual note on brand/name overlap worth being aware of when citing "Credo" as a company name.
08Overlap and gaps
Holistic AI vs Credo AI: what the public data actually shows
Feature count is only a starting point. A customer should separate shared coverage from unique public signals, then test whether the vendor can run the required workflow end to end.
| Decision point | Public signal | Buyer interpretation |
|---|---|---|
| Shared evidenced coverage | Vendor risk; AI governance; Policy/notice management; Approval workflows; Audit trail; Role-based access control | If your requirement sits here, compare workflow depth, implementation effort, evidence quality and price. |
| Only Holistic AI publicly confirmed | Holistic AI has no unique tracked public capability against Credo AI in this dataset. | Keep Holistic AI on the shortlist for these requirements, but ask Credo AI whether the same capability exists in current product scope. |
| Only Credo AI publicly confirmed | Credo AI has no unique tracked public capability against Holistic AI in this dataset. | Keep Credo AI on the shortlist for these requirements, but ask Holistic AI whether the same capability exists in current product scope. |
| Acompli reference column | DPIA/PIA assessments; RoPA / Article 30; Data mapping; Privacy risk; Retention management; Multi-entity support; Spreadsheet import; plus 1 more | Use this as a third reference point where a narrower evidence-first privacy workflow may be preferable to a broader platform. |
09Capability comparison
Holistic AI vs Credo AI: capability by capability
Each row shows Holistic AI and Credo AI marked Y or N based on public documentation, with Acompli shown in the final column for reference.
| Capability | Holistic AI | Credo AI | Acompli |
|---|---|---|---|
| DPIA/PIA assessments | N | N | Y |
| RoPA / Article 30 | N | N | Y |
| DSAR / privacy rights | N | N | N |
| Data mapping | N | N | Y |
| Vendor risk | Y | Y | Y |
| Privacy risk | N | N | Y |
| AI governance | Y | Y | Y |
| Consent management | N | N | N |
| Cookie/tracker scanning | N | N | N |
| Breach/incident management | N | N | N |
| Retention management | N | N | Y |
| Policy/notice management | Y | Y | N |
| Training module | N | N | N |
| Approval workflows | Y | Y | Y |
| Audit trail | Y | Y | Y |
| Role-based access control | Y | Y | Y |
| Multi-entity support | N | N | Y |
| Spreadsheet import | N | N | Y |
| PDF/CSV/Excel export | N | N | Y |
| Public pricing | N | N | N |
10Where each is stronger
Holistic AI vs Credo AI: the differences that matter
Coverage is close to identical across the tracked rows for Holistic AI and Credo AI, so buyers separate them on depth, integrations and jurisdiction fit rather than which features exist.
- Holistic AI: Automated AI discovery and a live inventory - scanning cloud platforms, code repositories, data platforms and SaaS across 20+ integrations to surface shadow AI and track ownership, lifecycle and business purpose.
- Holistic AI: Deep technical risk testing - 40+ tests for bias, robustness, safety, security and performance, plus red teaming, LLM evaluation and jailbreak-resistance checks.
- Credo AI: Purpose-built AI registry and discovery - inventory of AI systems, agents, models and shadow AI, with a dependency graph across agents, models, tools and data and auto-discovery across cloud environments.
- Credo AI: Continuous, AI-specific risk intelligence - an agentic risk-assessment library, automated red-teaming, drift detection and continuous evaluation of agent traces, well beyond a privacy-ops AI register.
11Customer due diligence
Questions customers should ask before choosing Holistic AI or Credo AI
A useful comparison should move beyond a product page checklist. Customers should ask each supplier to prove the same live workflow, with the same assumptions, so the difference between platform breadth and usable evidence becomes visible.
Run one real workflow
Ask Holistic AI and Credo AI to process the same example: new activity, assessment, RoPA update, supplier evidence, risk record, review and export.
Check evidence provenance
Confirm whether each important field in Holistic AI and Credo AI has a source, owner, review date and change history, not just a completed form.
Validate exports
Ask both vendors for a regulator-readable export for one legal entity, including controller and processor records where relevant.
Confirm commercial scope
Verify which modules, integrations, service hours, data residency options and support commitments are included in the quoted Holistic AI or Credo AI package.
12Shortlisting notes
Choosing between Holistic AI and Credo AI
Weigh Holistic AI and Credo AI on the workflow you must run end to end - RoPA, DPIA, vendor and risk records - and on how defensibly each one exports what it holds.
- Shortlist Holistic AI when the main problem is surfacing shadow AI and proving AI systems are safe, unbiased and compliant through continuous technical testing.
- Shortlist Credo AI when the main problem is governing a large estate of AI models and agents against AI-specific frameworks, with model-level discovery, testing and conformity.
- Ask Holistic AI and Credo AI to run one real scenario end to end - a new processing activity, its assessment, the RoPA update, supplier evidence, the privacy risk and an exportable audit trail - rather than a feature-by-feature demo.
13Ireland & UK
Holistic AI vs Credo AI: Article 30 records for Irish and UK teams
Both Holistic AI and Credo AI are weighed by Irish and UK privacy teams against the same fixed obligation: a record of processing activities under GDPR Article 30 - a controller record under Article 30(1) and a separate processor record under Article 30(2). In Ireland the Data Protection Commission (DPC) publishes Article 30 guidance; in the UK the ICO sets out what UK GDPR requires.
Whichever of Holistic AI or Credo AI an Irish or UK team weighs, the questions are the same: how deep is the Article 30 record, is EU and UK GDPR distinguished on one register, and can each legal entity produce a self-contained export its own supervisory authority can read?
| Article 30 check | Holistic AI | Credo AI | Why customers care |
|---|---|---|---|
| Controller record | Ask Holistic AI to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | Ask Credo AI to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | A controller record must stand on its own when a regulator or auditor asks for it. |
| Processor record | Ask Holistic AI to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Ask Credo AI to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Many tools capture controller records more clearly than processor records; customers should verify both. |
| Ireland and UK fit | Ask Holistic AI how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Ask Credo AI how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Irish DPC and UK ICO expectations are close, but entity scope, local law references and export format still matter. |
| Standalone export | Ask Holistic AI for a complete export that a legal entity could provide without giving the regulator product access. | Ask Credo AI for a complete export that a legal entity could provide without giving the regulator product access. | A defensible record should be readable outside the platform, with enough context to explain the processing activity. |
- Article 30(1) and 30(2) - does each of Holistic AI and Credo AI model controller and processor records separately, scoped by legal entity?
- EU and UK GDPR - can Holistic AI or Credo AI hold both on one register, mapped to what the DPC and ICO expect?
- Export - does Holistic AI or Credo AI let each legal entity produce a stand-alone record its supervisory authority can read without platform access?
Comparison FAQ
Holistic AI vs Credo AI questions answered
Acompli answers
Acompli: the focused alternative to both
Acompli overlap
Related Acompli workflows
Holistic AI vs Acompli
Compare Holistic AI directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleCredo AI vs Acompli
Compare Credo AI directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleAssessments
Run DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with templates, AI support and human approval.
Open moduleRoPA management
Maintain Article 30 records that stay linked to approved assessments, systems, suppliers and transfers.
Open moduleCompare Holistic AI and Credo AI against a real workflow.
Bring one RoPA, DPIA, vendor, risk or AI-governance requirement and map which parts Holistic AI covers, which Credo AI covers, and where each option fits.
Acompli architecture
One governed foundation. Five connected modules.
Imported systems, suppliers, policies, DPIAs and RoPA spreadsheets become the shared evidence model for assessments, risk, records, third-party oversight and data mapping.
- OnboardingImport DPIAs, RoPA spreadsheets, suppliers, systems, policies and documents.
- AssessmentsRun DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with human approval.
- RiskExtract candidate risks from approved evidence and assign treatment plans.
- RoPAMaintain Article 30 records linked to assessments, systems, suppliers and transfers.
- Third-PartyRecord suppliers once, then reference them across assessments, RoPA, risk and maps.
- Data MappingBuild a living view of systems, suppliers, locations, categories and transfers.
Point tools create records. Acompli connects them.