Head-to-head · updated 13 September 2026

DataShield vs Domo: the dashboard got an agent, so who checks what it touched?

Domo calls itself an AI and Data Products platform, and the label fits better than most. Connectors and Magic ETL pull the data in. Dashboards, embedded analytics and App Studio put it in front of people who do not write SQL. Then Agent Catalyst, AI Agent Builder and AI Toolkits let a finance lead ship an agent in an afternoon. G2 has called them a Leader for 34 straight quarters. They are good at the part most vendors are bad at: getting a business user from raw table to working thing.

We do not build dashboards and we never will. DataShield is the governed data plane under the agent. Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Every governed tool call is re-checked against the agent's current authority before it runs, and every decision is sealed into a hash chain you can verify without trusting us. Most teams reading this page should run both. Below is the honest split, including the rows Domo wins.

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The short version

Pick DataShield when

Someone will eventually ask you to prove an agent's access log was not edited. An auditor, an examiner, or Article 12 of the EU AI Act. Our chain answers with math instead of a policy PDF. Run the verifier.
You need to pull an agent's authority mid-session and have the very next tool call fail. Not the next login. The next call.
The data, the keys and the evidence have to sit on your own infrastructure. Domo is SaaS, full stop.
You want a price before you book a call. Ours is published.

Pick Domo when

You need dashboards and embedded analytics that business people actually use. That is Domo's home turf and we have nothing to offer you there.
The people building your agents are analysts, not engineers. Agent Catalyst, AI Agent Builder and the AI Toolkit model are built for exactly that person.
Your buying committee wants certifications on day one: SOC 1, SOC 2, ISO 27001, ISO 27018, HIPAA and HITRUST. We do not have those yet and we say so.
You want one bill for pipelines, BI, apps and AI, with unlimited users on a credit model rather than a seat count.

Bottom line: Domo gets an agent built and in front of the business fast. DataShield decides what that agent may touch and keeps proof of the decision. These are different layers, not rival products, and the buyers who need both usually find out after the first audit question.

Feature by feature

Competitor cells describe what Domo's public site and press releases say as of the date above. If we have mischaracterised something, email support@myorg.ai and we will correct it, credited.

What matters	DataShield	Domo	Edge
BI, dashboards and embedded analytics	None. We have no charting layer, no dashboard builder and no embedded analytics product. A DuckDB engine reads masked golden views over Parquet, which is a query surface, not a BI tool.	The core product and fifteen years of it. Cards, dashboards, embedded analytics, Magic ETL, App Studio, a large connector library.	◇
Agent building for business users	Ours is an MCP surface for agents you already have. There is no drag-and-drop agent builder and no prompt-to-app flow.	Agent Catalyst, launched March 2025, plus AI Agent Builder, AI Toolkits and an AI Library from March 2026. App Catalyst turns a prompt into a pro-code app. A genuinely good on-ramp.	◇
Certifications	None yet. SOC 2 is not certified and we will not imply otherwise. Our compliance work is design mapping with code behind it, not an attestation.	SOC 1, SOC 2, ISO 27001, ISO 27018, HIPAA, HITRUST, GDPR and CCPA, plus annual penetration tests. A HIPAA-compliant environment is a paid add-on.	◇
Audit evidence	SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification returns a three-valued verdict and names the failure: tampering, insertion, deletion or truncation. Try the verifier.	Their security page lists extensive logging and monitoring of network, system and application events. We found no published tamper-evidence mechanism for those logs.	◆
Agent authorization	Every governed tool call passes a token scope ceiling, a consented-tool allowlist, a declared authority tier and a live revocation re-check before dispatch. It fails closed.	AI Toolkits define what an agent can do, and assigning a toolkit controls the actions and systems it reaches. That is a design-time grant. We found no per-call decision point described in public material.	◆
Break-glass	Scoped, time-boxed emergency access for agents. It auto-revokes, needs step-up plus an IP allowlist, and cannot be quietly deleted from the log.	Not described in their public material.	◆
GDPR erasure	Crypto-shred of per-subject key material plus ISO 27560 consent receipts. Actor identities in the chain are HMAC-committed, so the evidence still verifies after the subject is gone.	BYOK, and revoking your key makes everything in the instance unreadable at once. That is real crypto-erase, but it is an all-or-nothing lever, not a per-subject one.	◆
Tokenization and masking	Deterministic, join-preserving, vault-reversible tokens applied at ingest, plus quasi-identifier generalization (dates to year, decade or age band; ZIPs to 3 or 4 digits; partial phones, SSNs and emails) with a measured cardinality-reduction score per column. Both are features you switch on, not defaults.	Row-level permissions, encryption in transit and at rest, BYOK. Tokenization is not vocabulary they use.	◆
Sensitive field classification	129 built-in field classes covering PII, PHI, financial data and secrets, including all 18 HIPAA Safe Harbor identifiers. Regex plus checksum validation, column-name lexicons and anti-pattern suppressors, with reproducible verdicts stamped by a config digest. No model, so no drift.	Data governance features and a Domo Schema release in May 2026. We found no published field-level PII or PHI classifier library.	◆
MCP and agents	More than 200 MCP tools across Ontology, Auth, Corpus and Lighthouse. Auth issues MCP tool tokens with scope ceilings, meters each call, and attributes it to the agent.	The Domo MCP Server shipped in March 2026 and exposes AI Toolkits to Claude and Gemini. A separate Domo Essentials MCP was listed as Beta in May 2026. Real, and newer than ours.	◆
Deployment and hosting	Self-hosted in your own cloud or data center, or a dedicated single-tenant server we operate. Docker images ship for Auth, Ontology, Corpus and Lighthouse, with a signed deploy manifest Guardian verifies. Ed25519 audit-signing keys can live in your KMS or HSM. HMAC tokenization keys sit in your environment or derive from your machine key today, not in a KMS.	SaaS only. AWS PrivateLink and a Canadian data centre are available, and they sell through the AWS, Azure and Google marketplaces, but your data lives in Domo Cloud.	◆
Pricing	Published model, scoped instant quote, no sales wall.	Credit-based consumption with unlimited users and a 30-day free trial, which is a fair model. The credit rates and the actual bill are behind a demo request.	◆

◆ DataShield leads◇ Domo leads◈ comparable

Domo claims are drawn from domo.com, Domo's own press releases and Domo's SEC filings, last checked 13 September 2026. We link them below rather than work from memory.

Three things you get here that you won't get from a BI platform

Proof that survives an audit

A log that can be silently edited proves nothing. Ours is a hash chain with signed checkpoints, and the verifier tells you what broke, not just that something did. That is the property EU AI Act Article 12 and HIPAA §164.312(b) reviewers care about. Try it in your browser, no signup.

Authority that can change mid-flight

An analyst leaves on a Friday. Their agent is still 20 minutes into a 40-minute job over your patient data. With DataShield the next governed tool call is re-checked against current authority and fails closed. A design-time toolkit grant does not do that. How Auth does it.

Data that arrives already governed

Fields get classified against 129 classes before an agent sees them, masked views are the read path, and tokens keep joins working across datasets. Your BI layer stays useful. The sensitive values stop travelling. What Ontology does.

Where Domo is genuinely stronger

Let us be plain. Domo has been shipping since 2010, did roughly $318M of revenue in FY2026, and has a customer base we cannot pretend to match. The product does a hard thing well: it takes a person who thinks in spreadsheets and hands them a working dashboard, then an embedded app, then an agent. Agent Catalyst in March 2025 and AI Agent Builder in March 2026 were not slideware, and the AI Toolkit idea, where a packaged set of tools and business context defines what an agent may do, is a clean design. Their certification list is long and ours is empty. Their BYOK story, where revoking your key makes the instance unreadable, is better than most SaaS vendors manage.

Here is the push-back. A toolkit grant is a decision made once, at build time, by the person building the agent. It answers what the agent was allowed to do in March. It does not answer what the agent actually did in March, whether that was still allowed by Friday, or how you would show an examiner the answer was not written after the fact. Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations rather than attacks, which is exactly the case a build-time grant and a monitored log handle worst. There is a second thing worth saying out loud: in July 2026 Domo agreed to sell substantially all of its assets to Progress Software for $400M, with the listed shell keeping the tax losses and a new ticker. Progress has said it intends to keep serving Domo customers. It may well go fine. It is still a reasonable moment to ask where your evidence lives, and whether it is portable.

Questions worth asking both of us

These are the questions we would want answered if we were the ones buying. Ask them on every call, ours included.

Can you cryptographically prove an audit log entry wasn't deleted?

DataShield: yes. Each record commits to the one before it, checkpoints are signed and chained, and verification tells deletion apart from truncation and from tampering. Run it against a sample chain at /verify. Domo: their security page describes extensive logging and monitoring. We found no published tamper-evidence mechanism. Ask them to show one, and ask who can edit the log.

What happens to a revoked agent mid-session?

DataShield re-checks authority on every governed tool call, so revocation lands on the next call rather than the next login. Domo controls what an agent can reach by assigning AI Toolkits, which is a grant made when the agent is built. We could not find a mid-session revocation mechanism in their public docs. Ask how long a compromised agent keeps working after you pull its access.

How does GDPR erasure interact with the audit trail?

DataShield crypto-shreds the per-subject key material and issues an ISO 27560 consent receipt. Actor identities in the chain are HMAC-committed, so the evidence still verifies once the subject is gone. Domo offers BYOK, and revoking your key makes the whole instance unreadable, which is genuine crypto-erase but at instance scale. Ask them how you erase one data subject on a Tuesday without taking the rest of the estate dark.

Is DataShield a BI tool? Do we drop Domo?

No, and no. We draw no charts, build no dashboards and run no embedded analytics. If the job is getting numbers in front of people, buy a BI platform. Run us for the datasets agents actually read and write, where the obligation is authorization and evidence. Plenty of teams will sensibly run both, with Domo on top and the governed data plane underneath.

Domo ships an MCP server too. What's different?

Theirs, launched March 2026, exposes AI Toolkits so Claude or Gemini can call Domo capabilities. That is a good way to reach a BI platform from outside. Ours is where the governed data itself is queried: the tool token carries a scope ceiling, the call is authorized and metered before dispatch, and the decision is sealed into the chain. Different jobs. Ask both of us the same question, which is what an examiner sees after the agent has run for six months.

Does DataShield have SOC 2?

Not yet, and we will not imply otherwise. Domo has SOC 1, SOC 2, ISO 27001, ISO 27018, HIPAA and HITRUST; on paperwork they beat us outright. What we offer instead is a public threat model, a verifier anyone can run, and mechanisms you can check in an afternoon. Auth is live in production, Guardian and Lighthouse since April 2026. Design-partner terms include source escrow, so a small vendor is not a single point of failure. Details on the security page.

Progress Software agreed on 22 July 2026 to acquire substantially all of Domo's assets and employees for $400 million in cash, with the listed holding company renaming and keeping more than $900M of tax losses. — Progress Software blog, 22 Jul 2026
The asset purchase agreement and its terms as filed with the SEC. — Domo Inc. Form 8-K, 22 Jul 2026
Domo's board opened a formal strategic-alternatives process and reaffirmed FY2026 revenue guidance of $317.5M to $318.5M. — Domo Inc. Form 8-K, 19 Feb 2026
AI Agent Builder, AI Toolkits, the AI Library and the Domo MCP Server launched at Domopalooza on 25 March 2026; toolkits "allow organizations to control the actions and systems those agents can access" and can be exposed externally over MCP. — Domo press release, 25 Mar 2026
Agent Catalyst launched 20 March 2025 to build agents that "independently analyze and complete entire business processes." — Domo press release, 20 Mar 2025
Current certifications listed as SOC 1, SOC 2, ISO 27001, ISO 27018, HIPAA, HITRUST, GDPR and CCPA, with BYOK where revoking your keys makes all data in the instance immediately unreadable. — domo.com security page, 13 Sep 2026

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