Head-to-head · updated 13 September 2026

DataShield vs BigID: after DSPM finds the data, who stops the agent?

BigID named the DSPM category and still runs it well. Point them at a messy data estate and they will tell you what is in it: thousands of classifiers, every store from Snowflake to the S3 bucket nobody admits to owning, plus the privacy machinery for DSARs, RoPA, and consent. Forrester made them a Leader in sensitive data discovery in April 2026. That is earned, and we are not going to argue with it.

We do not do discovery. DataShield is not a DSPM tool and we will not pretend to be one. We start where the scan stops. Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Every governed tool call is checked against the agent's authority right then, and every decision is sealed into a hash chain you can verify without trusting us. Below is the honest split, including the rows BigID wins.

DataShield vs BigID at a glanceEight questions regulated buyers ask us. Scored from each vendor's public material. DataShield vs BigID at a glance Eight questions regulated buyers ask us. Scored from each vendor's public material. DataShield BigID Tamper-evident audit chain you can verify Authority re-checked on every tool call Break-glass access for agents GDPR erasure that keeps the chain valid Pricing you can see before a call Sensitive data discovery across the estate Privacy automation: DSAR, RoPA, consent Federal and air-gapped track record shipped partial / roadmap not offered Sources at the bottom of this page.

The short version

Pick DataShield when

  • Someone will eventually ask you to prove an agent's access log was not edited. An examiner, an auditor, 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 token refresh. The next call.
  • The vault, the policy engine, and the evidence all have to run on your own infrastructure, on keys you hold.
  • You would like to see a price before you book a call.

Pick BigID when

  • You genuinely do not know where your sensitive data lives. That is the job BigID was built for, and it is not one we do at all.
  • The privacy office is buying. DSAR workflow, records of processing, retention, and their standalone consent platform are a real product line, not a checkbox.
  • You are federal. They are pushing FedRAMP with Knox Systems and pitch classified and air-gapped deployments. We cannot match that today.
  • You want one vendor across data, models, agents, and employee AI use, and you would rather have breadth than depth in any one layer.

Bottom line: BigID tells you where the sensitive data is. DataShield decides what an agent may do with it and keeps proof of the decision. Most teams who buy us already own a scanner. If you own neither and agents are already in production, the proof problem bites first.

Feature by feature

Competitor cells describe what BigID'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 mattersDataShieldBigIDEdge
Sensitive data discoveryWe scan, profile and classify a live PostgreSQL source in place, with no rows leaving it. Columns get labelled against 129 field classes covering PII, PHI, financial data and secrets, and the catalog carries a business glossary, typed lineage and stewardship queues. That is PostgreSQL today, not your whole estate: SaaS apps, cloud stores and endpoints are not ours, and the other database providers are declared but not built yet.The core product, and the best part of it. Broad connector coverage, deep classifier library, Forrester Leader in April 2026.
Audit evidenceSHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion, or truncation. Public verifier.Activity Explorer and real-time agent activity monitoring. We found no published cryptographic tamper evidence.
Agent authorizationEvery governed tool call passes a scope ceiling, an authority tier, and a revocation re-check before dispatch. The call fails closed.Agentic Access Control scopes access by data sensitivity and monitors behaviour against declared intent. It flags. We found no per-call decision point.
Break-glassScoped, time-boxed emergency access for agents. It auto-revokes and cannot be quietly deleted from the log.Not described in their public material.
GDPR erasureCrypto-shred of per-subject key material plus ISO 27560 consent receipts. The audit chain still verifies afterwards.Retention and deletion workflow, DSAR automation, and remediation tickets. The underlying erasure mechanism is not described.
TokenizationDeterministic, 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. Detokenization is privileged and logged.Classification, labelling, and masking guidance. Tokenization is not vocabulary they use.
MCP and agentsNative MCP endpoints on Auth, Ontology, and Lighthouse. MCP tool tokens with scope ceilings, and per-call metering attributed to the agent.A real MCP server, shipped October 2025. It serves metadata, lineage, and sensitivity context and states it never touches the raw data itself.
Privacy automationConsent receipts and erasure mechanics. No DSAR case management, no RoPA.Deep. DSAR, RoPA, assessments, a standalone consent platform, and a privacy executive console.
DeploymentSelf-hosted or dedicated single-tenant. Ed25519 audit-signing keys can live in your own KMS or HSM, and chain checkpoints are signed there. HMAC tokenization keys sit in your environment or derive from your machine key today, not in a KMS.SaaS control plane with connectors, plus self-hosted and on-prem options, and marketplace listings on the big three clouds.
Public sectorNo FedRAMP path today.FedRAMP work with Knox Systems, alignment to NIST SP 800-53, CMMC, and FISMA, and air-gapped deployments.
Maturity signalsAuth, Guardian and Lighthouse are live in production (Guardian and Lighthouse since April 2026). SOC 2 not yet certified, and we say so.Founded 2016, around $320M raised, unicorn valuation, Forrester Leader, Gartner Challenger, long enterprise reference list.
PricingPublished model, scoped instant quote, no sales wall.Quote only. Third-party estimates put a mid-size deployment in six figures for year one, but BigID publishes no figures.

◆ DataShield leads◇ BigID leads◈ comparable

BigID claims are drawn from bigid.com and BigID's own press releases, 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 DSPM 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. With DataShield the next governed tool call is re-checked against current authority and fails closed. A monitoring layer writes you an alert about it on Monday. How Auth does it.

An erasure you can defend

GDPR says delete. Your auditor says keep the log. Crypto-shred settles it: the subject's key material is destroyed, the data goes unreadable, and the chain still verifies. See the diagram.

Where BigID is genuinely stronger

We would rather you heard this from us. BigID has been at this since 2016, has raised roughly $320M, and was named a Leader by Forrester for sensitive data discovery in April 2026. Their classifier library and connector coverage took years to build and we are not going to catch it. Their privacy suite is a real one, with case management and a consent platform the privacy office can run day to day. They ship fast, too: an MCP server in October 2025, DSPM for markdown files in April 2026, and an agent governance layer in August 2026. And their federal motion, with FedRAMP work through Knox Systems, is a door we cannot open yet.

Here is the push-back. Their own August 2026 launch asks the right question: once an agent has access to your data, what actually stops it from doing something you never approved? Their answer is to scope access by sensitivity, learn the agent's declared intent, then flag behaviour that drifts from it. That is detection. It tells you an agent did something odd. It does not refuse the call, and it does not give you an evidence artefact an examiner can check independently. Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations rather than attacks, which is exactly the case where flagging after the fact is the weakest possible answer. That is the layer we sell, and it sits on top of a scan like theirs quite happily.

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. BigID: their material describes activity monitoring and an Activity Explorer. We found no published tamper-evidence mechanism. Ask them to show one.

What happens to a revoked agent mid-session?

DataShield re-checks authority on every governed tool call, so revocation lands on the next call. BigID's Data Access Governance for AI agents discovers agent identities, right-sizes their access, and monitors activity in real time. 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 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. BigID automates the retention and deletion workflow and the DSAR around it. What happens to the underlying data, and to the audit history, is not spelled out. Ask for the mechanism, not the workflow.

Is DataShield a DSPM tool? Do we drop BigID?

No, and no. We do not scan your estate, we do not maintain a classifier library, and we have no opinion about the S3 bucket you forgot. If discovery is the problem, buy a scanner. Run us for the datasets agents actually touch, where the obligation is enforcement and evidence rather than inventory. Plenty of teams will sensibly run both.

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

Theirs, launched in October 2025, hands an agent metadata, lineage, and sensitivity context, and says plainly that it never touches the raw data. That is a good design for a catalog. Ours is where the governed data itself is queried, so the tool token carries a scope ceiling, the call is authorized before dispatch, and the decision is sealed into the chain. Different jobs. If you want an agent to ask what is sensitive, use theirs. If you want an agent to read the data under a policy you can later prove, use ours.

Does DataShield have SOC 2?

Not yet, and we will not imply otherwise. Auth is live a public threat model and a verifier anyone can run. Guardian and Lighthouse have been in production 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.

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Every comparison

One honest scorecard per vendor.

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