Head-to-head · updated 13 September 2026
DataShield vs BigID: after DSPM finds the data, who stops the agent?
BigID named the DSPM category. They still run it well. Point them at a messy data estate. They'll tell you what's in it. Thousands of classifiers. Every store, from Snowflake to the S3 bucket nobody admits to owning. Plus the privacy machinery: DSARs, RoPA, consent. Forrester made them a Leader in sensitive data discovery in April 2026. That's earned. We won't argue with it.
We don't do discovery. DataShield is not a DSPM tool, and we won't pretend to be one. We start where the scan stops. We tokenize datasets at ingest. Agents query tokenized data over MCP. Turning a token back into real data is a special step. It's audited each time. We check each checked tool call against the agent's access, right then. We seal each choice into a hash chain. You can check it without trusting us. Here's the honest split, including the rows BigID wins.
The short version
Pick DataShield when
- Someone will eventually ask you to prove an agent's access log wasn't edited. An examiner, an auditor, or Article 12 of the EU AI Act. Our chain answers with math, not a policy PDF. Run the verifier.
- You need to pull an agent's access mid-session. The very next tool call should 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. You hold the keys.
- You would like to see a price, before you book a call.
Pick BigID when
- You genuinely don't know where your sensitive data lives. That's the job BigID was built for. It's not one we do at all.
- The privacy office is buying. Think DSAR workflow, records of processing, retention. Plus their standalone consent platform. A real product line, not a checkbox.
- You are federal. They're pushing FedRAMP with Knox Systems. They pitch classified and air-gapped deployments, too. We can't match that today.
- You want one vendor across data, models, agents, and employee AI use. 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. It keeps proof of that decision, too. Most teams who buy us already own a scanner. Own neither, with agents already in production? The proof problem bites first.
Feature by feature
Competitor cells describe what BigID's public site and press releases say. We use the date above. Did we get something wrong? Email support@myorg.ai. We'll fix it, and credit you.
| What matters | DataShield | BigID | Edge |
|---|---|---|---|
| Sensitive data discovery | We scan, profile and classify a live PostgreSQL source, in place. No rows leave it, ever. We tag columns against 129 field classes. That covers PII, PHI, financial data and secrets. The catalog holds a glossary, typed lineage and steward queues. That's PostgreSQL today, not your whole estate. SaaS apps, cloud stores and endpoints aren't ours yet. Other databases: on our plan, not built yet. | The core product, and the best part of it. Broad connector reach, a deep classifier library. Plus a Forrester Leader spot, in April 2026. | ◇ |
| Audit evidence | SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion, or truncation. Try the verifier. | Activity Explorer, plus real-time agent watching. We found no public proof of tamper evidence. | ◆ |
| Agent authorization | Every checked tool call passes a scope ceiling. It also passes an access tier, and a re-check, before dispatch. The call fails closed. | Agentic Access Control scopes access by data risk. It also watches behaviour against declared intent. It flags. We found no per-call choice point. | ◆ |
| Break-glass | Scoped, time-boxed emergency access for agents. It auto-revokes on its own. It can't be quietly deleted from the log. | Not described in their public docs. | ◆ |
| GDPR erasure | Crypto-shred of per-subject key material. Plus ISO 27560 consent receipts too. The audit chain still checks afterwards. | A retention and deletion workflow. DSAR automation, plus remediation tickets. The underlying erasure mechanism isn't described. | ◆ |
| Tokenization | Deterministic, join-preserving, vault-reversible tokens. Applied at ingest, across datasets. Plus quasi-identifier generalization. Dates become year, decade or age band. ZIPs become 3 or 4 digits. Phones, SSNs and emails get partial masking too. Each column gets a measured score. We privilege each detokenization. We log it too. | Classification, labelling, and masking guidance. Tokenization isn't vocabulary they use, it seems. | ◆ |
| MCP and agents | Native MCP endpoints sit on Auth, Ontology, and Lighthouse. MCP tool tokens carry scope ceilings, always. Per-call metering ties right back to the agent. | A real MCP server, shipped October 2025. It serves metadata, lineage, and risk context. It states plainly: it never touches raw data. | ◆ |
| Privacy automation | Consent receipts, and erasure mechanics. No DSAR case management. No RoPA either. | Deep. DSAR, RoPA, assessments. Plus a standalone consent platform and a privacy executive console. | ◇ |
| Deployment | Self-hosted, or dedicated single-tenant, your call. Ed25519 audit-signing keys stay on your instance. They sit in a key directory you control. We sign chain checkpoints there, with kid-keyed rotation. KMS or HSM custody is a built seam in Auth. It's not a shipped integration. HMAC tokenization keys sit in your environment today. Or they derive from your machine key. Not from a KMS. | A SaaS control plane, with links. Plus self-hosted and on-prem options. Marketplace listings sit on the big three clouds, too. | ◈ |
| Public sector | No FedRAMP path, today. | FedRAMP work, with Knox Systems. Alignment to NIST SP 800-53, CMMC, and FISMA. Air-gapped deployments, too. | ◇ |
| Maturity signals | Auth, Guardian and Lighthouse are all live now. Guardian and Lighthouse have run since April 2026. SOC 2 isn't certified yet, and we say so plainly. | Founded 2016. Around $320M raised, a unicorn valuation. A Forrester Leader spot, a Gartner Challenger spot too. Plus a long enterprise reference list. | ◇ |
| Pricing | Published model, a scoped instant quote, no sales wall. | Quote only. Third-party estimates put a mid-size deployment at six figures, for year one. BigID publishes no figures of its own. | ◆ |
◆ DataShield leads◇ BigID leads◈ comparable
We draw BigID claims from bigid.com and BigID's own press releases. Last checked 13 September 2026. We link them below, not just a paraphrase from memory.
Three things you get here that you won't get from a DSPM platform
Proof that survives an audit
A log can be silently edited. That proves nothing. Ours is a hash chain with signed checkpoints instead. The verifier tells you what broke. Not just that something did. Two rules care about that most: EU AI Act Article 12 and HIPAA §164.312(b). 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, unaware. DataShield re-checks the next checked tool call against current access, right then. It fails closed. A watching 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, right there. We destroy the subject's key material. The data goes unreadable, for good. The chain still checks, each time. See the diagram.
Where BigID is genuinely stronger
We'd rather you heard this from us. BigID has been at this since 2016. They've raised about $320M. Forrester named them a Leader for sensitive data discovery, in April 2026. Their classifier library and connector reach took years to build. We won't catch up to that. Their privacy suite is a real one. It has case management. Plus 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. An agent governance layer, in August 2026. And their federal motion is real, too. FedRAMP work through Knox Systems is a door we can't open yet.
Here's the push-back, in short. Their own August 2026 launch asks the right question. Once an agent has access to your data, what actually stops it? What stops it doing something you never approved? Their answer: scope access by risk. Learn the agent's declared intent. Then flag behaviour that drifts from it. That's detection, plain and simple. It tells you an agent did something odd. It doesn't refuse the call, though. It doesn't hand you proof an examiner can check on its own. Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations. Not attacks. That's exactly the case where flagging after the fact is weakest. That's the layer we sell. It sits on top of a scan like theirs, quite happily.
Questions worth asking both of us
These are the questions we'd want answered if we were buying. Ask them on each call, ours included.
Can you cryptographically prove an audit log entry wasn't deleted?
DataShield: yes, it can. Each record commits to the one right before it. We sign and chain each checkpoint. Verification tells deletion from truncation from tampering, each time. Run it against a sample chain at /verify. BigID: their docs describe activity watching, plus an Activity Explorer. We found no public tamper-evidence step. Ask them to show one.
What happens to a revoked agent mid-session?
DataShield re-checks access on each checked tool call, always. A pulled grant bites on the next call, no delay. BigID's Data Access Governance for AI agents discovers agent IDs. It right-sizes their access, and monitors activity in real time. We couldn't find a mid-session revocation step 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 subject's key material. Then it issues an ISO 27560 consent receipt. Actor IDs in the chain carry HMAC commitments, not names. The proof still checks out, long after the subject leaves. BigID automates the retention and deletion workflow. Plus the DSAR around it. What happens to the underlying data isn't spelled out. Nor is the effect on audit history. Ask for the mechanism, not the workflow.
Is DataShield a DSPM tool? Do we drop BigID?
No, and no. We don't scan your estate, and we don't maintain a classifier library. 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. There the obligation is enforcement and evidence, not inventory. Plenty of teams sensibly run both.
BigID ships an MCP server too. What's different?
Theirs launched in October 2025. It hands an agent metadata, lineage, and risk context. It says plainly: it never touches raw data. That's a good design for a catalog. Ours is where agents query the checked data itself. The tool token carries a scope ceiling. We authorize the call before dispatch. The choice seals into the chain. Different jobs, really. Want an agent to ask what's sensitive? Use theirs. Want an agent to read the data under a policy? One you can later prove? Use ours.
Does DataShield have SOC 2?
Not yet. We won't imply otherwise, ever. Auth is live now. It ships with a public threat model and a verifier anyone can run. Guardian and Lighthouse have both been live since April 2026. Design-partner terms include source escrow. That way a small vendor isn't a single point of failure. Details on the security page.
- BigID's current positioning: "The Only Platform Built for AI Risk at Every Layer." That's the pitch. - bigid.com, 13 Sep 2026
- Agentic Access Control and Intent-Based Activity Monitoring. It scopes agent access by data sensitivity. Then it flags actions that deviate from declared intent. - PR Newswire, 4 Aug 2026
- Data Access Governance extended to AI agents. It covers agent ID discovery. Access right-sizing for non-human IDs. Real-time activity monitoring, too. - PR Newswire, 25 Mar 2026
- BigID's MCP server serves metadata, lineage, sensitivity and risk context, "without ever touching the raw data itself." That's their claim. - PR Newswire, 14 Oct 2025
- Named a Leader in the Forrester Wave for Sensitive Data Discovery and Classification Solutions, Q2 2026. - PR Newswire, 10 Apr 2026
- FedRAMP authorization, pursued with Knox Systems. Alignment to NIST SP 800-53, CMMC, FISMA. Air-gapped deployment, too. - PR Newswire, 9 Dec 2025
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AllEvery comparison
One honest scorecard per vendor.
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