Head-to-head · updated 13 September 2026
DataShield vs Sentra: after DSPM finds the data, who stops the agent?
Sentra is a good cloud-native DSPM. It scans your cloud, SaaS and on-prem stores. It moves nothing out. It tells you which datasets Copilot, Bedrock or Claude can reach. Their own words: Sentra "discovers, classifies, and governs every dataset AI can touch - from Copilot to Bedrock - at petabyte scale." Don't know where your data lives? Buy that tool first.
We are not a discovery tool. We won't pretend to be. DataShield picks up the job at the next step. We tokenize datasets at ingest. Agents query tokenized data over MCP. Detokenization is a privileged step. It gets audited too. Each tool call gets checked. We weigh it against current access. We seal each decision into a hash chain. You can verify it yourself. Most buyers who look at both end up running both. Here is the honest split. It includes the rows Sentra wins.
The short version
Pick DataShield when
- You already know where the data is. What you can't answer: was a given agent allowed to touch it? Can the record of that call be trusted? Run the verifier.
- You need to pull an agent's access mid-session. The very next tool call should fail closed. Not wait for a token to time out.
- You want sensitive fields replaced by reversible tokens, before an agent ever queries them. Detokenization is a logged, privileged act.
- An examiner will ask for the March logs. Hand over proof. Not a screenshot of a dashboard.
Pick Sentra when
- You don't have a map. Discovery and classification at scale is their core job. We don't do it. Buy it from them.
- Your worry is a person pasting a customer list into a chat box. Shadow AI DLP classifies in the browser. It can block, log or ask for a reason. No proxy in the path.
- You want data sensitivity context inside Wiz. Cloud findings then get ranked by what data they actually expose.
- Data never leaves your cloud. Not even to be classified. Their scanning is agentless. It stays in your environment.
Bottom line: Sentra tells you what your AI can reach. DataShield decides, at the moment of the call, whether it may. It keeps proof either way. Run both if you can. Budget for only one? Agents already querying production? Start with the control. Not the map.
Feature by feature: DSPM posture against agent enforcement
Competitor cells describe what Sentra's site and press releases say. As of the date above. Get something wrong? Email support@myorg.ai. We'll fix it, credited.
| What matters | DataShield | Sentra | Edge |
|---|---|---|---|
| Sensitive-data discovery | We scan, profile and classify a live PostgreSQL source in place. No rows leave it. Columns get labelled against 129 field classes. PII, PHI, financial data, secrets. 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. Other databases sit on the roadmap, not built yet. | Agentless, in-environment scanning of cloud, SaaS, warehouse and on-prem stores at petabyte scale. Their home turf. | ◇ |
| Audit evidence | SHA-256 hash chain. Ed25519-signed checkpoints. Those checkpoints chain too. Verification names the failure. Tampering, insertion, deletion, truncation. Try the verifier. | Audit trails of AI-related data movement and compliance reporting. We found no published cryptographic tamper evidence. | ◆ |
| Agent authorization | Each checked tool call passes a scope ceiling. It passes an access tier too. And a revocation re-check, before dispatch. The decision happens in the request path. | Identity and access governance mapping. Plus fixes, routed through controls you own now. No per-call authorization decision described. | ◆ |
| Break-glass | Scoped, time-boxed emergency access for agents. It auto-revokes and can't be quietly dropped from the log. | Not offered. | ◆ |
| GDPR erasure | Crypto-shred of per-subject key material plus ISO 27560 consent receipts. The chain still verifies after the subject is gone. | Finds redundant and stale sensitive data so you can clean it up. No per-subject erasure mechanism described. | ◆ |
| Tokenization and data handling | We tokenize datasets at ingest. Agents query tokenized data over MCP. Detokenization is a privileged step. It gets audited. Tokens are deterministic. They preserve joins. Quasi-identifiers get generalized too. Dates go to year, decade, or age band. ZIPs go to 3 or 4 digits. Phones, SSNs and emails get partial masking. Each column gets a measured score. | Discovery, classification and DLP-style blocking. Their own DSPM guide lists fixes: encryption, tighter access controls, patching. No tokenization or vault, anywhere. | ◆ |
| Shadow AI and browser DLP | None. We control headless agents hitting checked datasets, not people typing into a chat window. | Shadow AI DLP, launched August 2026. Classifies in the browser and can block, allow, log or ask the user to justify. | ◇ |
| MCP and agents | Native MCP endpoints on Auth, Ontology and Lighthouse. MCP tool tokens with scope ceilings. Per-call metering attributed to the agent. | Coverage of Copilot, Bedrock, Azure OpenAI, Vertex AI, Snowflake Cortex and Claude, as data consumers. We found no MCP tool-token claim. No tool-level identity claim, either. | ◆ |
| Cloud risk context | None. We have no cloud posture graph and no plan to build one. | Wiz integration feeds data sensitivity into the Wiz Security Graph. It refreshes every 24 hours. Genuinely useful, if you run Wiz. | ◇ |
| Deployment | Self-hosted or dedicated single-tenant. Your keys, including the detokenization keys. | Scanning runs in your environment. No egress. Sentra hosts the control plane as SaaS. Ask what classification metadata leaves your account. | ◈ |
| Maturity signals | Auth, Guardian and Lighthouse are live in production (Guardian and Lighthouse since April 2026). SOC 2 not yet certified, and we say so. | Founded 2021. Four co-founders. New York and Tel Aviv. CRN Security 100 in 2026. 4.9 out of 5 on Gartner Peer Insights. Far more buyers than us. | ◇ |
| Pricing | Published model, scoped instant quote, no sales wall. | Quote only. Priced by the volume of data at rest, across your environments. Fill in a form. Wait for a call. | ◆ |
◆ DataShield leads◇ Sentra leads◈ comparable
Sentra claims come from sentra.io and Sentra's own announcements. Last checked 13 September 2026. We link them below. Not from memory.
Three things you get here that you won't get from a DSPM
Proof that survives an audit
A report is a claim. A hash chain is evidence. Ours seals each decision to the one before it. We sign checkpoints. We chain those too. The verifier tells you what broke. Not just that something did. That's 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 quits at 11am. Their agent is 20 minutes into a 40-minute job. With DataShield, we re-check the next tool call. It fails closed. A posture scan that night tells you about it tomorrow. Too late. How Auth does it.
Tokens instead of trust
Finding a Social Security number in a bucket is step one. Step two: make sure the agent gets a token, not the number. Ours are deterministic. Joins and analytics still work. Getting the real value back is a privileged act. It gets logged. How the data layer works.
Where Sentra is genuinely stronger
We'd rather you hear this from us. Sentra does the thing we don't. Their scanning is agentless. It stays inside your cloud. That matters if raw data must never leave, even for classification. They cover the messy places: SaaS, collaboration tools, warehouses, on-prem shares. They ship an integration with each major AI platform fast. Within about a quarter of its rollout. The Wiz partnership puts data sensitivity where cloud teams look now. Shadow AI DLP is a smart product too. Classifying in the browser, without a proxy, is the right call there.
The push-back is small. But it decides the deal. Sentra's own launch lists one of its five pillars as automated fixes through existing controls. That's a handoff. It lands somewhere. Say the existing control is an IAM role. It can't tell you which agent made the call. It can't tell you if a human had revoked that agent, either. Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations. Not attacks. A map of your data doesn't stop a policy violation. A posture report isn't evidence a regulator can check. That gap is the layer we sell. It sits directly downstream of theirs.
Questions worth asking both of us
These are the questions we'd want answered if we were buying. Ask them on each vendor call, ours included.
Can you cryptographically prove an audit log entry wasn't deleted?
DataShield: yes. Each record commits to the one before it. We sign and chain each checkpoint. Verification tells deletion apart from truncation apart from tampering. Run it against a sample chain at /verify. Sentra: their Shadow AI DLP release describes audit trails of data movement. The platform does compliance reporting too. We found no published tamper-evidence check. Ask them to show one.
What happens to a revoked agent mid-session?
DataShield re-checks access on each tool call. Revocation bites on the next call. Sentra maps identity and access. That includes AI identities. It flags over-permissioned ones. That's a finding. Not a block. Ask how long a compromised agent keeps working after you pull its access. Ask who enforces the pull.
Isn't DSPM enough if it governs what AI can reach?
It depends what "govern" means. Sentra's five pillars end with fixes, through the controls you have now. So the last mile is your IAM, your database grants, your DLP. Those work on users and roles. They can't tell an agent from the human who started it. They don't produce a record you can verify, either. We sit in that last mile. Like Sentra's map? Keep it. We read the same world. We enforce on it.
Do we still need Sentra if we run DataShield?
Probably, and we'd say so on the call. We classify PII and PHI against 129 field classes. Inside the datasets we check. We scan a live PostgreSQL source in place. Your Google Drive or S3 estate does not get crawled. We skip your old file shares too. Have a discovery problem? Buy a discovery tool. We're the control and the evidence, for the agent path after that.
How does GDPR erasure interact with the audit trail?
DataShield crypto-shreds the per-subject key material. It issues an ISO 27560 consent receipt too. Actor identities in the chain carry HMAC commitments. Not names. The proof still checks out, once the subject is gone. Sentra finds redundant and stale sensitive data. You can reduce what you hold. Useful, but we found no per-subject erasure method in their material. Ask both of us to walk through one deletion request, end to end.
Does DataShield have SOC 2?
Not yet, and we won't imply otherwise. Auth is live. It has a public threat model and a verifier anyone can run. Guardian and Lighthouse have been in production since April 2026. Sentra is older, bigger, and has more customers than us. That's a fair reason to prefer them on risk grounds. Design-partner terms include source escrow. So a small vendor isn't a single point of failure. Details on the security page.
- Sentra's positioning: "AI is Live. Your data readiness and governance isn't." Primary CTA is "Make my data AI ready." - sentra.io, 13 Sep 2026
- AI Data Readiness Platform launch names five pillars. It ends with automated fixes. Through existing controls. - Cyber Defense Wire, 04 Jun 2026
- Shadow AI DLP classifies in the browser. It can block, allow, log, or require justification. No proxy in the path. - Sentra newsroom, 04 Aug 2026
- Wiz integration refreshes data classifications in the Wiz Security Graph every 24 hours. - Sentra newsroom, 15 Apr 2026
- Pricing is quote only. Licensed by the volume of data at rest. That spans IaaS, PaaS, DBaaS, SaaS and on-prem. - sentra.io/pricing, 13 Sep 2026
- Through 2028, 80% or more of unauthorized agent transactions will be internal policy violations. Not attacks. - Gartner, 2026
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One honest scorecard per vendor, sources at the bottom.
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