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 without moving the data out, and 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." If you don't know where your sensitive data lives, that is the tool to buy first.
We are not a discovery tool, and we won't pretend to be. DataShield picks up the job at the next step. 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 current authority, and every decision is sealed into a hash chain you can verify yourself. Most buyers who look at both end up running both. Here is the honest split, including the rows Sentra wins.
The short version
Pick DataShield when
- You already know where the data is. What you can't answer is whether a given agent was allowed to touch it, and whether the record of that call can be trusted. Run the verifier.
- You need to pull an agent's authority mid-session and have the very next tool call fail closed, not wait for a token to time out.
- You want the sensitive fields replaced by reversible tokens before an agent ever queries them, with detokenization as a logged, privileged act.
- An examiner will ask for the March logs. You want to 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 and 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 and can block, log or ask for a reason, with no proxy in the path.
- You want data sensitivity context inside Wiz, so cloud findings get ranked by what data they actually expose.
- The rule is that data never leaves your cloud, even to be classified. Their scanning is agentless and 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, and keeps proof either way. Run both if you can. If you only have budget for one and agents are already querying production, start with the control, not the map.
Feature by feature: DSPM posture against agent enforcement
Competitor cells describe what Sentra's public site and press releases say as of the date above. If we've mischaracterised something, email support@myorg.ai and we'll correct it, credited.
| What matters | DataShield | Sentra | Edge |
|---|---|---|---|
| Sensitive-data discovery | We 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. | Agentless, in-environment scanning of cloud, SaaS, warehouse and on-prem stores at petabyte scale. Their home turf. | ◇ |
| Audit evidence | SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion or truncation. Public verifier. | Audit trails of AI-related data movement and compliance reporting. We found no published cryptographic tamper evidence. | ◆ |
| Agent authorization | Every governed tool call passes a scope ceiling, an authority tier and a revocation re-check before dispatch. The decision happens in the request path. | Identity and access governance mapping, plus remediation routed through controls you already own. 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 | Datasets are tokenized at ingest; agents query tokenized data over MCP; detokenization is a privileged, audited operation. Tokens are deterministic and join-preserving. Quasi-identifiers get generalized: 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. | Discovery, classification and DLP-style blocking. Their own DSPM guide lists remediation as encryption, tighter access controls and patching. No tokenization or vault described. | ◆ |
| Shadow AI and browser DLP | None. We govern headless agents hitting governed 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 or tool-level identity claim. | ◆ |
| 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, refreshed every 24 hours. Genuinely useful if you already run Wiz. | ◇ |
| Deployment | Self-hosted or dedicated single-tenant. Your keys, including the detokenization keys. | Scanning runs in your environment with no egress. The control plane is Sentra-hosted 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 customers 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 and wait for a call. | ◆ |
◆ DataShield leads◇ Sentra leads◈ comparable
Sentra claims are drawn from sentra.io and Sentra's own announcements, last checked 13 September 2026. We link them below rather than paraphrase 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, signs checkpoints, and chains those too. 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 quits at 11am. Their agent is 20 minutes into a 40-minute job. With DataShield the next governed tool call is re-checked and fails closed. A posture scan run that night will tell you about it tomorrow. How Auth does it.
Tokens instead of trust
Finding a Social Security number in a bucket is step one. Step two is making sure the agent gets a token instead of the number. Ours are deterministic, so joins and analytics still work, and getting the real value back is a privileged, logged act. 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 and stays inside your cloud, which matters if your rule is that raw data never leaves, even for classification. They cover the messy places: SaaS, collaboration tools, warehouses, on-prem shares. They ship an integration with each major enterprise AI platform within about a quarter of its rollout, and the Wiz partnership puts data sensitivity where a lot of cloud teams already look. Shadow AI DLP is a smart product too. Classifying in the browser, without a proxy, is the right call for that problem.
The push-back is small but it decides the deal. Sentra's own platform launch lists one of its five pillars as automated remediation through existing controls. That is a handoff, and it lands somewhere. If the existing control is an IAM role, it can't tell you which agent made the call or whether a human had already revoked that agent. 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, and a posture report isn't evidence a regulator can check. That gap is the layer we sell, and 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 every vendor call, including ours.
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. Sentra: their Shadow AI DLP release describes audit trails of AI data movement, and the platform does compliance reporting. 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 bites on the next call. Sentra maps identity and access, including AI identities, and flags over-permissioned ones. That is a finding, not a block. Ask how long a compromised agent keeps working after you pull its access, and who actually enforces the pull.
Isn't DSPM enough if it governs what AI can reach?
It depends what "govern" means in the sentence. Sentra's five pillars end with remediation through the controls you already have. So the last mile is your IAM, your database grants, your DLP. Those work on users and roles. They don't know an agent from the human who started it, and they don't produce a record you can verify. We sit in that last mile. If you like Sentra's map, keep it: we read the same world and 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 govern, and we scan a live PostgreSQL source in place. We do not crawl your Google Drive, your S3 estate or your old file shares looking for surprises. If you have a discovery problem, buy a discovery tool. We're the control and the evidence for the agent path afterwards.
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. Sentra finds redundant and stale sensitive data so you can reduce what you hold, which is useful, but we found no per-subject erasure mechanism in their public 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 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, and that is 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, ending with automated remediation through existing controls. — Cyber Defense Wire, 04 Jun 2026
- Shadow AI DLP classifies in the browser and can block, allow, log or require justification, with 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 across IaaS, PaaS, DBaaS, SaaS and on-prem. — sentra.io/pricing, 13 Sep 2026
- ≥80% of unauthorized agent transactions through 2028 will be internal policy violations rather than attacks. — Gartner, 2026
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One honest scorecard per vendor, sources at the bottom.
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