Head-to-head · updated 13 September 2026

DataShield vs Sifflet: who watches the pipeline, and who answers to the auditor?

Sifflet is good at the job it says it does. Point it at your warehouse. It watches freshness, volume and schema. It tells you what broke and who cares. The lineage is business aware. An alert arrives with the downstream damage attached. Their Sentinel agent reads your metadata. It suggests the monitors you forgot to write. Their homepage calls all of this "The Control Plane for Data and AI". The logo wall behind it is real: Carrefour, Euronext, Saint-Gobain, BPCE.

We are not an observability tool. No monitors, no alerts, no freshness SLAs, no incident queue. DataShield checks the datasets agents read. Each one gets a 20-section profile. Plus a weighted trust score. It rolls up per domain, and across the estate. Sensitive columns get labelled against 129 field classes. The same input gives the same verdict, every time. We tokenize datasets at ingest. Agents query tokenized data over MCP. Detokenization is a privileged step. It gets audited too. We check each tool call against the agent's access, right then. We seal the decision into a hash chain. You can verify it. Here is the honest split. Rows they win included.

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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 examiner, an auditor, or Article 12 of the EU AI Act. We answer with a hash chain and signed checkpoints. 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.
You are a small team under a hard rule about where data sits. We self-host at any size. Sifflet keeps hybrid and self-hosted for Enterprise only.
Your real question: which columns hold PHI, and who touched them? Not whether the table arrived on time.

Pick Sifflet when

A table went stale at 3am. Nobody noticed until the CFO did. That is their home ground. We do not play on it at all.
You want the diagnosis, not just the alarm. Sage ties lineage, logs, queries and change history together, when a monitor fires. We ship nothing like it.
Procurement wants SOC 2 Type II and ISO 27001 badges on the homepage today. They have both. We do not.
Your stack is broad. Your job is coverage across it: warehouses, lakes, BI, orchestration. We check the datasets we hold, plus a live PostgreSQL source.

Bottom line: Sifflet tells you the data is healthy. We decide whether the agent may read it. We keep proof of what it did. Most buyers already own a monitoring tool. The two stack fine.

Feature by feature

Competitor cells describe what Sifflet's site and blog say. As of the date above. Get something wrong? Email support@myorg.ai. We'll fix it, credited.

What matters	DataShield	Sifflet	Edge
Pipeline monitoring and alerting	None. We detect change and drift, inside datasets we check. A diff engine does the work. So does a change classifier. Schema evolution tracking, a CDC log too. That is not a monitor on your warehouse tables. We will not sell it as one.	The core product. Freshness, volume, schema, custom metric monitors. The Sentinel agent tunes thresholds. Nobody has to hand-write the whole set.	◇
Lineage and root cause	Typed lineage edges. Access gating at every hop. Derived, not stored. Useful for asking who reads what. Not an incident tool.	Business-aware lineage, with impact analysis. Plus automated root-cause analysis. Sage correlates lineage, logs, queries and change history, when a monitor fires.	◇
Dataset profiling and trust scoring	A 20-section profile per dataset. Completeness, field statistics, patterns. Column semantics, relationship graph. Plus quality metrics, transformation lineage, business rules. Compliance governance, source fingerprint too. On top of that, a weighted trust score. Per entity type, domain, estate. It recomputes hourly. Sensitive fields get labelled against 129 classes. Deterministic, reproducible. Every verdict gets stamped, so it can be re-derived later.	Quality metrics and a catalog. Presented through monitors and incidents. Their docs show no per-dataset profile of this shape. No PII or PHI classification, either.	◈
Audit evidence	SHA-256 hash chain. Ed25519-signed checkpoints. Those checkpoints chain too. Verification names the failure. Tampering, insertion, deletion, truncation. Signing keys stay on your instance, in a key directory you control. Kid-keyed rotation. KMS or HSM custody is a built seam in Auth, not a shipped integration. See it run.	RBAC and audit logs, under "Advanced Governance". Plus lineage, offered as audit support. We found no tamper-evidence claim. No cryptographic chain claim, either.	◆
Agent authorization	Each tool call passes a scope ceiling. An access tier too. Plus a revocation re-check, before dispatch. The call fails closed. Delegation uses RFC 8693 token exchange, with an enforced scope ceiling.	Their agents act on your metadata and your incidents. Not as a gate on others. We found no per-call check for outside agents. Anywhere.	◆
Break-glass	Scoped, time-boxed emergency access for agents. It auto-revokes. It cannot be quietly deleted from the log.	Not shown in their docs.	◆
GDPR erasure	Crypto-shred of per-subject key material. Plus ISO 27560 consent receipts. Actor identities in the chain get HMAC commitments. The proof still holds, once the subject is gone.	GDPR named on the security page, alongside HIPAA and ISO. No erasure method described. They hold metadata, not your rows. That lowers the stakes. It doesn't answer the question.	◆
Tokenization and data handling	Deterministic, join-preserving, vault-reversible tokens, applied at ingest. Plus quasi-identifier generalization. Dates go to year, decade, or age band. ZIPs go to 3 or 4 digits. Phones, SSNs, emails get partial masking. Each column gets a measured score. HMAC tokenization keys sit in your environment. Or derive from your machine key today. Not in a KMS.	Not their category. Sifflet reads metadata and metrics about your data. It does not hold or transform it.	◆
MCP and agents	More than 200 MCP tools, across Ontology, Auth, Corpus and Lighthouse. Shipping today. MCP tool tokens carry scope ceilings. Per-call metering ties back to the agent.	Three named agents, inside their own product. Sentinel, Sage and Forge. An April 2025 blog post says their MCP-based agent layer is "launching soon". Seventeen months later, we found no public MCP server. No docs, either. Sage and Forge sit in Enterprise-tier early access, on the pricing page.	◆
Deployment and hosting	Self-hosted in your own cloud or data center. Or a dedicated server we operate for you. Docker images ship for Auth, Ontology, Corpus and Lighthouse. Guardian verifies a signed deploy manifest.	SaaS on the Entry and Growth tiers. Hybrid and self-hosted arrive only at Enterprise. That tier starts above 1,000 assets.	◆
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. Around $31M disclosed, across a 2023 Series A and a 2025 follow-on. SOC 2 Type II and ISO 27001. G2 mid-market badges. A long European reference list.	◇
Pricing	Published model, scoped instant quote, no sales wall.	Three published tiers, gated by asset count (500, 1,000, and above). A self-serve entry point. Snowflake Marketplace credits too. More open than most of their peers. Still no dollar figures.	◆

◆ DataShield leads◇ Sifflet leads◈ comparable

Sifflet claims come from siffletdata.com. Its pricing and product pages too. Its own blog too. Last checked 13 September 2026. We link them below. Not from memory.

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

Proof that survives an audit

A log that can be silently edited proves nothing. Ours is a hash chain, with signed checkpoints. 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 leaves on a Friday. Their agent is still 20 minutes into a 40-minute job. With DataShield, we re-check the next tool call. It fails closed. A monitoring layer writes you a lovely incident about it. On Monday. How Auth does it.

A profile of the data, not the pipeline

Freshness tells you the table arrived. It does not tell you column 14 holds a national ID. It does not tell you the phone format changed last month. It does not tell you the estate's trust score slipped since April. That is what the 20-section profile is for. Plus the trust KPI. See Ontology.

Where Sifflet is genuinely stronger

We would rather you heard this from us. Sifflet has been building since 2021. It has the buyers to show for it: Carrefour, Euronext, Saint-Gobain, BPCE, Penguin Random House. They tripled buyers and revenue, the year before their June 2025 raise. Their monitoring is broad. Their lineage is business aware. The three-agent story maps onto how an on-call team actually works. Sentinel finds the blind spots. Sage explains the break. Forge routes the fix. They publish their pricing tiers. Most of their peers refuse to do that. They hold SOC 2 Type II and ISO 27001. We hold neither. Pipelines break quietly at your shop? Buy them. Do not let us talk you out of it.

Here is the push-back. It's about one word. Their homepage says "Control Plane for Data and AI". A control plane decides things. Sifflet observes, explains, suggests. It does not authorize a tool call. It does not tokenize a column. It does not revoke an agent mid-session. It does not hand you an evidence artefact. One an examiner can check, without trusting the vendor. Their own blog asks if you can trust the data feeding your AI agents. That's exactly the right question. Their answer stops at whether the data was fresh, and where it came from. Gartner expects most unauthorized agent transactions through 2028 to be internal policy violations. Not attacks. Freshness has nothing to say about those. The other soft spot is dates. MCP was "launching soon" in April 2025. We could not find a shipped MCP server, seventeen months later. Ask them about both.

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. 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. Sifflet: their governance tier lists RBAC and audit logs. The security page offers lineage as audit support. We found no tamper-evidence claim. Ask them to show one.

What happens to a revoked agent mid-session?

DataShield re-checks access on each tool call. Revocation lands on the next call. Sifflet's agents run inside their own product. Their docs show no gate on your agents. If that's the risk you're buying against, they are the wrong shelf.

How does GDPR erasure interact with the audit trail?

DataShield crypto-shreds per-subject key material. It issues an ISO 27560 consent receipt too. The chain still verifies afterwards. Actor identities are committed, not stored in the clear. Sifflet names GDPR on its security page. But describes no erasure method. In fairness, they hold metadata, not your rows. Ask what their metadata retains about a subject, once you delete them.

Is DataShield a data observability tool? Do we drop Sifflet?

No, and no. We have no monitors, no alerts, no freshness SLAs, no incident management. A stale table wakes you at night? Buy an observability tool. Run us for the datasets agents read. There, the obligation is classification, authorization, evidence. Plenty of teams sensibly run both.

Sifflet talks about MCP and AI agents. Isn't that the same story as yours?

Same words, different layer. Their agents work on your metadata. Sentinel suggests monitors. Sage explains a break. Forge routes the fix. Ours is the surface an outside agent calls, to read checked data. A tool token carries a scope ceiling. A decision gets sealed into the chain. Also check the shipping status. Their April 2025 post says the MCP agent layer is launching soon. We could not find a public server, or docs, as of 13 September 2026. Sage and Forge sit in Enterprise early access.

Does DataShield have SOC 2?

Not yet, and we will not imply otherwise. Sifflet has SOC 2 Type II and ISO 27001. That's a fair point against us. We offer a public threat model instead. A verifier anyone can run, too. Self-hosting means the data never leaves your ground. Auth is live. Guardian and Lighthouse have been in production since April 2026. Design-partner terms include source escrow. Details on the security page.

Sifflet's current positioning: "The Control Plane for Data and AI." - siffletdata.com, 13 Sep 2026
Pricing tiers are gated by monitored assets (500 / 1,000 / 1,000+). Hybrid and self-hosted deployment are Enterprise-tier only. Early access to Sage and Forge too. No dollar figures published. - siffletdata.com/pricing, 13 Sep 2026
The agent product is pitched as "Detect. Explain. Resolve. Automatically." with Sentinel, Sage and Forge. - siffletdata.com/product-agents, 13 Sep 2026
Sifflet on its own MCP work: "actively building our MCP-based agent layer, and it's launching soon." - Sifflet blog, 15 Apr 2025
$18M raise from EQT Ventures, Mangrove Capital Partners and new investor Capmont Technology. This came after tripling buyers and revenue. Category term: "AI-ready data observability". - Sifflet blog, 19 Jun 2025
$12.8M Series A led by EQT Ventures, framed around ending "Data Entropy". - Sifflet blog, 21 Mar 2023

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