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 and it watches freshness, volume and schema, then tells you what broke and who cares. The lineage is business aware, so an alert arrives with the downstream damage attached. Their Sentinel agent reads your metadata and suggests the monitors you forgot to write. Their homepage now calls all of this "The Control Plane for Data and AI", and 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 governs the datasets agents read. Each one gets a 20-section profile and a weighted trust score that rolls up per domain and across the estate. Sensitive columns get labelled against 129 field classes, with the same input giving the same verdict every time. 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 the decision is sealed into a hash chain you can verify. 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 instead of a policy PDF. Run the verifier.
You need to pull an agent's authority mid-session and have the very next governed tool call 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 the Enterprise tier.
Your real question is which columns hold PHI and who touched them, not whether the table arrived on time.

Pick Sifflet when

A table went stale at 3am and 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 and your job is coverage across it: warehouses, lakes, BI, orchestration. We govern 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, and we keep proof of what it did. Most teams who buy us already own a monitoring tool, and the two stack without a fight.

Feature by feature

Competitor cells describe what Sifflet's public site and blog say as of the date above. If we have mischaracterised something, email support@myorg.ai and we will correct it, credited.

What matters	DataShield	Sifflet	Edge
Pipeline monitoring and alerting	None. We detect change and drift inside datasets we govern, with a diff engine, a change classifier, schema evolution tracking and a CDC log. That is not a monitor on your warehouse tables, and we will not sell it as one.	The core product. Freshness, volume, schema and custom metric monitors, with thresholds tuned by the Sentinel agent so nobody has to hand-write the whole set.	◇
Lineage and root cause	Typed lineage edges with access gating at every hop, derived rather than 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, quality metrics, transformation lineage, business rules, compliance governance and source fingerprint. On top of that a weighted composite trust score per entity type, domain and estate, recomputed hourly with a per-axis breakdown and a trend. Sensitive fields are labelled against 129 classes, deterministic and reproducible, with every verdict stamped so it can be re-derived later.	Quality metrics and a catalog, presented through monitors and incidents. Published material does not describe a per-dataset profile of this shape, and PII or PHI classification is not in their capability list.	◈
Audit evidence	SHA-256 hash chain with Ed25519-signed checkpoints that are themselves chained. Verification names the failure: tampering, insertion, deletion or truncation. Signing keys can live in your own KMS or HSM. See it run.	RBAC and audit logs under "Advanced Governance", plus lineage offered as audit support. We found no tamper-evidence or cryptographic chain claim in their public material.	◆
Agent authorization	Every governed tool call passes a scope ceiling, an authority tier and 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 other agents. We found no per-call authorization point for third-party agents in their docs.	◆
Break-glass	Scoped, time-boxed emergency access for agents. It auto-revokes and cannot be quietly deleted from the log.	Not described in their public material.	◆
GDPR erasure	Crypto-shred of per-subject key material plus ISO 27560 consent receipts. Actor identities in the chain are HMAC-committed, so the evidence still verifies after the subject is gone.	GDPR named on the security page alongside HIPAA and ISO. No erasure mechanism described. They hold metadata rather than your rows, which lowers the stakes but does not answer the question.	◆
Tokenization and data handling	Deterministic, 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. 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 rather than holding or transforming it.	◆
MCP and agents	More than 200 MCP tools across Ontology, Auth, Corpus and Lighthouse, shipping today. MCP tool tokens carry scope ceilings and per-call metering attributed 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 or docs. Sage and Forge are Enterprise-tier early access on the pricing page.	◆
Deployment and hosting	Self-hosted in your own cloud or data center, or a dedicated single-tenant server we operate. Docker images ship for Auth, Ontology, Corpus and Lighthouse, and Guardian verifies a signed deploy manifest.	SaaS on the Entry and Growth tiers. Hybrid and self-hosted arrive only at Enterprise, which starts above 1,000 monitored 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, and 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) with a self-serve entry point and Snowflake Marketplace credits. More open than most of their peers. Still no dollar figures on any tier.	◆

◆ DataShield leads◇ Sifflet leads◈ comparable

Sifflet claims are drawn from siffletdata.com, its pricing and product pages and its own blog, 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 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, 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 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 that column 14 holds a national ID, that the phone format changed last month, or how much the estate's trust score has slipped since April. That is what the 20-section profile and the trust KPI are for. See Ontology.

Where Sifflet is genuinely stronger

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

Here is the push-back, and it is about one word. Their homepage says "Control Plane for Data and AI". A control plane decides things. Sifflet observes, explains and suggests. It does not authorize a tool call, tokenize a column, revoke an agent mid-session, or hand you an evidence artefact an examiner can check without trusting the vendor. Their own blog asks whether you can trust the data feeding your AI agents, which is exactly the right question, and 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 rather than attacks. Freshness has nothing to say about those. The other soft spot is dates: MCP was "launching soon" in April 2025, and 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 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. Sifflet: their governance tier lists RBAC and audit logs, and 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 authority on every governed tool call, so revocation lands on the next call. Sifflet's agents run inside their own product and their published material does not describe a gate on your agents at all. If that is the risk you are buying against, they are the wrong shelf.

How does GDPR erasure interact with the audit trail?

DataShield crypto-shreds per-subject key material and issues an ISO 27560 consent receipt. The chain still verifies afterwards, because actor identities are committed rather than stored in the clear. Sifflet names GDPR on its security page but describes no erasure mechanism. In fairness, they hold metadata rather than 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 and no incident management. If a stale table is what wakes you at night, buy an observability tool. Run us for the datasets agents read, where the obligation is classification, authorization and evidence. Plenty of teams will 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 governed data, with a tool token that carries a scope ceiling and a decision sealed into the chain. Also check the shipping status. Their April 2025 post says the MCP agent layer is launching soon, and we could not find a public server or docs as of 13 September 2026. Sage and Forge sit in Enterprise early access on the pricing page.

Does DataShield have SOC 2?

Not yet, and we will not imply otherwise. Sifflet has SOC 2 Type II and ISO 27001 and that is a fair point against us. What we offer instead is a public threat model, a verifier anyone can run, and self-hosting so the data never leaves your ground. Auth is live, Guardian and Lighthouse have been in production since April 2026, and 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, plus early access to the Sage and Forge agents, are Enterprise-tier only. 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, after tripling customers 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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