Sentra vs Concentric AI: Cloud DSPM vs Semantic Data Governance
Choose Sentra when agentless cloud discovery and AI data readiness is the product. Choose Concentric AI when semantic risk monitoring and data security governance is the product.
Pick the seat before you open either demo. Between these two, Sentra productizes cloud-native, agentless discovery and classification at scale so teams can prove which sensitive stores and identities AI systems can reach. Concentric AI productizes Semantic Intelligence: meaning-based classification, continuous risk monitoring, remediation, and GenAI-oriented data governance.
Both speak DSPM. Shared labels do not make them one interchangeable platform. Sentra’s center is inventory and posture for multi-cloud data estates and AI readiness. Concentric’s center is context-aware risk and governance across structured and unstructured stores, including messaging and AI assistants.
Related AppSec and cloud shortlists still live under Application Security; head-to-head pages stay on Compare.
| Job | Cloud-native data security platform (DSP/DSPM): agentless discovery, classification, access governance, AI data readiness | AI-driven data security governance: Semantic Intelligence DSPM, risk monitoring, remediation, Semantic DLP / GenAI controls |
|---|---|---|
| How a risk closes | Inventory and classify in-environment; map human and AI access paths; posture and DDR findings drive remediation in existing workflows | Semantic categorization and Risk Distance-style monitoring; remediate entitlements and sharing; Semantic DLP on GenAI channels |
| Deploy | Agentless connectors; scan inside the customer environment; optional lightweight on-prem scanners | SaaS connectors for cloud; virtual proxy for on-prem; Semantic DLP as a browser extension |
| Classification shape | AI-assisted classification with business context; petabyte-scale inventory with clustering and sampling for large object populations | Patented semantic / deep-learning classification without regex-first rules or trainable classifiers as the primary story |
| License/pricing | No public list prices; demo / contact (checked 5 Sep 2026) | No public list prices; demo / contact (checked 5 Sep 2026) |
| Who operates it | Data security and cloud security owning AI readiness and multi-cloud data posture | Data security and governance owning semantic risk, access, and GenAI data controls |
Funding reinforces depth in the same category rather than erasing the split. On 22 April 2025 Sentra announced a $50M Series B led by Key1 Capital, bringing total funding to more than $100M, framed around a cloud-native data security platform and data security for AI. On 24 October 2024 Concentric AI announced a $45M Series B led by Top Tier Capital Partners and HarbourVest, bringing total funding to more than $67M, framed around AI-driven data security governance and Semantic Intelligence DSPM.
That training-ingest fear is why DSPM shows up next to GenAI projects. Between these two, ask whether the urgent gap is scalable cloud inventory for AI readiness (Sentra) or semantic risk and governance across stores and AI channels (Concentric).
We reviewed first-party documentation, funding notices, pricing paths, and live community threads. We did not test the products in paid production environments, so this is not a hands-on benchmark.
Sentra

Concentric AI

Editions and pricing
Neither publishes a self-serve monthly card on the pricing paths we checked on 5 Sep 2026. Both route buyers to demo or contact sales. Funding is a durability signal for roadmap, not a substitute for a POC on your riskiest stores.
| Owner (2026) | Independent. Cloud-native data security; CEO Yoav Regev | Independent. Semantic data security governance; CEO Karthik Krishnan; San Mateo |
|---|---|---|
| How you buy it now | Demo / contact; no public seat or TB list price (checked 5 Sep 2026) | Demo / contact; no public seat or TB list price (checked 5 Sep 2026) |
| Public units | No public units on the pricing path | No public units on the pricing path |
| Funding signal | More than $100M total; $50M Series B Key1, Apr 2025 | More than $67M total; $45M Series B Top Tier and HarbourVest, Oct 2024 |
If procurement demands a published sticker price before a technical POC, neither of these two will satisfy that filter today. Design the POC around your largest unstructured and warehouse stores instead.
Discovery and classification
| Primary surface | Agentless multi-cloud and SaaS inventory; in-environment scanning; classification with business context at scale | Semantic Intelligence discovery across cloud and on-prem; meaning-based categories for PII, IP, and business-critical content |
|---|---|---|
| Scale story | Inventory-first clustering and sampling for large object populations; continuous delta rescans | Autonomous categorization without upfront rules as the commercial center; connectors plus on-prem proxy |
| Access context | Maps identities and AI agents to data; DAG and toxic-combination posture | Entitlements, risky sharing, wrong location, and unauthorized access as risk monitors |
| What teams argue about | Whether petabyte-scale agentless inventory is the bottleneck before AI rollout | Whether semantic accuracy and remediation beat another regex-tuned classifier |
Noise is the POC test either way. Ask Sentra for how inventory and classification stay actionable at your object counts. Ask Concentric for how semantic categories cut false positives without a rules farm.
AI data risk and governance
| AI readiness angle | Continuous AI data readiness: what Copilot, RAG, and agents can reach; shadow AI inventory; guardrails before broad rollout | GenAI governance and Semantic DLP: Copilot and browser GenAI monitoring; shadow GenAI; access governance for AI apps |
|---|---|---|
| Control shape | Discover, classify, map access, then enforce through posture and existing security workflows | Discover and govern with semantic context; remediate; DLP-style controls on AI interaction channels |
| Breadth beyond cloud object stores | Cloud, SaaS, warehouses, collaboration, on-prem scanners for file shares and databases | Cloud and on-prem repositories plus messaging; Semantic DLP for GenAI tools in the browser |
| What teams argue about | Whether AI readiness inventory is enough without channel DLP | Whether semantic GenAI governance covers cloud estate discovery depth |
Same-season shortlists sometimes name Sentra and Concentric together with other DSPM vendors. That is category timing. Treat the AI seat as inventory-and-readiness versus semantic-governance-and-DLP, then run both POCs on the same Copilot or RAG path if the committee still insists they are twins.
Where they overlap
Both sell DSPM-shaped discovery and classification. Both talk GenAI and Copilot risk. Both are independent Series B companies with no public sticker price. Overlap is vocabulary and buyer season, not identical operating centers. Buying both without a job split duplicates spend and ticket ownership.
When to use both
Running both can be honest when jobs stay separate: Sentra for agentless multi-cloud inventory and AI data readiness at scale, Concentric for semantic risk governance and GenAI channel controls. Keep ownership clear so two classifiers do not fight the same sharing ticket.
Skip Concentric for this pair if the urgent buy is petabyte-scale cloud discovery for AI readiness and governance tooling already owns semantic labeling. Skip Sentra for this pair if the buying committee standardized on semantic data governance plus GenAI DLP and cloud inventory is already covered.
Decide the job first. If the product must deepen agentless cloud discovery and AI data readiness, that is Sentra. If the product must deepen semantic data risk governance and GenAI controls, that is Concentric AI. Only then book the demos.
FAQs
Are Sentra and Concentric AI the same DSPM product?
No. Both sit in DSPM shortlists, but between these two Sentra leads with cloud-native agentless discovery and AI data readiness, and Concentric leads with Semantic Intelligence risk monitoring and data security governance.
Do either publish list prices?
Not on the public pricing paths checked 5 Sep 2026. Both route to demo or contact sales. Do not invent a per-TB or per-seat number from a third-party blog.
How much have they raised?
Sentra: more than $100M total after a $50M Series B in April 2025 (Key1). Concentric AI: more than $67M total after a $45M Series B in October 2024 (Top Tier and HarbourVest). Funding is a roadmap signal, not proof the jobs are identical.
Is this a scored bake-off?
No. Order is editorial.