All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Sentra sells an agentless platform that discovers, classifies, and governs sensitive data where it lives, across cloud, SaaS, and on-premises estates, and has repositioned that foundation as the data layer enterprises need before rolling out AI assistants and agents. Founders with Israeli military intelligence leadership run it from New York with an Israel-based team, and a $50 million Series B led by Key1 Capital in April 2025 took total funding past $100 million. The platform maps which copilots and agents can reach which data and feeds those signals into DLP, IAM, and SIEM tools customers already run. The accuracy and market-size figures are the company's own, Wiz markets its own DSPM classification per its product page, and Microsoft could bundle similar coverage into buyers' estates.
| Description | Sentra is a data security platform that discovers, classifies, and governs the data across an organization's cloud environments, including datasets that AI tools such as Copilot and Bedrock can access. | [f1] |
|---|---|---|
| Founded | 2021 | [f2] |
| HQ | New York, NY | [f3] |
| Latest funding | Series B, $50M (April 2025) | [f4] |
| Deployment | SaaS | [f5] |
| Compliance | GDPR, ISO 27001, SOC 2 Type 2, TX-RAMP Level 2 | [f5] |
| Product | What it does |
|---|---|
| Sentra | Sentra: Agentless DSPM that discovers, classifies, and governs sensitive data across the estate, including the training sets, RAG stores, and Copilot and Bedrock data that AI applications touch. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Sentra is agentless DSPM that discovers, classifies, and governs sensitive data across the estate, including the training sets, RAG stores, and Copilot and Bedrock data that AI applications touch. It is mapped to the AI Defense Matrix. [f6]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | The enterprise security and governance buyer is clear and Calcalist corroborates an invisible data crisis (s11), but that corroboration is qualitative and the exposure-path quantification stays vendor-relayed (s1, s12), short of independent quantified pain. [s11, s10, s1, s12] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | The product and trust pages document the architecture in detail (s2, s5), but SecurityWeek only describes the scanning mechanism rather than evaluating it (s10) and the Papaya account is a vendor-published case study (s8), so there is no external product validation point. [s2, s5, s10, s8] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | DSPM moved from niche to urgent as AI adoption spread, which Calcalist notes, and the Copilot and Gemini wave is a real driver, but the other signals are the 2026 launch and Wiz integration coverage rather than an analyst placement of Sentra or named buyer demand. [s11, s15, s13, s12] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | Calcalist documents Unit 8200 leadership and senior Microsoft and Datadog roles among the founders (s11, s3), but the record shows no prior in-domain exit or sustained publication record, which is elite pedigree at the present-but-unproven level. [s11, s3, s10] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 | Named customers appear in attributed case studies and homepage case-study cards, the platform sells through AWS Marketplace, and the Wiz and DoControl partnerships give the motion verifiable distribution mechanics covered by independent trade press. The Fortune 500 and revenue-growth claims appear only as company statements relayed by press, which holds the score below exceptional. [s8, s9, s14, s15, s11, s20] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | The 50 million dollar Series B is proportional to the stage with visible shipping across platform launch, Gemini support, and partner integrations, but the tripled-revenue claim and growth multiple are vendor-stated with margins unverifiable (s10, s11, s12), so output per dollar is unconfirmed. CB Insights independently records total funding near $103 million across the company's rounds (s18), and GovInfoSecurity independently reported the Series B and its planned use toward enforcement and remediation (s20). [s10, s11, s12, s7, s18, s20] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 | Calcalist places Sentra among DSPM peers (s11), but the company now leads with a self-coined AI data readiness label backed by its own market projection (s3), a forming category that needs vendor explanation. CB Insights, an independent market-intelligence firm, profiles Sentra alongside data security rivals such as Cyera and Normalyze, which keeps the established category label attached to the company (s18). [s11, s10, s1, s3, s18] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | The in-environment architecture and petabyte-scale classification are real engineering assets, but Sentra distributes through Wiz, which markets its own DSPM classification on its product page (s21), and larger platforms could bundle comparable classification into the estates it scans. No cross-customer data flywheel appears in the public record. [s14, s1, s10, s21] |
Sentra sells to enterprises whose AI rollouts expose data faster than their security teams can govern it. The vendor frames five converging problems, no visibility into what AI can reach, years of data sprawl, overpermissioning, ungoverned dormant data, and agents acting on inherited access, and the buyer is the security or data governance team accountable when a copilot surfaces the wrong content to the wrong person.
Press coverage corroborates the pain without the vendor's vocabulary. Calcalist describes a surge in generative AI use that triggered an invisible data crisis, with sensitive corporate data exposed in unpredictable ways and the problem poorly understood and increasingly ungovernable, and SecurityWeek frames the funding around keeping sensitive data out of misconfigured AI workflows.
The AI wave sharpens a problem Sentra already sold against. The company built its business on cloud data discovery and classification, and the same shadow data and permission sprawl that drove DSPM purchases now decides whether Copilot, Gemini, and custom agents can be deployed safely, which gives the pitch a present-tense trigger. [s1, s11, s10, s12]
The Sentra platform discovers and classifies data inside the customer's own environment rather than copying it out. Product pages describe agentless, cloud-native enumeration at petabyte scale, statistical sampling of structured data with full scans of unstructured content, incremental rescans of changes only after the initial pass, and AI-driven classification the vendor puts at 98%+ accuracy with context such as a contract versus a report or production versus test data.
The AI-asset coverage extends the same engine to what copilots and agents can reach. The platform inventories AI agents and their knowledge sources, traces lineage feeding training and fine-tuning, enforces least privilege for AI identities, and monitors interactions so responses are not grounded on sensitive content, with the launch release naming AWS Bedrock, Azure OpenAI, Google Vertex AI, Snowflake Cortex, and Microsoft 365 Copilot as covered surfaces.
Independent validation trails the documentation. SecurityWeek describes the in-place scanning and LLM classification mechanism, and Papaya Global attests to finding critical misconfigurations and unprotected shadow data, but the accuracy figure, the Fortune 500 bake-off table, and the operational claims such as nine petabytes scanned in under 72 hours are the vendor's own, and no public documentation portal or self-service trial appears in fetched pages. [s2, s6, s12, s10, s8, s1, s5]
Sentra competes in a crowded DSPM field and positions against it by name. Calcalist places the company alongside Cyera, BigID, and Varonis, and Sentra's own site maintains comparison pages against those three plus Securiti, Wiz, and Concentric, a level of direct engagement that signals feature-led evaluation battles.
The claimed differentiation is architectural. Marketing contrasts in-environment scanning, where no data leaves the customer's perimeter, against rivals it describes as copying data to the vendor, and pairs that with scale and cost claims from a Fortune 500 bake-off it says it won. Those comparisons are vendor-voice, and the unnamed losing vendor cannot be checked.
The repositioning is the more interesting competitive move. By renaming the category AI data readiness and projecting it as a distinct market, Sentra is trying to escape commodity classification pricing and attach itself to AI budgets, while its partnership with Wiz, a competitor that sells its own DSPM, shows the company choosing coexistence with the platforms it cannot outdistribute. [s11, s1, s14, s3, s2]
Sentra runs an enterprise sales-assisted motion with no self-service path. The pricing page collects contact details for a custom quote, the AWS Marketplace listing sells 12-month contract tiers through the marketplace's procurement workflow, and the leadership page shows a hired chief revenue officer and chief marketing officer carrying the commercial organization.
Named evidence anchors a traction story the company mostly tells itself. Papaya Global describes deployment and outcomes in an attributed case study, the homepage displays case-study cards for Global-e, SoFi, and Valenz Health, and Calcalist reports customers across financial services, insurance, healthcare, pharma, and technology, and the company claims tripled year-over-year revenue and several Fortune 500 additions, figures no third party has verified. A 4.9 Gartner Peer Insights rating appears as the vendor displays it.
Partnerships extend distribution into adjacent consoles. The April 2026 Wiz integration puts Sentra's classifications inside the Wiz Security Graph through the Wiz Integration Network, the December 2025 DoControl partnership connects classification to SaaS enforcement. The Wiz integration carries independent trade coverage, while the DoControl partnership is vendor-announced. [s4, s9, s3, s8, s11, s1, s14, s15, s7]
The founding team's intelligence pedigree is documented independently of the vendor. Calcalist names Asaf Kochan, president and former Commander of Unit 8200, Yoav Regev, CEO and former Head of Cyber Department in Unit 8200, Ron Reiter, CTO and serial entrepreneur, and Yair Cohen, VP of Product with prior senior roles at Microsoft and Datadog.
The bench around the founders filled out ahead of the current push. The leadership page lists ten executives including Scott O'Rourke as chief revenue officer, Doug Laird as chief marketing officer, an SVP of finance, and VPs for R&D, operations, and customer success, and Calcalist counted 85 employees with 60 in Israel at the April 2025 raise, a conventional Israeli engineering and US go-to-market split run from current offices in New York and Tel Aviv. Israel's national company registry lists the firm as an active private company incorporated in July 2021 (s19).
Investor behavior reinforces the signal. Key1 Capital led the Series B with Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures participating, existing backers returning for a round that pushed total funding past $100 million. [s11, s3, s10, s17, s19]
Sentra's trust collateral is ahead of most companies at its stage. The trust center documents an annual SOC 2 Type 2 audit, ISO/IEC 27001:2022 certification from the Standards Institution of Israel issued May 2025 and valid through May 2028, a named subprocessor list, annual third-party penetration testing, and a secure development lifecycle with SAST and SCA scanning.
The architecture doubles as the trust pitch. Scanners deploy inside the customer's cloud with read-only permissions, customer data never leaves its region, only metadata reaches Sentra for analysis, and encryption uses AES-256 at rest and TLS 1.2 or higher in transit, a posture aimed directly at regulated buyers with residency requirements.
The gaps are procedural rather than structural. The SOC 2 report requires an NDA, no FedRAMP or public-sector motion appears in fetched pages, and the product's compliance-enablement claims for GDPR, CCPA, HIPAA, and PCI are the vendor's own characterization of what the platform helps customers achieve. [s5, s6, s4]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Cyera | competes with | Named by Calcalist among Sentra's Israeli DSPM peers, and Sentra maintains a comparison page against it. | |
| BigID | competes with | Data security and privacy platform that Calcalist names in Sentra's peer set and that Sentra targets with a comparison page. | |
| Varonis | competes with | Data security incumbent that Calcalist names among Sentra's competitors and that Sentra's marketing compares itself against. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Securiti | competes with | Data security and governance vendor that Sentra positions against with a dedicated comparison page. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Wiz | competes with | Sells DSPM within its cloud security platform while simultaneously serving as Sentra's integration partner through the Wiz Integration Network. | |
| Microsoft | adjacent | Purview bundles data classification and governance into the Microsoft estate that many Sentra prospects already license. | N/AMicrosoft is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
Add analyzed competitors to compare them side by side with Sentra.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
Sentra is defensible on engineering depth and buyer profile, and exposed on what it accumulates. Petabyte-scale classification that runs inside customer environments reflects years of specialized work, and the regulated enterprises Sentra sells to put procurement, legal, and residency review between the company and any replacement. Against that, customers buy software features rather than judgment or accountability, the reviewed record shows no cross-customer data asset, and no regulation mandates this product class. The watch item is whether classification baselines, remediation workflows, and compliance reporting embed enough that removing Sentra costs more than a bundled alternative saves.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Customers buy a software platform for discovery, classification, and governance and pay for those features. No judgment layer, managed service, or liability acceptance is part of the public offer. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Classification baselines, policies, and remediation signals wired into a customer's DLP, IAM, SIEM, and ticketing workflows create meaningful friction, while the in-environment, metadata-only design means no data gravity holds the customer. No network effects appear in fetched sources. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Sentra holds SOC 2 Type 2 and ISO 27001 attestations, commercial and table-stakes credentials that carry no federal authorization or regulatory mandate. A determined rival could earn the same attestations. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Accurate classification at petabyte scale inside customer environments, with statistical sampling, delta rescans, and near-real-time monitoring across clouds, SaaS, and on-premises stores, is ML and distributed-systems engineering that takes years of specialized expertise. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | Customers span financial services, insurance, healthcare, and pharma per Calcalist, with Fortune 500 emphasis in company materials, and every purchase runs through negotiated enterprise procurement. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Sentra is a platform whose classification signals feed other controls, more than an end-user application, but the consoles that act on its signals belong to other vendors, so it is not yet infrastructure others depend on to function. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | The asset is Sentra's accumulated classification models, but the reviewed record discloses no non-public cross-customer corpus and no demonstrated compounding data advantage. The market contains multiple competing classification vendors, so this IP is replicable engineering rather than a proprietary data moat. CB Insights independently lists Cyera, Normalyze, and Open Raven among Sentra's competitors, corroborating a populated rival field. |
Sentra targets regulated enterprises with large multi-cloud data estates. Calcalist reports customers across financial services, insurance, healthcare, pharma, and technology, the verticals where data exposure carries regulatory cost, and the vendor's site adds solution pages for financial services, healthcare, and retail. The personas span the security team that owns exposure risk and the governance team that owns AI compliance, with the launch release addressing both.
Recent public activity and customer proof are worth separating. The reviewed record shows current go-to-market and product motion, the platform launch drew trade coverage on June 2, 2026 and the Wiz integration release is dated April 15, 2026, while named customer proof spans the detailed Papaya Global case study dated August 14, 2025 and the homepage case-study cards for Global-e, SoFi, and Valenz Health. A launch release and an integration announcement signal product-market contact rather than buyer demand on their own, so the freshest named vendor case study in the reviewed sources is dated August 2025, alongside undated Marketplace reviews carrying 2026 dates. The company also repositioned its pitch for the current AI generation rather than leaving it where DSPM stood in 2024.
Segment boundaries beyond the verticals are not disclosed. The on-premises and SaaS coverage broadens the addressable estate beyond the cloud-native original, a CTO podcast appearance courts midmarket IT leaders, and geographic packaging is not public. The Fortune 500 emphasis in company materials says the deliberate center of gravity is large enterprise.
The claimed mechanism is consistent across vendor and independent descriptions. Sentra enumerates data stores agentlessly through cloud APIs, samples structured data statistically while fully scanning unstructured content, rescans only changes after the initial pass, and classifies with AI models the vendor says understand context such as PHI versus test data. SecurityWeek independently describes the same in-place scanning and LLM classification design.
The claimed AI advantage is model quality and architecture rather than a data moat. The vendor puts classification accuracy at 98%+ and prices scale economics against rivals, but no cross-customer corpus is shown to accumulate from the metadata-only design, so the reviewed sources locate the evidenced advantage in engineering rather than in compounding data. The bake-off table contrasting Sentra with an unnamed top emerging DSPM vendor is the company's own evidence. One asset the design leaves latent is the view Sentra gains tenant by tenant of how PHI, secrets, and regulated records distribute and which copilots reach them, a view Sentra could turn into sharper accuracy baselines or AI-exposure scoring, though the reviewed record shows no such advantage today.
The AI-asset line extends the engine toward what AI can reach. The platform inventories agents and their knowledge sources, traces lineage into training and fine-tuning data, enforces least privilege for AI identities, and monitors AI interactions in near real time, with Bedrock, Azure OpenAI, Vertex AI, Snowflake Cortex, and Microsoft 365 Copilot named as covered surfaces. Only the case study and press descriptions demonstrate capability beyond marketing, since no public documentation portal or self-service trial appears in fetched pages.
Sentra runs an enterprise sales-assisted motion with procurement conveniences attached. The official pricing page, reviewed this analysis, routes buyers through a quote form keyed to data volume and shows no free tier or trial, while the AWS Marketplace listing publishes 12-month contract tiers from $50,000 to $500,000 that enterprises can buy through the marketplace's contract workflow.
The founder-to-hired-team transition is already made, which fits the stage. Scott O'Rourke carries revenue as CRO and Doug Laird marketing as CMO, while the founders front thought leadership rather than deals, with Asaf Kochan writing in Forbes, Yoav Regev profiled on his founding path, and Ron Reiter making podcast appearances. For a company that claims revenue tripled in the year before its Series B, a hired commercial organization is the expected shape rather than premature scaling.
Partner channels extend reach into consoles buyers already run. The Wiz Integration Network places Sentra's classifications inside the Wiz Security Graph, the DoControl partnership connects classification to SaaS enforcement, and a broad set of integration logos across SIEM, SOAR, DLP, ITSM, and identity tooling position the product as a signal source for existing workflows.
Sentra prices by the volume of data at rest, the unit buyers already use to measure their estates. The pricing page states that licenses generally follow data volume across IaaS, PaaS, DBaaS, SaaS, and on-premises environments, which aligns the meter with the problem and lets the bill grow with the estate rather than with seats or scans.
List pricing splits by channel in the reviewed record. The official site keeps prices off the page and routes buyers through a quote form, the posture that fits large negotiated deals and the Fortune 500 emphasis, while the AWS Marketplace listing reviewed this analysis publishes a 12-month contract ladder of Standard $50,000, Essential $100,000, Advanced $250,000, and Enterprise $500,000. The vendor sells cost position aggressively on top of either path, claiming a scanning cost for 100 petabytes roughly a tenth of what it attributes to an unnamed rival, a comparison that is its own bake-off evidence.
The volume unit carries a quiet tension with the product's hygiene pitch. A platform that helps customers delete redundant and obsolete data shrinks the base its own licenses are priced on, and the public record does not show how the model handles that alignment question.
Delivery is agentless and stays inside the customer's environment. The trust center describes scanners deployed in the customer's cloud with read-only permissions, analysis happening where the data was discovered, support for both Sentra-owned and customer-owned scanner accounts, and only metadata leaving for reporting, an architecture that removes egress costs and data-residency objections at once.
Coverage spans the surfaces enterprises actually run. The platform reaches AWS, Azure, and GCP, data warehouses, Microsoft 365 and SaaS applications, and on-premises stores, and the launch release lists immediate availability across the three major clouds. Incremental delta rescans keep coverage current without repeating full scans, the vendor's answer to operational drag at petabyte scale.
Operational proof remains the vendor's own. The nine petabytes scanned in under 72 hours figure comes from the company's bake-off account, Papaya Global describes setup in minutes with results from day one, and no public SLA, status page, or uptime commitment appears in fetched pages.
Sentra's trust posture is a genuine selling asset rather than a checkbox. The trust center documents an annual SOC 2 Type 2 audit, ISO/IEC 27001:2022 certification from the Standards Institution of Israel issued May 2025 and valid through May 2028, a named subprocessor list, annual third-party penetration testing, and a secure development lifecycle with peer review and SAST and SCA scanning.
The architecture carries the trust argument to regulated buyers. Customer data never leaves its region, scanners run read-only, encryption uses AES-256 at rest and TLS 1.2 or higher in transit, and the metadata-only design means Sentra never holds the sensitive content it classifies, the posture a data security vendor must model for credibility.
What remains vendor-stated is the compliance enablement layer. Claims that the product helps customers meet GDPR, CCPA, HIPAA, PCI, and NIST obligations are the company's characterization, the SOC 2 report sits behind an NDA, and no FedRAMP authorization or public-sector program is visible in fetched pages.
Sentra positions as a signal layer for the security stack rather than a console to replace it. The homepage promises that classification signals flow into existing agentic AI, DLP, IAM, ITSM, SIEM, SOAR, and cloud platforms with no parallel stack required, and a broad set of integration logos backs the claim, so the platform ambition is to become the data-context input every other control consumes.
The partnership pattern delegates enforcement to the ecosystem. Wiz consumes Sentra's classifications for attack-path prioritization, DoControl consumes them for SaaS enforcement, and the launch release describes remediation through customers' existing DLP, IAM, and AI gateway controls, a complement strategy that lowers adoption friction while making Sentra's value depend on partners' consoles.
The layer framing is also the company's expansion thesis. Renaming the category AI data readiness and projecting it from $2.1B in 2026 to $15.5B by 2030 stakes a claim to AI budgets beyond DSPM, but the projection is the vendor's own, Wiz markets built-in classification on its own DSPM page, and Microsoft could bundle similar coverage into the estates buyers already license.
The founding team maps directly onto the problem. Calcalist documents Asaf Kochan as president and former Commander of Unit 8200, Yoav Regev as CEO and former Head of Cyber Department in Unit 8200, Ron Reiter as CTO and serial entrepreneur, and Yair Cohen as VP of Product with senior roles at Microsoft and Datadog, intelligence-grade data handling experience paired with commercial product leadership.
The organization has scaled past founder-only execution. The leadership page lists ten executives spanning revenue, marketing, finance, R&D, operations, and customer success, and Calcalist counted 85 employees with 60 in Israel at the April 2025 raise, a conventional Israeli engineering and US go-to-market split run from New York.
Investor composition matches the enterprise ambition. Key1 Capital led the $50 million Series B with Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures participating, returning backers that pushed total funding past $100 million, and Munich Re's presence hints at the insurance-adjacent compliance angle. GovInfoSecurity's coverage describes the company as founded by an Israeli military intelligence colonel and names Key1 Capital as the lead investor (s18).
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Sentra: Data Security Platform | official | 2026-07-09 |
| f2 | PR Newswire on Sentra launching in the US market | press | 2026-06-14 |
| f3 | Sentra homepage | official | 2026-06-11 |
| f4 | SecurityWeek on the Sentra Series B (April 2025) | press | 2026-06-11 |
| f5 | AI Defense Matrix Catalog entry | other | 2026-06-13 |
| f6 | AI Defense Matrix Catalog mapping | other | 2026-06-23 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Sentra homepage (displays Global-e, SoFi, and Valenz Health case-study cards alongside the Papaya Global study, rendered 2026-07-02) “Sentra discovers, classifies, and governs every dataset AI can touch, from Copilot to Bedrock, at petabyte scale.” | official | 2026-07-02 |
| s2 | Sentra product overview page “98%+ Accurate AI-driven Classification ... Smart Sampling & metadata-driven clustering ... Sample structured data by like metadata type to be statistically representative. Fully scan unstructured, human content. ... After the initial scan, only data changes get scanned.” | official | 2026-07-02 |
| s3 | About Sentra leadership page “The AI Data Readiness market is projected to grow from $2.1B in 2026 to $15.5B by 2030, a ~65% CAGR.” | official | 2026-06-18 |
| s4 | Sentra pricing page “Generally, Sentra licenses are based on the volume of data stored (data at-rest) across all your IaaS, PaaS, DBaaS, SaaS and on-premises environments.” | official | 2026-06-11 |
| s5 | Sentra Trust Center “Sentra undergoes an annual SOC 2 Type 2 audit against the AICPA Trust Services Criteria to verify the safeguards applied to customer data and how well those controls operate.” | official | 2026-06-18 |
| s6 | Sentra for AI and ML assets page “Sentra monitors the interactions with AI assets, ensuring that AI-generated responses are not grounded on and include sensitive information and that no malicious prompts are executed.” | official | 2026-06-18 |
| s7 | Sentra newsroom “Sentra and DoControl announce a strategic partnership that connects data classification with automated enforcement, enabling organizations to protect sensitive data across SaaS environments.” | official | 2026-06-11 |
| s8 | Papaya Global case study (August 14, 2025) “Compared to other solutions we reviewed, Sentra's implementation was simpler and effective, providing visibility and insights from day one, making a perfect out of the box experience.” | official | 2026-06-11 |
| s9 | AWS Marketplace listing for the Sentra Cloud Data Security Platform “Sentra is a data security platform that helps you discover and remediate the top data security risks in your public cloud.” | other | 2026-07-02 |
| s10 | SecurityWeek on the Sentra Series B (April 2025) “Cloud data security startup Sentra on Tuesday announced $50 million in new investments from Key1 Capital, Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures.” | press | 2026-06-11 |
| s11 | Calcalist CTech on the Sentra Series B (April 22, 2025) “Enter Sentra, an Israeli cybersecurity company that just raised $50 million in Series B funding, bringing its total capital to more than $100 million.” | press | 2026-06-11 |
| s12 | Sentra platform launch release (PR Newswire, June 2, 2026) “complete visibility through a classified inventory of sensitive data across cloud, SaaS, collaboration, data warehouse, and AI environments, including AWS Bedrock, Azure OpenAI, Google Vertex AI, Snowflake Cortex, Microsoft 365 Copilot, and more” | press | 2026-06-11 |
| s13 | ITBrief UK on the Sentra platform launch (June 2026) | press | 2026-06-11 |
| s14 | Sentra and Wiz integration release (PR Newswire, April 15, 2026) “By joining the Wiz Integration Network (WIN), Sentra enriches the Wiz Security Graph with data sensitivity intelligence, enabling joint customers to discover, prioritize and eliminate data risks hidden inside cloud resources” | press | 2026-06-11 |
| s15 | SecurityBrief US on the Sentra and Wiz integration (April 16, 2026) “Sentra has launched an integration with Wiz that adds data classification to the Wiz Security Graph, helping joint customers identify which cloud security findings involve sensitive data.” | press | 2026-06-11 |
| s16 | Calcalist CTech on the Sentra founders' backgrounds “Yair Cohen, VP of Product, who previously held senior leadership roles at Microsoft and Datadog.” | press | 2026-06-13 |
| s17 | Sentra contact page listing current offices “US Office 101 Avenue of the Americas, New York, NY 10013. Israel Office Leonardo da Vinci St 2, Tel Aviv, Israel.” | official | 2026-06-19 |
| s18 | CB Insights company profile for Sentra “Sentra was founded in 2021. ... Sentra raised a total of $103M. ... Competitors of Sentra include Cyera, CloudWize, Normalyze, Open Raven, Eureka and 7 more.” | other | 2026-06-29 |
| s19 | Israel Registrar of Companies record for SENTRA LTD, company number 516431202, active private company incorporated 11/07/2021, Tel Aviv-Yafo “"שם באנגלית":"SENTRA LTD","סוג תאגיד":"ישראלית חברה פרטית","סטטוס חברה":"פעילה","תאריך התאגדות":"11/07/2021","שם עיר":"תל אביב - יפו"” | regulatory | 2026-06-29 |
| s20 | GovInfoSecurity (ISMG) on the Sentra Series B by Michael Novinson, April 22, 2025 “New York-based Sentra plans to use the Series B proceeds to build capabilities in enforcement, add native remediation features and label sensitive data to inform access management for AI platforms such as Copilot, according to co-founder and CEO Yoav Regev.” | press | 2026-06-29 |
| s21 | Wiz DSPM solution page, the rival's own marketing of built-in data classification “Discover and classify sensitive data in your cloud with built-in classification rules including PII, PHI, PCI, and secrets or define custom classifiers, all without agents.” | official | 2026-07-02 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Sentra homepage “Sentra discovers, classifies, and governs every dataset AI can touch, from Copilot to Bedrock, at petabyte scale.” | official | 2026-06-11 |
| s2 | Sentra product overview page “98%+ Accurate AI-driven Classification ... Smart Sampling & metadata-driven clustering ... Sample structured data by like metadata type to be statistically representative. Fully scan unstructured, human content. ... After the initial scan, only data changes get scanned.” | official | 2026-07-02 |
| s3 | About Sentra leadership page “The AI Data Readiness market is projected to grow from $2.1B in 2026 to $15.5B by 2030, a ~65% CAGR.” | official | 2026-06-11 |
| s4 | Sentra pricing page “Generally, Sentra licenses are based on the volume of data stored (data at-rest) across all your IaaS, PaaS, DBaaS, SaaS and on-premises environments.” | official | 2026-06-16 |
| s5 | Sentra Trust Center “Scanners are typically deployed inside the customer's cloud with read-only permissions, and customer data never leaves its region, all analysis happens where the data was discovered.” | official | 2026-06-11 |
| s6 | Sentra for AI and ML assets page “Sentra monitors the interactions with AI assets, ensuring that AI-generated responses are not grounded on and include sensitive information and that no malicious prompts are executed.” | official | 2026-06-11 |
| s7 | Sentra newsroom “Sentra and DoControl announce a strategic partnership that connects data classification with automated enforcement, enabling organizations to protect sensitive data across SaaS environments.” | official | 2026-06-11 |
| s8 | Papaya Global case study (August 14, 2025) “Sentra's ability to help us find and remediate potential data risks, was proven immediately by finding critical misconfigurations and unprotected shadow data” | official | 2026-06-11 |
| s9 | AWS Marketplace listing for the Sentra Cloud Data Security Platform “12-month contract: Standard $50,000.00, Essential $100,000.00, Advanced $250,000.00, Enterprise $500,000.00.” | other | 2026-07-02 |
| s10 | SecurityWeek on the Sentra Series B (April 2025) “Cloud data security startup Sentra on Tuesday announced $50 million in new investments from Key1 Capital, Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures.” | press | 2026-06-11 |
| s11 | Calcalist CTech on the Sentra Series B (April 22, 2025) “Enter Sentra, an Israeli cybersecurity company that just raised $50 million in Series B funding, bringing its total capital to more than $100 million.” | press | 2026-06-11 |
| s12 | Sentra platform launch release (PR Newswire, June 2, 2026) “Sentra maps sensitive data to the users, groups, service accounts and AI identities that can access it, helping teams enforce least privilege based on data sensitivity and business context.” | press | 2026-06-11 |
| s13 | ITBrief UK on the Sentra platform launch (June 2026) | press | 2026-06-11 |
| s14 | Sentra and Wiz integration release (PR Newswire, April 15, 2026) “NEW YORK, April 15, 2026 /PRNewswire/ -- Sentra ... today announced a new integration with Wiz (now part of Google Cloud) that adds data awareness to cloud security findings.” | press | 2026-06-16 |
| s15 | SecurityBrief US on the Sentra and Wiz integration (April 16, 2026) “Sentra has launched an integration with Wiz that adds data classification to the Wiz Security Graph, helping joint customers identify which cloud security findings involve sensitive data.” | press | 2026-06-11 |
| s16 | Calcalist CTech on the Sentra founders' backgrounds “Yair Cohen, VP of Product, who previously held senior leadership roles at Microsoft and Datadog.” | press | 2026-06-13 |
| s17 | CB Insights company profile for Sentra “Sentra raised a total of $103M. ... Competitors of Sentra include Cyera, CloudWize, Normalyze, Open Raven, Eureka and 7 more.” | other | 2026-06-29 |
| s18 | GovInfoSecurity (ISMG) on the Sentra Series B by Michael Novinson, April 22, 2025 “A startup founded by an Israeli Military Intelligence colonel raised $50 million to help enterprises secure ... Sentra's Series B funding round was led by Key1 Capital.” | press | 2026-06-29 |
| s19 | Wiz DSPM solution page, the rival's own marketing of built-in data classification “Discover and classify sensitive data in your cloud with built-in classification rules including PII, PHI, PCI, and secrets or define custom classifiers, all without agents.” | official | 2026-07-02 |
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