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.
Cyera sells a data security platform to large enterprises. It finds and classifies sensitive data in cloud, SaaS, and on-premises stores. It controls how people and AI reach that data and blocks risky actions in real time. Founded in 2021, it has raised over $2.3 billion, most recently $600 million led by Evolution Equity Partners at a $12 billion valuation. Fortune reports AT&T, Peloton, Nordstrom, and Chipotle as customers, and Cyera reports more than 1,500 employees. Analyst firm Forrester named Cyera a Leader among sensitive data discovery and classification vendors in 2026. Its classification engineering and large-enterprise customers are what a rival would take longest to match. Cloud platform vendors could bundle comparable classification into software enterprises already license.
| Description | Cyera is a data security platform that helps enterprises protect their sensitive data, govern access to it, and secure how AI systems use it across the organization. | [f1] |
|---|---|---|
| Founded | 2021 | [f2] |
| HQ | New York, USA | [f3] |
| Funding | $2,300M total | [f4] |
| Latest funding | Series G, $600M at $12B valuation (2026) | [f5] |
| Deployment | SaaS | [f6] |
| Compliance | C5, GDPR, HIPAA, ISO 27001, PCI DSS, SOC 2 | [f6] |
| Product | What it does |
|---|---|
| Cyera | Data security platform that discovers and classifies sensitive data across the enterprise, surfaces shadow AI, controls what data AI can reach, and prevents sensitive-data leakage to AI in real time. |
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. |
Cyera is a data security platform that discovers and classifies sensitive data across the enterprise, surfaces shadow AI, controls what data AI can reach, and prevents sensitive-data leakage to AI in real time. It is mapped to the AI Defense Matrix. [f7]
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. | 4/5 | Cyera names the buyer, the enterprise security and data team that cannot see where sensitive data lives or which AI tools reach it, and Forrester names sensitive data discovery and classification a live enterprise category. Press ties the surging demand to enterprise AI adoption, so the pain is corroborated beyond vendor marketing. [s11, s8, s2] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 5/5 | Cyera was named a Leader in the Forrester Wave for sensitive data discovery and classification with the top strategy score and the highest possible marks in nine criteria, a press-relayed analyst result that supports a top score. The platform documents DSPM, Omni DLP, Access Trail, and AI Guardian as distinct modules with real-time AI inspection. [s11, s4, s10] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 | The enterprise AI boom since Cyera's 2021 founding turned data exposure into a running condition, Forrester names sensitive data discovery a live category, and Fortune names blue-chip enterprises adopting, multiple buyer-side signals. The accelerating capital is investor rather than buyer demand, so timing is strong rather than exceptional. [s9, s11, s2, s7] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | Co-founders Yotam Segev and Tamar Bar-Ilan bring Talpiot and Unit 8200 pedigree and an elite board including Frank Slootman and Doug Leone. The public record shows no prior founder exit or sustained publication, so the demonstrated track record is present but unproven. [s5, s7, s9] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 | Fortune independently names AT&T, Peloton, Nordstrom, and Chipotle as customers, the former Paramount CISO Pete Chronis, now a Cyera board member, endorses the product on Cyera's homepage while the Paramount case study reports the outcomes, and Cyera claims a fifth of the Fortune 500 as customers as relayed by TechCrunch, multiple named references with independent naming led by Fortune. The recurring-revenue growth stays company reported and disputed, so traction is strong rather than exceptional. [s9, s1, s14, s5, s8] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 2/5 | Cyera has raised more than 2.3 billion dollars in total and lifted its valuation to 12 billion through four rounds in 18 months, while TechCrunch reports it at roughly 150 million dollars of recurring revenue with operating losses, a figure Cyera disputes. An outsized raise priced far ahead of reported revenue with operating losses scores 2. [s8, s7, s6] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 | Forrester placed Cyera as a Leader in the named, established sensitive data discovery category and press positions it as a data-security-for-AI leader. The analyst placement is vendor-displayed and press-relayed rather than directly fetched, and Cyera is one of several Wave Leaders rather than the singular definer, so placement is strong rather than exceptional. [s11, s8, s3] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Cyera unifies discovery, DLP, access governance, and AI runtime control into one platform embedded in Fortune-scale procurement, which raises switching effort, but Microsoft Purview and the cloud platforms hold the same data and could plausibly bundle comparable classification, and no cross-customer data flywheel appears in the record. [s2, s9] |
Cyera sells against the gap between how fast enterprises adopt AI and how little they can see of the sensitive data that AI reaches. The buyer is the security and data team at a large enterprise that cannot inventory where regulated data lives across cloud, SaaS, and on-premises systems, let alone control which copilots and agents touch it. Cyera frames the platform as the trust layer that lets a company run AI at scale by governing what that AI can see and do.
The problem is corroborated outside Cyera's own marketing. Forrester named Cyera a Leader in its 2026 evaluation of sensitive data discovery and classification, which places the category as a live enterprise concern with established buyers rather than a vendor-coined niche. TechCrunch ties the surge in demand to the rise of enterprise AI.
The enabler that opened the window is the rise of enterprise AI and agents. As employees and applications began using AI faster than security teams could track, the data-visibility problem shifted from a periodic audit to a running condition, which is the demand Cyera's discovery, classification, and runtime controls sell against. [s11, s8, s2]
Cyera packages data security for AI as one platform with several named modules rather than a single feature. DSPM discovers and classifies sensitive data across an organization's datastores, Omni DLP consolidates data-loss prevention, and Access Trail tracks how humans and AI reach that data. AI Guardian adds the AI-specific layer, combining posture management that inventories shadow and sanctioned AI with AI Protect, which monitors prompts, responses, and actions to block prompt injection, jailbreaks, and data exfiltration in real time.
The capability claims carry a third-party analyst result. Forrester awarded Cyera the top score in its strategy category and the highest possible marks across nine criteria, a Forrester result Cyera relays through the press rather than vendor description alone, which supports its claim to capability depth. SiliconANGLE quotes the company describing an AI classification engine that reads for meaning rather than applying labels, the edge Cyera says it built.
Breadth came quickly and partly by acquisition. Cyera says it shipped more than 100 capabilities across DSPM, privacy, identity, DLP, and agentic security and completed five acquisitions in 18 months to deepen AI governance. That pace builds coverage fast, and it leaves open whether the acquired pieces integrate as one platform or as assembled parts a buyer must stitch together. [s4, s11, s7, s10, s2]
Cyera competes both with data-security specialists and with the platforms positioned to absorb the category. Sentra, BigID, and Varonis contest the same DSPM and data-classification buyer, while Microsoft Purview and the cloud providers offer classification inside suites enterprises already license. Cyera's answer is to be broader than a point tool, unifying discovery, DLP, access governance, and AI runtime control as the single layer that governs what AI can see and do.
The Forrester leadership and named Fortune customers give Cyera strong independent footprint for a private vendor. Forrester described a vision for Cyera to become a decision control layer for data, and Fortune names AT&T, Peloton, Nordstrom, and Chipotle as customers, which places Cyera in real enterprise deployments rather than design partnerships. That footprint shows genuine enterprise adoption, though the specialist peer BigID reaches the same buyer.
The structural question is whether a standalone trust layer survives platform bundling. The same hyperscalers and the Microsoft stack that Cyera scans also sell their own data classification, so Cyera is betting that depth across the full data-to-AI path is harder to bundle than any single control. That bet is plausible at Fortune-scale procurement, but the public record does not yet show a data advantage rivals could not eventually replicate. [s11, s9, s2]
Cyera shows strong independently corroborated traction for its peer set. Fortune names AT&T, Peloton, Nordstrom, and Chipotle as customers, the firmest independent signal. Pete Chronis, the former Paramount CISO who now sits on Cyera's board, is quoted on Cyera's homepage saying the company identified billions of sensitive records after scanning trillions, and the Paramount case study reports the deployment outcomes. Cyera also claims a fifth of the Fortune 500 as customers, a figure TechCrunch relays.
The growth signals behind the motion stay company reported. Cyera says annual recurring revenue has tripled for three consecutive years and that it reached more than 1,500 employees, figures press relays as the company's own, and TechCrunch reports the underlying revenue at roughly 150 million dollars with operating losses, numbers Cyera disputes. The repeated tier-one funding, four rounds in 18 months, is the market voting on that momentum even where the audited revenue stays private.
Distribution and validation reinforce the motion. Forrester scored Cyera highest possible on adoption among the strategy criteria, a signal of real deployment among reference accounts. What an outside buyer cannot yet verify is the revenue scale or net retention behind the tripling claim that TechCrunch puts near 150 million dollars. [s9, s8, s7, s1, s14, s11, s5]
Cyera's founders carry the elite Israeli cyber-intelligence pedigree common to this category. Co-founder and CEO Yotam Segev and co-founder and CTO Tamar Bar-Ilan are alumni of Israel's Talpiot program and served in Unit 8200, the military signals-intelligence unit that has produced a generation of security founders. They started Cyera in 2021 and have run it through four years of rapid scaling, and the leadership page also names Yonatan Itai as co-founder and VP of R&D.
The board signals unusual operator and investor weight for a private company. Cyera's directors include Frank Slootman, former CEO of Snowflake and ServiceNow, Doug Leone of Sequoia Capital, and Stripe finance chief Steffan Tomlinson, alongside the partners who led its funding rounds. That is backing from people who have built and scaled enterprise software at global scale.
What the public record does not yet show is a prior security exit or a sustained research and publication record from the founders. The team's credibility comes from building Cyera itself and on the people backing it, which is strong evidence of operating capability without the longer track of repeat builders that marks the strongest teams in this category. [s5, s7, s9]
Cyera presents an enterprise-ready posture for sensitive-data buyers. The platform inspects where regulated data lives and which AI tools reach it across Fortune-scale estates, and the company supports that with a SafeBase trust center that lists ISO/IEC 27001, PCI DSS, GDPR, and CCPA, alongside named customers and the Forrester evaluation that security buyers can cite in their own reviews. For a buyer, the attestations and on-record references reduce the diligence burden a younger vendor would carry.
The readiness gap sits in what the platform now reaches rather than in market credibility. Cyera's AI Guardian monitors live AI prompts, responses, and actions and blocks data exfiltration in real time, so a security review will scrutinize how that runtime inspection handles the organization's own AI traffic and where that data is processed. As Cyera moves from posture discovery into real-time enforcement on production AI, the assurance evidence around that runtime path is the item most likely to surface in a careful procurement. [s13, s4, s11]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Sentra | competes with | Same-asset DSPM and data-classification vendor with Unit 8200 founders, the closest specialist peer contesting the same enterprise data security buyer. | |
| BigID | competes with | Data discovery, classification, and privacy platform and a fellow Forrester Wave Leader, a direct DSPM peer to Cyera. | |
| Varonis | competes with | Data security and access governance vendor competing in classification and data monitoring at enterprise scale. | 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. |
| Microsoft Purview | adjacent | Data governance and classification bundled into Microsoft's stack, the platform best positioned to absorb the budget line Cyera defends. | |
| Securiti | competes with | Data command center spanning discovery, classification, and AI data governance, overlapping Cyera's full data-to-AI path. | 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. |
Add analyzed competitors to compare them side by side with Cyera.
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
Cyera defends its position with engineering depth and its buyer profile, and is exposed on what it does not accumulate. Classifying petabytes of cloud, SaaS, and on-premises data while inspecting AI prompts and actions in real time takes years of specialized engineering. Its Fortune-scale buyers sign negotiated deals. A customer that leaves must rebuild classification baselines and policies wired into data-loss, access, and identity workflows. Yet customers buy software features rather than judgment, ISO 27001 and PCI DSS are certificates any rival can earn, and no cross-customer data asset appears in the record. Watch whether its discovery, data-loss, access, and runtime controls embed enough that removing Cyera 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, access governance, and runtime blocking and pay for those features. Cyera offers DataWatcher managed services as an option, but the core delivered artifact is software the customer runs rather than a judgment-or-accountability service, so it holds at 1. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Classification baselines and policies wired into DLP, access, and identity workflows create meaningful friction, while the agentless, in-environment design means no data gravity holds the customer, below the system-of-record lock that earns a 3. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Cyera's trust center lists ISO/IEC 27001 and PCI DSS, but these are commercial table-stakes attestations that carry no compliance moat, and no regulation mandates the product class, so compliance blocks no replacement. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | AI-native classification across hundreds of petabytes spanning cloud, SaaS, and on-premises stores with an agentless architecture, plus real-time inspection of AI prompts, responses, and actions, is machine-learning 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 | The named Fortune-scale customers and the negotiated enterprise motion that reaches them carry this score, with independent press naming AT&T, Peloton, Nordstrom, and Chipotle and TechCrunch relaying a claimed fifth of the Fortune 500. That procurement and legal review at accounts this size impedes replacement stays an inference from account scale rather than a documented gate. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Cyera is a platform whose classification and access signals govern other controls, more than an end-user application, but the data stores and consoles that act on its signals belong to others, so it is not infrastructure other applications 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 agentless, in-environment design keeps customer data in place, and the record shows no named non-public dataset behind the classification models and no cross-customer data asset, so any data advantage is reproducible with effort rather than an asset no one else owns. |
Cyera targets the large enterprise putting AI into production while unable to see where its sensitive data lives or which AI tools reach it. The buyer is the security and data team at a Fortune-scale organization, the same regulated buyer that runs negotiated procurement, and the platform frames itself as the layer that lets a company decide how AI and humans can access and act on sensitive data.
The segmentation rides an established budget line rather than a coined niche. Forrester evaluated sensitive data discovery and classification as a live enterprise category and placed Cyera as a Leader, and Fortune names AT&T, Peloton, Nordstrom, and Chipotle as customers, a concentration on the upper enterprise tier, with Cyera claiming a fifth of the Fortune 500 as customers in reporting relayed by TechCrunch.
The limit is the same as the strength. The motion is built for the enterprise security buyer, with no distinct mid-market or developer track in the record, so the addressable set today is the large regulated account Cyera already pursues through direct sales.
The Cyera platform packages data security for AI as named modules rather than a single feature. DSPM discovers and classifies sensitive data across cloud, SaaS, and on-premises stores, Omni DLP consolidates data-loss prevention, and Access Trail tracks how humans and AI reach that data. AI Guardian adds the AI layer, pairing posture management that inventories shadow and sanctioned AI with runtime enforcement.
The runtime layer is where Cyera moves from discovery into live control. AI Protect monitors AI prompts, responses, and actions and blocks threats such as prompt injection, jailbreaks, and data exfiltration in real time, the capability that distinguishes Cyera from a posture-only scanner.
The differentiation Cyera claims is data context under the classification engine. The platform classifies across hundreds of petabytes with more than 95 percent precision by Cyera's own figure and ties AI activity back to the specific sensitive data it touches, depth a content filter without a data map does not attempt. Whether the discovery-and-classification metadata Cyera accumulates across many customer estates could one day fuel sensitivity-labeling heuristics that a single tenant's data could not train is a latent rather than realized advantage, and the in-environment design that keeps each estate's data in place is why no such cross-customer asset appears in the record today.
Public pages route buyers to demos and show no self-serve purchase path, pointing to direct enterprise sales reinforced by analyst and customer proof. Cyera routes buyers to demos, which suggests negotiated enterprise agreements, and the named Fortune-scale customers and compliance-heavy positioning suggest a focus on large regulated accounts, an inference from the account roster rather than a documented sales strategy. A strong signal is third-party recognition a younger vendor cannot manufacture, a press-relayed Forrester Wave leadership and named customers describing outcomes on the record.
The named traction is concrete for the peer set. Fortune names AT&T, Peloton, Nordstrom, and Chipotle as customers, placing real Fortune buyers in independent coverage rather than on a reference page alone, and Pete Chronis, the former Paramount CISO who now sits on Cyera's board, describes the deployment publicly. Cyera also claims a fifth of the Fortune 500 as customers, a figure TechCrunch relays.
The growth signals behind the motion stay company reported. Cyera says annual recurring revenue has tripled for three consecutive years, a figure press relays as Cyera's own, and TechCrunch reports the underlying revenue at roughly 150 million dollars with operating losses, numbers Cyera disputes, so an outside buyer cannot yet verify the scale.
Cyera does not publish a public rate card. The company exposes no per-unit pricing figures, and the public pages route buyers to demos rather than self-serve sign-up, which points to negotiated quoting, consistent with a vendor selling large deals to security teams.
Public pricing is undisclosed, so any unit model is an outside hypothesis. The platform discovers and classifies across hundreds of petabytes, which makes data volume a plausible cost driver rather than seats, but no cited pricing page states that Cyera prices by scanned data volume, so the inference offers no forecastable benchmark to an outside reader.
The absence of disclosed pricing fits the segment and raises a predictability question. A Fortune account folds Cyera into a negotiated security relationship, while any smaller team faces an opaque, negotiated quote that is hard to budget in advance.
Cyera delivers two deployment shapes against one objection. The platform can run entirely inside the customer cloud or on-premises so sensitive data stays in place, and it also offers a managed SaaS option for teams that want faster time to value, letting the buyer trade control for speed.
Operations lean on an agentless architecture. The platform continuously scans hundreds of petabytes without agents on the workloads, which lowers the deployment burden and lets classification keep pace as the data estate grows rather than requiring per-store instrumentation.
The runtime path raises the heavier operational question. AI Protect inspects live AI prompts, responses, and actions to block threats in real time, so it affects live AI interactions, and a careful buyer will examine how that inspection handles its own AI traffic and where that processing occurs, since the cited pages do not document the deployment topology for that runtime path.
Cyera carries the market posture of an enterprise-default vendor for sensitive data. A SafeBase trust center lists ISO/IEC 27001, PCI DSS, GDPR, and CCPA, a Forrester Wave leadership, and named customers willing to speak, which together reduce the diligence burden a younger vendor would face, and Forrester framed Cyera as well positioned to become a decision control layer for data.
The architecture itself is a trust argument. Because the platform can run wholly inside the customer environment with data remaining in place and under the customer's control, Cyera answers the residency and exposure objection a regulated security review opens with, before the attestations are even discussed.
The unresolved trust surface is the newest one. As Cyera moves from posture discovery into real-time enforcement on production AI through AI Protect, the assurance evidence around that runtime path is the item a careful procurement will probe, and no published independent benchmark of that enforcement appears in the record.
Cyera positions itself as a data security control plane and an AI data-governance layer. It unifies discovery, DLP, access governance, and AI runtime control into one platform positioned to govern what AI can see and do, and Forrester described the ambition as becoming a decision control layer for data, a single layer rather than a point tool.
Outward, the platform spans the estate other vendors fragment. It covers cloud, SaaS, on-premises, and AI tools from public chat assistants to embedded copilots to homegrown agents, so a multi-platform enterprise can centralize data and AI governance rather than stitch together native controls.
Inward, that breadth was assembled fast and partly bought. Cyera shipped more than 100 capabilities in a year and completed five acquisitions in 18 months to widen its data-and-AI-security surface, which builds coverage quickly but leaves the integration quality of the assembled pieces unverified in the public record.
Cyera's founders carry the elite Israeli cyber-intelligence pedigree common to this category. The company is led by three co-founders on the live about page, chief executive Yotam Segev, chief technology officer Tamar Bar-Ilan, and VP of research and development Yonatan Itai. Segev and Bar-Ilan are alumni of Israel's Talpiot program and served in Unit 8200, and the team started the company in 2021 and has run it through rapid scaling.
The board signals operator and investor weight beyond a typical private company. Directors include a former chief executive of two public enterprise-software companies, a senior venture investor, and a former Paramount security chief who is also a customer reference, backing from people who have built and scaled enterprise software at global scale.
What the record does not yet show is a prior security exit or a sustained research and publication track from the founders. Credibility comes from building Cyera and on the people backing it, strong evidence of operating capability without the longer history of repeat builders that marks the deepest teams in this category.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Cyera: AI Security Platform, Protect Data and Secure AI | official | 2026-07-09 |
| f2 | Tech Startups on Cyera Series G (founded 2021 by Yotam Segev and Tamar Bar-Ilan) | press | 2026-06-13 |
| f3 | Tracxn Cyera company profile | research | 2026-06-14 |
| f4 | SecurityWeek on Cyera raising 600 million at 12 billion valuation | press | 2026-06-15 |
| f5 | Tech Startups on Cyera Series G | press | 2026-06-14 |
| f6 | AI Defense Matrix Catalog entry | other | 2026-06-13 |
| f7 | AI Defense Matrix Catalog mapping | other | 2026-06-23 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Cyera: AI Security Platform homepage with Series G banner and Pete Chronis testimonial “We've identified billions of sensitive records, but we've scanned through trillions. The scale is unfathomable. Pete Chronis, Former CISO, Paramount” | official | 2026-07-02 |
| s2 | Cyera: unified AI data security platform overview (DSPM, Omni DLP, Access Trail, AI Guardian) “Discover sanctioned and shadow AI tools, public, embedded, and homegrown. Decide how AI and humans can access and act on sensitive data. Prevent leakage and threats by blocking risky user and agent actions in real time.” | official | 2026-06-13 |
| s3 | Cyera: Data Security Posture Management module page “Cyera can be deployed entirely within your cloud or on-prem environments so sensitive data remains in place and under your control.” | official | 2026-06-13 |
| s4 | Cyera: AI Guardian (AI-SPM plus AI Protect runtime enforcement) “AI Protect monitors AI prompts, responses, and actions, enabling enterprises to detect and block threats like prompt injection, jailbreaks, and data exfiltration, in real time.” | official | 2026-06-13 |
| s5 | Cyera: About page (founders Yotam Segev and Tamar Bar-Ilan, board with Frank Slootman and Doug Leone) “Yotam Segev Co-founder, CEO ... Tamar Bar-Ilan Co-founder, CTO ... Doug Leone Partner, Sequoia Capital ... Frank Slootman Former CEO of Snowflake & ServiceNow ... Steffan Tomlinson CFO, Stripe” | official | 2026-06-13 |
| s6 | SecurityWeek: Cyera Raises 600 Million at 12 Billion Valuation (funding ladder) “the total raised to more than $2.3 billion ... Cyera's valuation has quadrupled since late 2024, when it raised $300 million in Series D funding at a $3 billion valuation” | press | 2026-06-28 |
| s7 | CTech by Calcalist: Cyera raises $600 million at $12 billion valuation, up fourfold in 18 months (Meir Orbach) “Israeli cybersecurity company Cyera has raised $600 million at a $12 billion valuation, a fourfold increase over the past 18 months. ... It has also expanded rapidly, reaching more than 1,500 employees across 18 countries over the past 18 months.” | press | 2026-07-02 |
| s8 | TechCrunch: Cyera eyes $12B valuation at 80x ARR multiple despite operating losses (Marina Temkin) “Cyera has surpassed $150 million in annual recurring revenue (ARR), three people familiar with the matter told TechCrunch, though it remains far from profitable. The deal values Cyera at 80 times its ARR” | press | 2026-06-28 |
| s9 | Fortune: Cyera CEO Yotam Segev on raising $400 million (named customers, Allie Garfinkle) “Cyera's customers include AT&T, Peloton, Nordstrom, and Chipotle, though the company declined to disclose its current financial results” | press | 2026-06-28 |
| s10 | SiliconANGLE: Cyera Raises 600M at 12B Valuation (round, investors, classification engine) “We built a classification engine with AI at its core, reading for meaning rather than just applying labels. It's still the hardest thing to do in this space, and it's where we built our edge.” | press | 2026-06-28 |
| s11 | CIO Influence: Cyera Named a Leader in the Forrester Wave for Sensitive Data Discovery and Classification Q2 2026 “Cyera received the top score in the strategy category, and the highest possible scores in nine criteria” | press | 2026-06-13 |
| s12 | OpenCorporates: Cyera Ltd registry record (Israel) “Company Number 516296209 ... Status Active ... Private Limited Company ... Jurisdiction Israel ... Alternative Names CYERA (alternative legal name in EN)” | regulatory | 2026-06-28 |
| s13 | Cyera Trust Center (SafeBase): compliance certifications and customer wall “Compliance ... CCPA ... EU-US DPF ... GDPR ... ISO/IEC 27001 ... PCI DSS” | official | 2026-06-28 |
| s14 | Cyera: customer story with former Paramount CISO Pete Chronis “We've identified billions of sensitive records, but we've scanned through trillions. The scale is unfathomable.” | official | 2026-06-13 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Cyera unified AI data security platform overview “Discover sanctioned and shadow AI tools, public, embedded, and homegrown. Decide how AI and humans can access and act on sensitive data. Prevent leakage and threats by blocking risky user and agent actions in real time.” | official | 2026-06-15 |
| s2 | Cyera Data Security Posture Management “Cyera can be deployed entirely within your cloud or on-prem environments so sensitive data remains in place and under your control.” | official | 2026-06-18 |
| s3 | Cyera AI Guardian AI-SPM and AI Protect “AI Protect monitors AI prompts, responses, and actions, enabling enterprises to detect and block threats like prompt injection, jailbreaks, and data exfiltration, in real time.” | official | 2026-06-18 |
| s4 | Cyera about page with founders and board “Yotam Segev, Co-founder, CEO. Tamar Bar-Ilan, Co-founder, CTO. Yonatan Itai, Co-founder, VP of R&D.” | official | 2026-06-18 |
| s5 | Cyera Trust Center compliance certifications “Compliance ... CCPA ... EU-US DPF ... GDPR ... ISO/IEC 27001 ... PCI DSS” | official | 2026-06-28 |
| s6 | SecurityWeek on Cyera raising 600 million at 12 billion valuation “the total raised to more than $2.3 billion ... Cyera's valuation has quadrupled since late 2024, when it raised $300 million in Series D funding at a $3 billion valuation” | press | 2026-06-28 |
| s7 | CTech by Calcalist: Cyera raises 600 million at 12 billion valuation (Meir Orbach) “Israeli cybersecurity company Cyera has raised $600 million at a $12 billion valuation, a fourfold increase over the past 18 months. ... Cyera was founded in 2021 by Yotam Segev (CEO) and Tamar Bar-Ilan (CTO), both graduates of the Talpiot program and Unit 8200.” | press | 2026-07-02 |
| s8 | TechCrunch: Cyera eyes 12B valuation at 80x ARR multiple despite operating losses (Marina Temkin) “Cyera has surpassed $150 million in annual recurring revenue (ARR), three people familiar with the matter told TechCrunch, though it remains far from profitable. The deal values Cyera at 80 times its ARR” | press | 2026-06-28 |
| s9 | Fortune: Cyera CEO Yotam Segev on raising 400 million (named customers, Allie Garfinkle) “Cyera's customers include AT&T, Peloton, Nordstrom, and Chipotle, though the company declined to disclose its current financial results” | press | 2026-06-28 |
| s10 | Cyera homepage with Pete Chronis Paramount customer testimonial “We've identified billions of sensitive records, but we've scanned through trillions. The scale is unfathomable. Pete Chronis, Former CISO, Paramount” | official | 2026-07-02 |
| s11 | OpenCorporates: Cyera Ltd registry record (Israel) “Company Number 516296209 ... Status Active ... Private Limited Company ... Jurisdiction Israel ... Alternative Names CYERA (alternative legal name in EN)” | regulatory | 2026-06-28 |
| s12 | CIO Influence: Cyera named a Leader in the Forrester Wave for sensitive data discovery “Cyera received the top score in the strategy category, and the highest possible scores in nine criteria” | press | 2026-06-15 |
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