Workspace
    • Briefing
    • Ask Airframe
    Transformation
    • Audit
    Your Stack
    • Registry
    • Finance
    • Context
    Discover
    Powered by Airframe
    1. Research
    2. /
    3. Products
    4. /
    5. Cyera
    Cyera

    Cyera

    AI NativeLeader

    Cyera is the industry-leading AI Security Platform

    Est 2021|Valuation $12B|Raised $2.3B|41 Ref Customers
    LinkedIn 77K|Web traffic 103K|FTEs 1,500|HQ New York, New York, US
    MarketsData GovernanceCloud-Native Application Protection Platform (CNAPP)Data Security PlatformsSecurity Service Edge (SSE)Security Information and Event Management (SIEM)
    Cyera screenshot
    FirmCompareTractionAnalysisAdvocates

    Insights

    All insightsAccountingFinanceSoftwareCustomer experience

    Benchmarks

    The Software LeaderboardMethodology

    Tools & data

    Market ExplorerStudioRegistry

    Company

    AboutCareers

    Legal

    Privacy PolicyTerms of Service

    © 2026 Airframe, Inc. All rights reserved.

      Published Oct 23, 2026

      01Common complaints

      - If proven, long-tenured continuous monitoring capabilities are mandatory today and the organization cannot accept maturation risk; some reviews cite gaps in continuous monitoring. - If price sensitivity and the need for self-serve, low-cost purchasing are primary constraints; the product is marketed via custom quotes and appears enterprise-oriented. - If a single-vendor CNAPP consolidation is required and the organization prefers to reduce vendor count by using an incumbent cloud-security provider. - If the organization cannot staff the operational model required to act on findings (data owners, remediation workflows); DSPM value requires remediations to be executed. - If an abundance of third-party implementation partners and fully public documentation are required; some compliance artifacts and documentation are gated in enterprise processes.

      Deal disqualifiers (poor fit)

      • Very small organizations with limited data estate where tooling overhead outweighs benefits
      • Organizations that only require narrow endpoint/email DLP solutions
      • Organizations requiring transparent list pricing and self-serve purchase options

      Limitations acknowledged by reviewers / public evidence

      • Concerns about continuous monitoring maturity are called out in some reviews and should be validated in reference checks and a proof of value.

      Roadmap / product velocity

      The vendor releases frequent product updates and feature announcements. High release velocity can improve capabilities but may also cause:

      • feature churn
      • uneven polish across newly released features
      • documentation lag

      These are procurement risks to validate in a POC/POV.

      Security/compliance evidence accessibility

      Several compliance and security artifacts are gated and require formal requests; this can slow procurement and due-diligence processes.

      Common "why they didn’t / churn reasons" signals

      • Feature maturity concerns in continuous monitoring and other DSPM-specific capabilities
      • The need to carefully define use cases and evaluation criteria during a proof of value
      • Perceptions about marketing vs product depth from employee sentiment sources (anecdotal)

      02Why they buy

      Reported differentiators and signals include: - High review rating on a major review platform, indicating positive sentiment from a subset of customers - Expansion of features aimed at governance for data used in AI workflows, reflecting current enterprise priorities - An agentless connector model that reduces the need for endpoint agents in many cloud/SaaS sources Where competitors may have advantages: - Platform bundling and consolidation from large incumbent security vendors for organizations seeking fewer vendors - Broader product adjacencies (e.g., backup, resilience) from vendors that have integrated DSPM via acquisition

      03Field reports

      Review-platform availability snapshot

      • Gartner Peer Insights: product has a high rating on the platform with a substantial number of ratings.
      • G2: product comparison and review pages exist; deeper review text may require navigation or login.
      • Capterra: a listing exists with few or no reviews at the time of capture.
      • TrustRadius: no clearly accessible review page was identified in the review collection for this report.

      Balanced quotes (positive and negative)

      Examples drawn from review platforms and community discussions include both favorable and critical viewpoints. Representative themes are summarized rather than quoted from specific reviews: - Positive feedback points to responsive vendor support and fast time-to-inventory in some deployments. - Critical feedback highlights expectations around continuous monitoring, maturity of specific DSPM features, and the need to define use cases carefully before procurement. - Community threads include both skepticism about marketing claims and reports from practitioners describing improved coverage versus incumbent tools in their environments; these are anecdotal and should be validated via references.

      Common "why they chose it" themes (from accessible sources)

      • Speed to inventory/classification and time-to-value in some evaluations
      • Breadth across cloud, SaaS, and on‑prem sources
      • Support responsiveness reported in multiple review summaries

      Note on authenticity and bias

      Review sites and community forums can contain biased or unrepresentative signals. Use reviews and community posts as inputs for reference checks and validation rather than as sole evidence.

      ACV Auctions customer story (vendor-distributed customer collateral)

      A vendor-distributed customer story describes discovery and remediation work for ACV Auctions. As marketing collateral, such case studies can be informative about deployment patterns but typically contain vendor-framed outcomes and should be validated. Critical evaluation guidance: - Request baseline metrics and independent validation of outcomes (e.g., classification recall/precision, reduction in exposed records, audit time savings). - Ask for details on the internal effort required (teams involved, duration, and resourcing).

      Vendor-claimed performance metrics

      Vendor materials and some market summaries include performance and accuracy claims (example claims cited in vendor materials: claims of high precision and rapid scanning at scale). These claims lack publicly disclosed benchmark datasets and evaluation methodology. Buyers should request: - both precision and recall metrics by data type - confusion matrices and sampling approaches used to compute accuracy - performance measurements on representative customer data distributions

      04Best fit

      Company sizes

      Best fit appears to be large mid-market to enterprise organizations (enterprise-scale organizations) with substantive regulated or data-intensive operations and budgets consistent with enterprise security tooling.

      Industries

      Industries where DSPM value is commonly cited include healthcare/biotech, large consumer/retail, services, and enterprises accelerating AI adoption that require governance controls.

      Roles and personas

      • Economic buyers: CISO, VP Security, Head of Data Security, Risk/Compliance leaders
      • Implementers: cloud security engineers, data governance teams, IAM teams
      • Stakeholders: app owners, data platform teams, privacy office

      Qualification criteria (great fit)

      • Multi-cloud + SaaS data sprawl with unclear sensitive-data inventory
      • A need to reduce broad access and insecure sharing
      • Audit requirements that benefit from continuous posture evidence
      • Capacity to run a structured proof of value with measurable acceptance criteria

      05The pitch

      What the product does (objective core value proposition)

      Cyera is an enterprise data security platform focused on data discovery, classification, risk prioritization, and controls across modern data estates. Cyera is commonly evaluated as a DSPM (Data Security Posture Management) product designed to address the following operational questions: - Where is sensitive data? (inventory across cloud/SaaS/on‑prem) - What is it? (classification in business context) - Who/what can access it? (identity + permissions mapping) - What are the highest-risk exposures? (misconfigurations, broad access, sharing links, stale/ROT data) - What actions should be taken? (remediation workflows, policy enforcement, integrations) The vendor describes additional functionality overlapping with DLP and controls for data used by AI tools and agents (examples: AI‑SPM and runtime controls), reflecting how DSPM capabilities are being extended into broader data security use cases.

      Target market and positioning

      Cyera is positioned primarily for large enterprises that typically have: - multi-cloud + SaaS sprawl - regulated-data footprints (PII/PHI/PCI) - a need for auditability and continuous posture management - emerging requirements for governance of data used in AI workflows Public signals indicate enterprise-scale orientation: company size reported in market-review metadata and a custom-quote pricing model suggest sales motions oriented toward larger organizations.

      Get a comprehensive analysis of Cyera including market position, competitive landscape, adoption trends, and peer benchmarks.

      Download full report →
      • If proven, long-tenured continuous monitoring capabilities are mandatory today and the organization cannot accept maturation risk; some reviews cite gaps in continuous monitoring.
      • If price sensitivity and the need for self-serve, low-cost purchasing are primary constraints; the product is marketed via custom quotes and appears enterprise-oriented.
      • If a single-vendor CNAPP consolidation is required and the organization prefers to reduce vendor count by using an incumbent cloud-security provider.
      • If the organization cannot staff the operational model required to act on findings (data owners, remediation workflows); DSPM value requires remediations to be executed.
      • If an abundance of third-party implementation partners and fully public documentation are required; some compliance artifacts and documentation are gated in enterprise processes.

      Reported differentiators and signals include:

      • High review rating on a major review platform, indicating positive sentiment from a subset of customers
      • Expansion of features aimed at governance for data used in AI workflows, reflecting current enterprise priorities
      • An agentless connector model that reduces the need for endpoint agents in many cloud/SaaS sources

      Where competitors may have advantages:

      • Platform bundling and consolidation from large incumbent security vendors for organizations seeking fewer vendors
      • Broader product adjacencies (e.g., backup, resilience) from vendors that have integrated DSPM via acquisition

      Examples drawn from review platforms and community discussions include both favorable and critical viewpoints. Representative themes are summarized rather than quoted from specific reviews:

      • Positive feedback points to responsive vendor support and fast time-to-inventory in some deployments.
      • Critical feedback highlights expectations around continuous monitoring, maturity of specific DSPM features, and the need to define use cases carefully before procurement.
      • Community threads include both skepticism about marketing claims and reports from practitioners describing improved coverage versus incumbent tools in their environments; these are anecdotal and should be validated via references.

      A vendor-distributed customer story describes discovery and remediation work for ACV Auctions. As marketing collateral, such case studies can be informative about deployment patterns but typically contain vendor-framed outcomes and should be validated.

      Critical evaluation guidance:

      • Request baseline metrics and independent validation of outcomes (e.g., classification recall/precision, reduction in exposed records, audit time savings).
      • Ask for details on the internal effort required (teams involved, duration, and resourcing).

      Vendor materials and some market summaries include performance and accuracy claims (example claims cited in vendor materials: claims of high precision and rapid scanning at scale). These claims lack publicly disclosed benchmark datasets and evaluation methodology. Buyers should request:

      • both precision and recall metrics by data type
      • confusion matrices and sampling approaches used to compute accuracy
      • performance measurements on representative customer data distributions

      Cyera is an enterprise data security platform focused on data discovery, classification, risk prioritization, and controls across modern data estates. Cyera is commonly evaluated as a DSPM (Data Security Posture Management) product designed to address the following operational questions:

      • Where is sensitive data? (inventory across cloud/SaaS/on‑prem)
      • What is it? (classification in business context)
      • Who/what can access it? (identity + permissions mapping)
      • What are the highest-risk exposures? (misconfigurations, broad access, sharing links, stale/ROT data)
      • What actions should be taken? (remediation workflows, policy enforcement, integrations)

      The vendor describes additional functionality overlapping with DLP and controls for data used by AI tools and agents (examples: AI‑SPM and runtime controls), reflecting how DSPM capabilities are being extended into broader data security use cases.

      Cyera is positioned primarily for large enterprises that typically have:

      • multi-cloud + SaaS sprawl
      • regulated-data footprints (PII/PHI/PCI)
      • a need for auditability and continuous posture management
      • emerging requirements for governance of data used in AI workflows

      Public signals indicate enterprise-scale orientation: company size reported in market-review metadata and a custom-quote pricing model suggest sales motions oriented toward larger organizations.