# Cyera - Marketing Research Report Generated on: April 7, 2026 **Industry:** Cybersecurity **Website:** https://www.cyera.com ## The Takeaway Cyera's moat is being first to embed AI into data security itselfβ€”enterprises adopting AI need automated discovery and classification at scale, not legacy manual tools. --- # Company Research ## Company Summary Cyera is an AI-native cybersecurity company that provides data security posture management (DSPM) and data loss prevention (DLP) solutions for enterprises [1] **Founded:** 2021 [16] **Founders:** Yotam Segev (CEO) and Tamar Bar-Ilan (CTO) [16] **Employees:** No public information available [1] **Headquarters:** New York-based [2] **Funding:** $9 billion valuation with over $1.7 billion raised in total funding [2] **Mission:** To be the leading AI-native data security platform that protects enterprise data across cloud and on-premises environments while enabling AI adoption [14] **Strengths:** The company's strengths rely on the combination of AI-native technology platform, elite Israeli cyber pedigree from Unit 8200, and rapid enterprise adoption with doubled customer base in six months. [14] β€’ **AI-native platform**: Built from the ground up with artificial intelligence capabilities for automated data discovery, classification, and risk reduction across entire data landscapes [6] β€’ **Elite founding team**: Co-founders are veterans of Israel's prestigious Unit 8200 intelligence unit, the same background that produced Palo Alto Networks and Check Point Software [16] β€’ **Rapid market penetration**: Doubled customer base in just six months while achieving $9 billion valuation, demonstrating strong product-market fit [2] ## Business Model Analysis ### 🚨 Problem ****Enterprises struggle with data visibility and security across complex multi-cloud environments while adopting AI technologies** [6]** β€’ Organizations lack complete visibility into where their sensitive data resides across cloud and on-premises environments [6] β€’ Traditional data security tools are too manual and create operational overhead for security teams [11] β€’ Companies face increased risk of intellectual property leakage and compliance violations when adopting generative AI [13] β€’ Existing solutions like Varonis are criticized as "too manual and annoying" by security professionals [11] β€’ Executive reporting and risk communication remains a significant challenge for security teams [18] ### πŸ’‘ Solution ****AI-native data security platform providing automated data discovery, classification, and protection across entire enterprise environments** [6]** β€’ Data Security Posture Management (DSPM) platform that provides complete data visibility and risk reduction [6] β€’ Data Loss Prevention (DLP) capabilities integrated into a unified AI security platform [7] β€’ Generative AI capabilities for simplified security investigations and accelerated remediation workflows [8] β€’ Continuous scanning of large environments with minimal operational overhead [12] β€’ Single platform consolidating multiple security functions including CSPM, CWPP, CIEM, DSPM, Container security, and API security [8] ### ⭐ Unique Value Proposition ****Only AI-native data security platform that enables safe AI adoption while providing complete data visibility without operational burden** [6]** β€’ AI-native architecture built specifically for modern cloud environments, unlike legacy solutions [6] β€’ Higher classification accuracy compared to competitors like Sentra in head-to-head evaluations [11] β€’ Enables AI data readiness while maintaining real-time data risk reduction and continuous compliance [9] β€’ Exceptional customer success experience described as "the best I've ever worked with" by users [20] ### πŸ‘₯ Customer Segments ****Primary focus on large enterprises (B2B) requiring comprehensive data security across multi-cloud environments** [17]** β€’ Large enterprises with complex multi-cloud data environments [17] β€’ Financial services organizations requiring regulatory compliance and risk management [15] β€’ Companies adopting generative AI that need to govern AI usage and reduce IP leakage risks [13] β€’ Organizations in highly regulated industries needing continuous compliance monitoring [9] β€’ Enterprises seeking to consolidate multiple security tools into a single platform [8] ### 🏒 Existing Alternatives ****Competes in the DSPM market against established players like Varonis, Sentra, BigID, and Proofpoint** [10]** β€’ Varonis - criticized for being "too manual and annoying" and primarily focused on on-premises environments [11] β€’ Sentra - direct competitor with noted higher classification accuracy than BigID and Varonis [11] β€’ BigID - primarily focused on on-premises environments with limited cloud capabilities [11] β€’ Proofpoint - established player in the DSPM vendor landscape [12] β€’ Traditional security vendors lacking AI-native capabilities and comprehensive data visibility [6] ### πŸ“Š Key Metrics ****Achieved $9 billion valuation with over $1.7 billion raised while doubling customer base in six months** [2]** β€’ Current valuation: $9 billion as of latest Series F funding round [2] β€’ Total funding raised: Over $1.7 billion across multiple rounds [2] β€’ Growth trajectory: Doubled customer base in six months [14] β€’ Valuation growth: Tripled from $3 billion to $9 billion within one year [5] β€’ Market position: Recognized as "leading in the category" by Lightspeed Venture Partners [14] ### 🎯 High-Level Product Concepts ****Unified AI security platform offering DSPM and DLP capabilities with generative AI-powered investigations** [7]** β€’ Data Security Posture Management (DSPM) for complete data visibility and risk reduction [6] β€’ Data Loss Prevention (DLP) integrated into the unified platform [7] β€’ AI-powered security investigations with automated remediation workflows [8] β€’ Multi-cloud security coverage including AWS, with specialized AWS Security Hub integration [9] β€’ Continuous compliance monitoring and real-time risk assessment capabilities [9] ### πŸ“’ Channels ****Go-to-market strategy focused on cloud marketplace partnerships, direct enterprise sales, and thought leadership** [9]** β€’ AWS Marketplace partnership providing single-vendor purchasing experience [9] β€’ Direct enterprise sales targeting large organizations and Fortune 500 companies [17] β€’ Industry recognition and analyst coverage positioning Cyera as market leader [14] β€’ Thought leadership content and educational resources for CISOs and security leaders [13] β€’ Customer success team driving expansion and referrals through exceptional service [20] ### πŸš€ Early Adopters ****CISOs and security leaders at large enterprises seeking AI-native data security solutions** [14]** β€’ Security leaders specifically recommended Cyera when surveyed by investors [14] β€’ Early enterprise customers requiring comprehensive data security across multi-cloud environments [17] β€’ Organizations prioritizing AI adoption while maintaining data security and compliance [13] β€’ Companies seeking to replace manual, legacy data security tools with automated solutions [11] ### πŸ’° Fees ****Outcome-based pricing model with two comprehensive plans for DSPM and DLP functionality** [7]** β€’ Pricing tied directly to customer outcomes rather than traditional per-seat or per-asset models [7] β€’ Two comprehensive plans available: DSPM-focused plan and integrated DLP plan [7] β€’ Pricing designed to deliver meaningful value at every stage of data and AI security journey [7] β€’ Available through AWS Marketplace with simplified procurement process [9] β€’ Specific pricing details not publicly disclosed, following enterprise software model [7] ### πŸ’΅ Revenue ****Subscription-based revenue model with enterprise licensing and cloud marketplace sales** [7]** β€’ Primary revenue from enterprise software subscriptions based on outcome-driven pricing [7] β€’ Cloud marketplace revenue through AWS and potentially other cloud provider partnerships [9] β€’ Professional services and customer success engagement driving expansion revenue [20] β€’ Growth from near-zero sales in first year to $9 billion valuation demonstrates rapid revenue scaling [4] β€’ Revenue model supports high gross margins typical of AI-native software platforms [2] ### πŸ“… History ****Founded in 2021 by Unit 8200 veterans, achieved rapid growth from startup to $9 billion valuation in under four years** [16]** β€’ 2021: Company founded by Yotam Segev (CEO) and Tamar Bar-Ilan (CTO), both Unit 8200 veterans [16] β€’ 2021-2023: Early product development and initial customer acquisition [4] β€’ 2024: Achieved $3 billion valuation with $300 million Series D, total funding hit $600 million [1] β€’ 2024: Reached $6 billion valuation while doubling customer base in six months [14] β€’ 2026: Secured $400 million Series F at $9 billion valuation, total funding over $1.7 billion [2] β€’ 2026: Expanded AWS partnership with Security Hub integration [9] ### 🀝 Recent Big Deals ****Secured $400 million Series F funding round and expanded AWS Security Hub partnership in 2026** [2]** β€’ $400 million Series F funding round at $9 billion valuation led by major investors [2] β€’ AWS Security Hub Extended Plan partnership enabling broader customer access [9] β€’ Strategic investment from Georgian and Lightspeed Venture Partners recognizing market leadership [14] β€’ Doubled customer base in six months demonstrating strong enterprise adoption [14] ### ℹ️ Other Important Factors ****Strong competitive positioning with exceptional customer satisfaction and industry recognition as market leader** [14]** β€’ Customer success team rated as "the best I've ever worked with" driving high customer satisfaction [20] β€’ Industry recognition with investors noting "Cyera was the name that kept coming up" among CISOs [14] β€’ Positioned to become "the Palo Alto Networks of data security" according to company vision [4] β€’ Strong technical advantage with AI-native architecture compared to legacy competitors [6] --- # ICP Analysis ## Ideal Customer Profile Cyera's ideal customers are **large enterprises with 5,000+ employees** operating **multi-cloud data environments** across AWS, Azure, and GCP [17]. These organizations are **actively adopting AI technologies** while maintaining strict data governance requirements in **highly regulated industries** like financial services and healthcare [13] [15]. They seek **AI-native security solutions** that provide automated data discovery and classification without the operational overhead of legacy tools [6] [12]. These **CISOs and security leaders** value **outcome-based pricing models** and prefer consolidated platforms over multiple point solutions [7] [8]. ## ICP Identification Framework | No. | Question | Answer | References | |-----|----------|--------|------------| | 1 | Which of our current customers makes the most out of our products and services? Who uses it the most? Who are your best users? | Best customers are **large enterprises** with **multi-cloud data environments** requiring comprehensive data security across distributed infrastructure [17]. **CISOs and security leaders** at organizations adopting AI while maintaining strict data protection consistently emerge as top users [14]. These customers benefit most from **AI-native DSPM capabilities** and **automated data discovery** that eliminates manual overhead [6] [12]. | [6], [12], [14], [17] | | 2 | What traits do those great customers have in common? | Common traits include **enterprise-scale operations** with complex data landscapes spanning multiple cloud providers [17]. They prioritize **AI adoption while maintaining security compliance** and operate in **highly regulated industries** requiring continuous monitoring [13] [15]. These organizations value **outcome-based solutions** over traditional per-seat pricing models [7] and seek **consolidated security platforms** rather than point solutions [8]. | [7], [8], [13], [15], [17] | | 3 | Why do some people decide not to buy or stop using our product? | Primary barriers include **executive reporting challenges** where security metrics don't translate effectively to business stakeholders [18]. Some organizations need **additional tooling for insider risk** and email-borne threats outside Cyera's core capabilities [12]. **Legacy on-premises focused** companies may find cloud-native architecture misaligned with their infrastructure strategy [11]. | [11], [12], [18] | | 4 | Who is easiest to sell more to, and why? | Easiest expansion comes from **existing enterprise customers** already experiencing value from DSPM who need additional DLP capabilities through unified platform expansion [7]. **AWS customers** represent natural expansion through Security Hub integration providing streamlined procurement [9]. Organizations that have **doubled their data footprint** or expanded cloud adoption create immediate expansion opportunities for broader coverage [14]. | [7], [9], [14] | | 5 | What do our competitors' best customers have in common? | Competitor customers often rely on **legacy on-premises solutions** like Varonis and BigID that struggle with cloud-native environments [11]. They tolerate **manual, operationally heavy processes** that create overhead rather than efficiency [11]. Opportunity exists with organizations frustrated by **classification accuracy limitations** and seeking **AI-native alternatives** to replace outdated DSPM approaches [11]. | [11] | ## Target Segmentation ### πŸ₯‡ Primary Large Enterprise Multi-Cloud Organizations **Industry:** Financial Services, Healthcare, Technology **Company Size:** 5,000+ employees, $1B+ revenue **Key Characteristics:** β€’ **Multi-cloud data environments**: Organizations with data distributed across AWS, Azure, GCP requiring unified visibility β€’ **AI adoption initiatives**: Companies implementing generative AI while maintaining strict data governance and IP protection β€’ **Regulatory compliance requirements**: Industries with continuous compliance monitoring needs and executive reporting demands **Rationale:** Highest revenue potential with proven $9B valuation growth. Best product-market fit evidenced by doubled customer base. ### πŸ₯ˆ Secondary Mid-Market Cloud-Forward Companies **Industry:** SaaS, E-commerce, Manufacturing **Company Size:** 1,000-5,000 employees, $100M-$1B revenue **Key Characteristics:** β€’ **Cloud-native operations**: Organizations born in cloud or completed digital transformation with minimal legacy infrastructure β€’ **Rapid growth scaling challenges**: Companies expanding data footprint requiring automated security without operational overhead β€’ **Consolidation priorities**: Seeking to replace multiple point security solutions with unified platform approach **Rationale:** Strong growth potential with easier deployment. Natural expansion path as they scale toward enterprise size. ### πŸ₯‰ Tertiary AWS-Centric Security-Conscious Organizations **Industry:** Government, Defense, Critical Infrastructure **Company Size:** 500+ employees, varying revenue **Key Characteristics:** β€’ **AWS infrastructure focus**: Organizations primarily operating on AWS seeking Security Hub integration and streamlined procurement β€’ **Security-first culture**: Companies with dedicated security teams prioritizing data protection over operational convenience β€’ **Specialized compliance needs**: Organizations with unique regulatory requirements benefiting from outcome-based pricing flexibility **Rationale:** Strategic partnership value through AWS marketplace. High customer lifetime value despite smaller initial market size. ## Target Personas ### Persona 1: Michael, The Enterprise CISO *Segment: πŸ₯‡ Primary* **Demographics:** - Name: **Michael, The Enterprise CISO** - Age: **πŸ‘€ Age**: 42-48 - Job Title: **πŸ’Ό Job Title/Role**: Chief Information Security Officer - Industry: **🏒 Industry**: Financial Services - Company Size: **πŸ‘₯ Company Size**: 10,000+ employees - Education: **πŸŽ“ Education Degree**: MBA + Computer Science Bachelor's - Location: **πŸ“ Location**: Major metropolitan area (NYC, SF, Chicago) - Years of Experience: **⏱️ Years of Experience**: 15-20 years in cybersecurity leadership **πŸ’­ Motivation:** Driven to **enable AI adoption** while maintaining regulatory compliance and preventing data breaches. Frustrated by **manual security tools** that create operational overhead for his team. Needs **executive-friendly reporting** to communicate security posture effectively to board members. **🎯 Goals:** - Implement comprehensive DSPM across multi-cloud environment within 12 months - Reduce security team operational overhead by 40% through automation - Achieve continuous compliance monitoring for SOX and PCI requirements **😀 Pain Points:** - Legacy Varonis deployment too manual and operationally heavy - Executive reporting challenges translating security metrics to business impact - Lack of unified visibility across AWS, Azure, and GCP environments ### Persona 2: Sarah, The Scaling VP of Security *Segment: πŸ₯ˆ Secondary* **Demographics:** - Name: **Sarah, The Scaling VP of Security** - Age: **πŸ‘€ Age**: 35-41 - Job Title: **πŸ’Ό Job Title/Role**: VP of Security / Head of Information Security - Industry: **🏒 Industry**: SaaS Technology - Company Size: **πŸ‘₯ Company Size**: 2,000-4,000 employees - Education: **πŸŽ“ Education Degree**: Computer Science or Engineering Bachelor's - Location: **πŸ“ Location**: Tech hub cities (Austin, Seattle, Denver) - Years of Experience: **⏱️ Years of Experience**: 8-12 years in security roles **πŸ’­ Motivation:** Focused on **scaling security operations** to match rapid company growth without proportional headcount increases. Seeks **consolidated platforms** to replace multiple point solutions creating tool sprawl. Prioritizes **automated data classification** to keep pace with expanding cloud footprint. **🎯 Goals:** - Consolidate 5+ security tools into unified platform within 18 months - Scale data protection capabilities to support 3x revenue growth - Implement automated compliance monitoring for SOC 2 Type II certification **😀 Pain Points:** - Managing multiple security vendors with overlapping capabilities - Manual data discovery processes cannot keep pace with growth - Limited budget for additional security headcount despite expanding needs ### Persona 3: David, The AWS-Focused Security Director *Segment: πŸ₯‰ Tertiary* **Demographics:** - Name: **David, The AWS-Focused Security Director** - Age: **πŸ‘€ Age**: 38-44 - Job Title: **πŸ’Ό Job Title/Role**: Director of Cybersecurity - Industry: **🏒 Industry**: Government Contracting - Company Size: **πŸ‘₯ Company Size**: 1,500 employees - Education: **πŸŽ“ Education Degree**: Information Systems or Cybersecurity Master's - Location: **πŸ“ Location**: Government contracting regions (DC, Virginia) - Years of Experience: **⏱️ Years of Experience**: 12-16 years in federal security **πŸ’­ Motivation:** Committed to **maintaining security-first culture** while leveraging AWS cloud infrastructure efficiently. Values **outcome-based pricing flexibility** for government budget cycles. Seeks **Security Hub integration** to streamline procurement and deployment processes within existing AWS architecture. **🎯 Goals:** - Achieve FedRAMP authorization for cloud security platform within 24 months - Implement continuous monitoring across all AWS workloads and data stores - Reduce security tool procurement complexity through single-vendor solutions **😀 Pain Points:** - Complex federal procurement processes for multiple security vendors - Limited classification accuracy with current BigID implementation - Compliance reporting complexity across multiple government frameworks --- # Positioning & Messaging ## Positioning Statement **Cyera** is an **AI-native data security platform** for **large enterprises** that **provides complete data visibility and safe AI adoption** with/because of **automated DSPM and DLP capabilities across multi-cloud environments** ## Positioning Framework ### 1. Needs and Pain Points What are their customer's needs and pain points around the problem the product is trying to solve? β€’ Organizations lack complete visibility into where their sensitive data resides across cloud and on-premises environments [6] β€’ Traditional data security tools are too manual and create operational overhead for security teams [11] β€’ Companies face increased risk of intellectual property leakage and compliance violations when adopting generative AI [13] β€’ Executive reporting and risk communication remains a significant challenge for security teams [18] β€’ Existing solutions like Varonis are criticized as "too manual and annoying" by security professionals [11] ### 2. Product Features What product features will address these needs and solve these pain points? β€’ Data Security Posture Management (DSPM) platform that provides complete data visibility and risk reduction [6] β€’ Data Loss Prevention (DLP) capabilities integrated into a unified AI security platform [7] β€’ Generative AI capabilities for simplified security investigations and accelerated remediation workflows [8] β€’ Continuous scanning of large environments with minimal operational overhead [12] β€’ Single platform consolidating multiple security functions including CSPM, CWPP, CIEM, DSPM, Container security, and API security [8] ### 3. Key Benefits What are the key benefits (rational and emotional) of those product features? β€’ Complete data visibility across entire enterprise environments eliminating blind spots [6] β€’ AI-native architecture reduces operational burden compared to manual legacy solutions [11] β€’ Enables safe AI adoption while maintaining compliance and reducing IP leakage risks [13] β€’ Higher classification accuracy compared to competitors like Sentra in head-to-head evaluations [11] β€’ Exceptional customer success experience with smooth deployment and responsive support [20] ### 4. Benefit Pillars Which of those benefits would be categorized as benefit pillars? πŸ” Complete Data Visibility, πŸ€– AI-Native Automation, πŸš€ Safe AI Adoption ### 5. Emotional Benefits What emotional benefits would the user have when they engage with or use the product? Core Emotional Promise: Peace of mind that your enterprise data is fully protected and visible across all environments while enabling AI innovation [14] Supporting Emotions: β€’ Confidence in data security posture without operational stress [20] β€’ Relief from manual security tool frustrations and overhead [11] β€’ Excitement about enabling AI adoption safely without compliance fears [13] ### 6. Positioning Statement What are some positioning statements that could reflect its key benefits, product features, and value? Cyera is an AI-native data security platform for large enterprises that provides complete data visibility and safe AI adoption with automated DSPM and DLP capabilities across multi-cloud environments ### 7. Competitive Differentiation How do they differentiate from other competitors? Cyera is the only AI-native data security platform built specifically for modern cloud environments, unlike legacy competitors [6] vs. Varonis: Cloud-native vs. manual on-premises focus that customers find "too manual and annoying" [11] vs. Sentra: Superior classification accuracy and broader platform consolidation capabilities [11] vs. BigID: Purpose-built for cloud vs. primarily on-premises with limited cloud capabilities [11] Key Differentiators: β€’ AI-native architecture enabling automated data discovery and classification [6] β€’ Higher classification accuracy than competing DSPM solutions [11] β€’ Exceptional customer success experience rated "the best I've ever worked with" [20] ## Messaging Guide | # | Type | Message | Priority | |---|------|---------|----------| | 1 | 🎯 Top-Line Message | The only AI-native data security platform that gives you complete visibility and control over your enterprise data while enabling safe AI adoption across all cloud environments [6] [14] | Primary | | 2 | πŸ” Complete Data Visibility | See everything, everywhere - get complete visibility into where your sensitive data lives across AWS, Azure, GCP, and on-premises environments [6] | High | | 3 | πŸ” Complete Data Visibility | No more data blind spots - our AI-native platform automatically discovers and classifies all your data without manual overhead [12] | High | | 4 | πŸ” Complete Data Visibility | Finally, executive reporting that makes sense - translate complex security metrics into clear business impact for your board [18] | Medium | | 5 | πŸ€– AI-Native Automation | Stop the manual madness - replace operationally heavy tools like Varonis with AI-powered automation that actually works [11] | High | | 6 | πŸ€– AI-Native Automation | Higher accuracy, lower effort - our classification accuracy beats competitors while reducing your team's workload [11] | High | | 7 | πŸ€– AI-Native Automation | Built for cloud-scale - continuously scan massive environments with minimal operational overhead [12] | Medium | | 8 | πŸš€ Safe AI Adoption | Enable AI innovation without the fear - protect intellectual property while accelerating your AI initiatives [13] | High | | 9 | πŸš€ Safe AI Adoption | AI data readiness made simple - govern GenAI usage and reduce IP leakage risks at enterprise scale [13] | High | | 10 | πŸš€ Safe AI Adoption | Continuous compliance confidence - maintain real-time compliance monitoring while adopting new AI technologies [9] | Medium | --- # References [1] Cyera doubles valuation to $3B with $300M Series D, total funding hits $600M in seven months | CTech https://www.calcalistech.com/ctechnews/article/hyvtynim1x [2] Data security startup Cyera hits $9B valuation six months after being valued at $6B | TechCrunch https://techcrunch.com/2026/01/08/data-security-startup-cyera-hits-9b-valuation-six-months-after-being-valued-at-6b/ [3] Wiz 2.0? Cyera’s meteoric $6B valuation is turning heads across the cyber world | Ctech https://www.calcalistech.com/ctechnews/article/shavjm2g2 [4] "Cyera is already the Wiz of data security. We want to be the Palo Alto Networks of data security" | CTech https://www.calcalistech.com/ctechnews/article/bjcxu5cozl [5] AI security boom triples valuation of Israeli cyber startup to $9 billion within a year | The Times of Israel https://www.timesofisrael.com/ai-security-boom-triples-valuation-of-israeli-cyber-startup-to-9-billion-within-a-year/ [6] Data Security Posture Management | Cyera https://www.cyera.com/platform/dspm [7] Transparent Pricing for Cyera’s Security Platform | Cyera https://www.cyera.com/pricing [8] AWS Marketplace: Cyera Cloud Data Security Platform https://aws.amazon.com/marketplace/pp/prodview-mc6f4tbu6otj4 [9] Cyera DSPM Available Through New Extended Plan for AWS Security Hub https://www.businesswire.com/news/home/20260226217444/en/Cyera-DSPM-Available-Through-New-Extended-Plan-for-AWS-Security-Hub [10] Top Varonis DSPM Alternatives in 2026 | Cyberhaven https://www.cyberhaven.com/blog/top-varonis-alternatives [11] r/cybersecurity on Reddit: Varonis Alternative - Too Manual and Annoying https://www.reddit.com/r/cybersecurity/comments/1bpu427/varonis_alternative_too_manual_and_annoying/ [12] Top DSPM Vendors 2026: Proofpoint, Sentra, Varonis, & Cyera | Proofpoint US https://www.proofpoint.com/us/industry-comparison/dspm [13] Cyera Resources | Expert Cybersecurity Education https://www.cyera.com/resources [14] Cyera Doubles Customer Base in Six Months, Reaching $6 Billion Valuation https://www.cyera.com/press-releases/ai-native-security-leader-cyera-doubles-customer-base-in-six-months-reaching-6-billion-valuation [15] Cyera Chief Strategy Office (CSO) https://www.cyera.com/cso-team [16] Report: Cyera Business Breakdown & Founding Story | Contrary Research https://research.contrary.com/company/cyera [17] What is Customer Demographics and Target Market of Cyera Company? – CanvasBusinessModel.com https://canvasbusinessmodel.com/blogs/target-market/cyera-target-market [18] Cyera Reviews 2026: Details, Pricing, & Features | G2 https://www.g2.com/products/cyera/reviews [19] Featured Customers | Find B2B & SaaS Software & Services - Reviews, Testimonials & Case Studies https://www.featuredcustomers.com/vendor/cyera [20] Cyera Reviews, Ratings & Features 2026 | Gartner Peer Insights https://www.gartner.com/reviews/market/data-security-posture-management/vendor/cyera