Last verified Oct 24, 2025
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    Skyflow

    Security & Data Governance

    Data & AnalyticsData PrivacySecurityComplianceData Vault
    Function:Security
    Subfunction:Data Governance
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    Founded
    2019
    Employees
    101-250 employees (~149)
    Funding
    $100M total
    Stage
    Series B (raised $27-30M in March 2024\)
    Report version: Oct 24, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Data Privacy Vault - Zero-trust architecture for isolating, protecting, and governing sensitive data
      • Polymorphic Encryption - Patented encryption technology for data protection at rest, in transit, and in use
      • Agentic AI Security - MCP data security for AI agents and autonomous workflows
    • Feature Breakdown: Data Privacy Vault with tokenization and de-identification; Polymorphic encryption; Fine-grained access controls (RBAC, ABAC, PBAC); Audit logging and compliance reporting; Multi-cloud support (AWS, Google Cloud); Native integrations with BigQuery, Firestore, Cloud SQL, ServiceNow, MuleSoft; Global data residency enforcement; Bring Your Own Keys (BYOK) option (Departments: Security, Compliance, Data Governance, IT Operations, Engineering)

    • Business Industry Gearing: Highly geared toward regulated industries: Healthcare (HIPAA), Financial Services (PCI DSS), Retail, Travel & Hospitality

    2. Security & Compliance

    • Certifications: SOC 2 Type 2 Certified, ISO 27001 Certified, PCI DSS Level 1 Certified, HIPAA Assessed and Eligible, GDPR Compliant, EU AI Act Compliant

    • Vendors/Tools: AWS (cloud infrastructure), Google Cloud, Cloudflare, LetsEncrypt

    • Risk Profile:

      • Breaches: No known public security breaches reported
      • Features: Continuous audit trails, polymorphic encryption, zero-trust architecture, data residency controls, compliance automation dashboards

    3. User Feedback & Adoption

    • Aggregated Reviews: 5.0/5 stars on G2 (2 verified reviews); Limited review volume on major platforms

      • Pros: Strong security posture with SOC 2 Type 2 certification; Multi-cloud flexibility; Seamless integration with enterprise platforms; Privacy-by-design architecture; Comprehensive compliance support
      • Cons: Limited public customer reviews available; Enterprise pricing may be high for smaller organizations; Requires direct sales engagement for custom pricing
    • Adoption Insights:

      • Adoption Ease: Moderate - Requires security and compliance expertise; SDKs and APIs available for developers; Enterprise support available
      • Adoption Cultural Fit: High for regulated industries and enterprises with strong data governance requirements; Lower for SMBs without complex compliance needs
    • Metrics: Not publicly disclosed; Strong customer retention indicated by Fortune 500 adoption

    • Barriers: High implementation complexity; Requires organizational buy-in from security and compliance teams; Custom pricing negotiations; Integration with legacy systems

    4. Monetization & Business Model

    • Revenue Model: Custom enterprise SaaS with negotiated contracts; Usage-based pricing tied to data subjects protected and compliance features; Entry-level cloud marketplace offerings starting at $500/month

    • Pricing: Starter: $500/month (AWS Marketplace); Professional/Mid-Market: Custom pricing; Enterprise: ~$195,000+/year (negotiated); Supersonic: Custom enterprise solutions (Sources: AWS Marketplace, Vendr, company direct sales)

    • Market Context:

      • TAM: Data privacy and governance market estimated at $10+ billion; Growing rapidly due to regulatory expansion (GDPR, CCPA, DPDP, EU AI Act)
      • Growth Stage: Growth stage; Strong momentum in healthcare, fintech, and regulated sectors

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Anshu Sharma Co-founder & CEO; Former VP at Salesforce; Experienced startup investor in 50+ companies; Background in cloud computing and enterprise software https://www.linkedin.com/in/toanshu https://x.com/toanshu
    Roshmik Saha Co-founder, Engineering; 15+ years technical experience; Previously at Microsoft and Lyft Autonomous Vehicle Platform; Keynote speaker on AI security and privacy https://www.linkedin.com/in/roshmiksaha https://x.com/roshmiksaha
    Amruta Moktali Chief Product Officer; Product leadership background at Cleo, Salesforce, and Microsoft; Focus on privacy-by-design and compliance automation https://www.linkedin.com/in/amrutamoktali
    • Key Metrics Update:

      • Funding: Series B: $27-30 million (March 2024) led by Khosla Ventures
      • Employee Growth: Estimated 101-250 employees as of early 2024; Growing team with offices in Palo Alto and Bangalore
    • News/Trends:

      • News Launch: AI Data Security Platform on Google Cloud Marketplace (October 2025); MCP Data Security for Enterprises and SaaS (August 2025)
      • News Partnerships: Google Cloud partnership and marketplace availability; ServiceNow integration for global data residency; Ongoing integrations with BigQuery, Firestore, Cloud SQL
      • News Funding: Series B funding of $27-30M in March 2024 led by Khosla Ventures; Total funding $97-100M
      • News Challenges: Regulatory complexity with evolving global data privacy laws (DPDP Act in India, EU AI Act); Customer hesitation in regulated sectors due to data exposure concerns; Need for continuous compliance tooling updates

    6. Target Audience & Use Cases

    • Target Market: Fortune 500 and growth companies in financial services, healthcare, travel & hospitality, retail, and digital natives

    • Target Users & Personas: CISOs, Security Teams, Data Governance Professionals, Compliance Officers, IT Architects, Data Engineers

    • User Experience Level: Advanced - Requires security and compliance expertise; Technical implementation by engineers and architects

    • Key Use Cases:

      • Healthcare organizations protecting PHI/PII across EHRs, claims, and genomics data while enabling secure AI/ML model training
      • Financial services firms protecting PCI data and customer information across global operations with multi-cloud compliance
      • Enterprises deploying AI agents and agentic automation while maintaining data privacy and regulatory compliance

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Centralized data governance and policy management; Automated compliance reporting and audit trails; Reduced time to market for privacy-compliant applications; Simplified multi-cloud data operations
      • ROI Examples: Reduced compliance audit costs through automated reporting; Faster product development by eliminating custom privacy infrastructure; Reduced breach risk and associated costs; Improved customer trust through privacy-by-design
    • Fit Assessment: Excellent fit for regulated enterprises with complex data governance needs; Strong fit for organizations adopting AI and requiring data privacy; Lower fit for SMBs without significant compliance requirements

    • Custom Rec Flags:

      • Priority ICP: Fortune 500 companies in healthcare, financial services, and retail; Growth-stage companies in regulated industries; Enterprises with multi-cloud strategies
      • Short Term Goals: Expand Google Cloud marketplace presence; Drive adoption of MCP data security for AI agents; Grow APAC presence, especially in India post-DPDP Act

    8. Data Sourcing Notes

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