Sekoia AI

1. Products/Services & Features

• Main Offerings:

  • Sekoia Defend - XDR/SIEM platform for threat detection and automated response
  • Sekoia Intelligence - Cyber Threat Intelligence (CTI) for proactive defense
  • AI-powered SOC automation and incident response capabilities

• Feature Breakdown: Automated threat detection (25% of threats detected automatically in 2024), real-time alert management, incident response automation, integration with 200+ third-party security tools, audit trail capabilities, 30-day log retention standard (Departments: Security Operations Centers (SOCs), Managed Security Service Providers (MSSPs), IT Security Teams)

• Business Industry Gearing: Government, law enforcement (FBI, Europol, NATO), large enterprises (EDF, Vinci, SNCF, Mirakl, Marlink), telecommunications, finance, healthcare, critical infrastructure

2. Security & Compliance

• Certifications: PCI DSS Level 1 Certified (as of November 2023), PCI DSS Level 1 Certification

• Vendors/Tools: AWS (cloud infrastructure), Bearer Token authentication

• Risk Profile:

  • Breaches: No known breaches or compliance gaps identified in available sources
  • Features: Built-in audit trail for alert modifications, 30-day log retention, data archiving and restoration options available

3. User Feedback & Adoption

• Aggregated Reviews: Limited public review data available; not prominently listed on G2, Capterra, or Gartner

  • Pros: Highly competitive pricing, responsive and available customer service, open to customer-driven feature development
  • Cons: Limited public review footprint; ease of use and integration details not extensively documented in third-party reviews

• Adoption Insights:

  • Adoption Ease: Designed for rapid deployment; modular platform allows flexible implementation; AI automation reduces complexity for less-experienced analysts
  • Adoption Cultural Fit: Strong fit for organizations with existing SOC teams and security operations; emphasis on MSSP partnerships enables adoption across SMBs and enterprises

• Metrics: No published NPS or churn data available

• Barriers: Requires technical expertise in cybersecurity; primarily targets professional SOC teams; smaller organizations typically access via MSSP partners

4. Monetization & Business Model

• Revenue Model: SaaS subscription model based on number of assets managed (not per-user pricing)

• Pricing: Modular pricing for Sekoia Defend and Sekoia Intelligence; asset-based pricing structure (Sources: No public pricing page available; pricing determined through direct engagement with sales team)

• Market Context:

  • TAM: Global cybersecurity market; European SOC and MSSP market particularly strong
  • Growth Stage: Growth stage; expanding internationally beyond Europe into Middle East, Asia, and Northern Europe

5. Leadership & Recent Developments

• Key Metrics Update:

  • Funding: Series B: €26 million (April 2025) led by Revaia, with participation from UNEXO, Bright Pixel Capital, Omnes Capital, and Bpifrance
  • Employee Growth: Expanded from founding to 100-120 employees; operating across four European countries

• News/Trends:

  • News Launch: Continuous product updates and feature releases; latest changelog entries detail improvements in AI Case controls, alert management, and workspace navigation
  • News Partnerships: Multiplying partnerships with Managed Security Service Providers (MSSPs) globally; strategic integrations with 200+ third-party security tools
  • News Funding: Series B funding of €26 million in April 2025 to fuel technology innovation and international scale-up
  • News Challenges: Addressing critical cybersecurity labor shortage through AI automation; tackling complexity of manual threat detection and response

6. Target Audience & Use Cases

• Target Market: Enterprise and mid-market organizations; SMBs via MSSP partnerships; government and public sector agencies

• Target Users & Personas: SOC analysts, SOC managers, CISOs, IT security teams, Managed Security Service Providers

• User Experience Level: Primarily technical users (SOC professionals); AI and automation features enable less-experienced analysts to be productive

• Key Use Cases:

  • Automated threat detection and response for enterprise SOCs
  • Centralized security operations and incident response management
  • MSSP enablement for delivering managed SOC services at scale

7. Impact & Recommendations

• Measurable Outcomes:

  • Workflow Improvements: Reduces manual threat analysis workload; automates incident triage and response; enables faster threat investigation; centralizes security operations across organization
  • ROI Examples: Detected 4 million real threats in 2024; 25% automatically flagged by proprietary AI; reduces SOC team overhead through automation

• Fit Assessment: Excellent fit for organizations with mature SOC operations, significant security budgets, and need for advanced threat detection. Strong fit for MSSPs seeking to scale managed services. Less suitable for organizations without existing security operations infrastructure.

• Custom Rec Flags:

  • Priority ICP: Large enterprises in critical infrastructure, finance, government, and telecommunications sectors; MSSPs seeking to enhance managed SOC offerings
  • Short Term Goals: Expand MSSP partnerships globally; accelerate international expansion (Northern Europe, Middle East, Asia); enhance AI-driven automation capabilities

8. Data Sourcing Notes

• Other sources: https://www.sekoia.io/en/privacy-security/, https://www.sekoia.io/en/certifications-and-awards/, https://docs.sekoia.io/, https://changelog.sekoia.io, https://status.sekoia.io