DataDome is a cybersecurity company founded in 2015 focused on providing advanced bot and fraud protection solutions for websites, mobile applications, APIs, and digital platforms. Their AI-powered platform processes trillions of data signals daily to detect and block malicious bot traffic and online fraud in real time.
Software developer specializing in cybersecurity solutions, specifically bot protection and fraud prevention software.
The primary purpose of DataDome's products is to protect digital businesses from automated threats such as bot traffic, account takeover, web scraping, DDoS attacks, and payment fraud. Their target market includes e-commerce, retail, media, banking, and insurance sectors needing real-time cyberfraud defense.
While DataDome serves a broad range of industries, its fraud prevention capabilities are applicable to online casino platforms, sportsbooks, and other online gambling verticals to protect user accounts and transactional integrity.
Operates on a B2B software-as-a-service (SaaS) subscription model, providing real-time cybersecurity protection to enterprise clients worldwide.
DataDome’s platform uses AI and machine learning to analyze over 5 trillion signals daily, delivering real-time protection with less than 0.01% false positives. Features include rapid deployment without architecture changes, adaptive edge-based machine learning, and extensive integrations with cloud providers and CDNs.
DataDome
Founded in 2015
Registered primarily in France, with global operational presence.
Headquarters in Paris, France, with regional offices and over 30 global points of presence including locations in North America, Europe, and Asia.
Over 8 years on the market (since 2015)
Estimated development and staff size is likely between 100-250 employees, including threat researchers, AI specialists, and support teams.
Product interfaces and dashboards are available in English, with likely support for other major international languages to serve a global clientele.
Supports regional localization through flexible deployment on multi-cloud and multi-CDN infrastructures, ensuring compliance and low latency worldwide.
To create a future free from fraud by protecting digital businesses from malicious automated traffic through innovative cybersecurity technology.
Privately held company
Recognized as a Leader in The Forrester Wave™ Bot Management 2024, G2 Leader, and recipient of various industry accolades for bot management and cybersecurity.
Participates in industry forums related to cybersecurity, AI in fraud prevention, and SaaS technology standards, though specific gambling industry associations are not publicly listed.
Key milestones include founding in 2015, securing over $81 million in funding by 2023, expansion to 30+ global points of presence by 2024, and consistent leadership recognition in bot management software reports.
No public information on IPO plans; company has raised multiple funding rounds to expand globally and enhance technology.
Offers partner programs including integrator support with 50+ ready-made server-side and client-side integrations, expert onboarding, and dedicated account management for enterprise clients.
No specific public information, but the platform’s fraud prevention capabilities support responsible gambling by protecting player accounts and transactions from fraud and abuse.
General SaaS cloud providers utilized (AWS, Google Cloud) follow environmental standards; specific company commitments not detailed publicly.
Provides comprehensive onboarding, team training, and certification programs for clients to ensure effective deployment and operation of their cybersecurity solutions.
Plans to advance AI and machine learning-driven cyberfraud detection, expand global network presence, enhance real-time adaptive protection, and deepen integration across multiple digital platforms.
Ongoing expansion of global footprint with over 30 points of presence worldwide, focusing on North America, Europe, and Asia markets.
Maintains dedicated Advanced Threat Research teams focused on emerging bot and fraud techniques, AI model enhancement, and continuous platform innovation.
Embraces AI, machine learning, edge computing, cloud scalability, and real-time data processing to stay at the forefront of bot and fraud protection.
No publicly detailed programs for startup support; focus is primarily on enterprise cybersecurity solutions.
Holds approximately 12.0% mindshare in the bot management market category as of mid-2025, positioning it as a significant player behind top competitors.
Includes Akamai Bot Manager, F5 Shape Security, Arkose Labs, HUMAN Bot Defender, and Cloudflare Application Security.
Ultra-low false positive detection, rapid deployment on multi-cloud/CDN infrastructures, AI-driven real-time detection processing trillions of signals daily, and a dedicated threat research team.
Serves customers globally with a robust presence in North America, Europe, and Asia supported by over 30 data points of presence.
Large enterprises and mid-sized digital businesses in sectors such as e-commerce, retail, media, finance, and technology requiring advanced bot and fraud protection.
No public indication of white-label offerings; operates primarily as a SaaS platform provider.
Subscription-based SaaS pricing with tiers based on monthly request volumes ranging from business to enterprise-plus plans.
Leverages industry analyst recognition, strategic partnerships, customer success stories, and participation in cybersecurity forums to reach enterprise clientele.
Direct sales with partner and integrator programs; no large reseller or distributor networks publicly detailed.
Not applicable as DataDome is a security software provider, not a game provider.
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Offers customizable dashboard and response page customization including company branding options for security alerts.
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Supports digital payment fraud prevention, but no direct gaming cryptocurrency features noted.
No publicly available information confirming blockchain integration.
Compatible with all major cloud platforms including AWS, Google Cloud, Microsoft Azure, leveraging Lambda@Edge and multi-cloud architecture.
Fully cloud-native SaaS solution supporting multi-cloud and CDN deployments.
Compatible with modern cloud environments; explicit Docker or Kubernetes support not publicly specified but likely due to cloud-native architecture.
Not specifically applicable; operates at network and application layer rather than traditional database management.
Built on scalable microservices architecture as indicated by rapid scaling and multi-cloud support.
Provides extensive API and integration capabilities with over 50 technology stacks for ease of deployment.
Supports RESTful API for integration with client infrastructure.
No explicit public mention of GraphQL API support.
Supports common data formats such as JSON and XML for integration and exchange.
Provides real-time threat detection and updates to protection policies with sub-2 millisecond response times.
Utilizes standard web protocols to analyze and filter HTTP/S traffic for bot and fraud detection.
Supports protection of WebSocket connections as part of overall API and web application protection.
Optimized to minimize impact on network bandwidth by operating at the edge and filtering traffic efficiently.
Employs caching strategies in global PoPs to improve response times and reduce latency.
Fully compatible with CDNs like Amazon CloudFront and others for distributed content delivery and protection.
Supports load balancing through cloud platform capabilities and distributed PoP network.
Uses cloud auto-scaling technologies such as AWS autoscaling to handle spikes in traffic and computing demand.
Integrated monitoring with 24/7 threat detection, alerting, and SOC support.
Supports centralized logging for monitoring and forensic analysis.
Provides threat intelligence analytics, bot traffic analysis, and detailed reporting dashboards.
No specific mention of A/B testing for security features.
Likely provides sandbox environments for safe testing during onboarding, but no explicit public info.
Supports API versioning for backward compatibility and incremental upgrades.
Offers developer documentation, integration guides, and SDKs to facilitate deployment.
Provides SDKs and integration tools compatible with many programming languages used in web and mobile platforms.
Uses automated testing as part of product development; external support tools not publicly disclosed.
Follows modern CI/CD best practices in cloud deployment but no explicit client-facing tools mentioned.
Supports blue-green deployment methodologies for seamless update roll-outs.
Supports rollback options to revert changes when needed in deployment pipelines.
Built-in performance and security monitoring to maintain SLA adherence.
Likely used internally for diagnostics and debugging though not publicly featured.
Internal profiling tools for product optimization; no external offering.
Supports seamless updates with minimal or zero downtime.
No hardware requirements due to SaaS cloud-native deployment.
Supports multi-tenancy to serve multiple clients securely on the same infrastructure.
Scales to support millions of concurrent users through global PoP network and cloud infrastructure.
Designed for horizontal scaling via cloud and edge computing.
Low latency bot detection with under 2 milliseconds decision-making to avoid user experience degradation.
Global distribution with over 30 PoPs across multiple continents for geographically optimized protection.
Supports disaster recovery as part of cloud infrastructure SLA and redundancy.
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Supports zero-downtime updates through cloud-native deployment practices.
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Protects across all digital platforms including desktop, mobile, and tablet browsers and apps.
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Integrates with over 50 platforms and technology stacks including cloud providers, CDNs, and security tools.
Integrates with major CMS and e-commerce platforms through APIs and plugins.
Supports fraud protection for payment gateways by filtering fraudulent transactions.
Likely integrates with CRM platforms indirectly via API for fraud alerting and user profiling.
Supports integration to prevent fraudulent clicks and improve ad spend effectiveness.
No explicit public information.
Supports export and integration with BI tools for fraud analytics.
Assists with compliance reporting for PCI DSS, GDPR, and other regulations.
Protects all user registration methods against automated and fraudulent account creation.
Complements 2FA by blocking automated attacks but does not provide native 2FA.
Supports integration with KYC systems for enhanced identity verification.
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Uses geolocation data for risk assessment and threat detection.
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Monitors user behavior to detect anomalies and fraudulent activity.
Provides alerts on suspicious activities for proactive incident response.
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Provides dedicated account managers for enterprise clients.
Supports detailed user segmentation based on behavior and risk.
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Supports integration for fraud monitoring and user management.
Indirect support through fraud filtering on marketing platforms.
Indirect support via alerting for suspicious activity.
Indirect support via security alert notifications.
Provides support ticketing system for client issues.
Offers live chat as part of customer and technical support.
Provides multi-level technical and customer support structures.
Supports multiple languages for global customer support.
Maintains extensive knowledge base and documentation for self-service.
No explicit public information.
Supports automated and manual account blocking to prevent fraud.
Supports temporary freezing of suspicious accounts.
Not directly provided but integrates with client systems for secure workflow.
Fully compliant with GDPR for user data protection.
Supports client rights to user data deletion per GDPR standards.
Supports export of user data as required by regulations.
Integrates with multiple online payment systems for fraud detection.
Protects against fraud in bank transfer channels by monitoring transaction behavior.
No explicit public information on cryptocurrency payment fraud protection.
Supports fraud prevention for e-wallet transactions.
Supports securing mobile payment channels from fraud.
No explicit public info.
Protects real-time deposit processes via fraud detection.
Supports security for scheduled transactions.
Monitors withdrawals to mitigate fraud risk.
No explicit public info but likely supports through integration.
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Supports fraud prevention across multiple currencies.
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Supports anti-money laundering by monitoring suspicious transactions.
Provides automated screening of transactions to detect fraud.
Likely integrates with sanctions and watch lists for compliance.
Supports suspicious activity reporting as part of security alerts.
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Automatic periodic generation of security and threat reports.
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Indirectly supports by ensuring transaction validity.
Helps reduce chargebacks by blocking fraudulent transactions.
Core feature to detect and block payment fraud in real time.
Supports integration with 3D Secure authentication workflows.
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Holds standard security certifications relevant to cybersecurity SaaS.
No explicit public confirmation but industry best practice implies adherence or pursuit.
Assists clients in PCI DSS compliance for payment data security.
Fully supports GDPR compliance in data security and privacy.
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Conducts regular internal and external security audits.
Supports and performs penetration testing to secure platform.
No public information on a bug bounty program.
Supports data encryption at rest.
Supports encryption of data in transit.
Supports secure end-to-end encrypted data flows.
Implements key management systems to secure cryptographic keys.
Likely supports hardware security modules as part of security architecture.
Integrates intrusion detection systems as part of overall security posture.
Provides real-time Layer 7 DDoS attack detection and mitigation.
Compatible with web application firewalls and includes WAF capabilities.
Supports rate limiting to control suspicious traffic volumes.
Continuous security monitoring with 24/7 SOC coverage.
Provides integration capabilities with SIEM systems for security event management.
Issues automatic alerts for detected security incidents.
Follows structured incident response procedures and escalation.
Cloud provider infrastructure ensures backup and disaster recovery capabilities.
Provides geographic redundancy through globally distributed PoPs.
Offers 99.9% SLA uptime guarantees with fast recovery objectives.
Business continuity plans supported by cloud architecture and operational SOPs.
Implements strict access control measures for system and data security.
Supports role-based access control for user permissions management.
Maintains detailed audit trails for all system actions and events.
Includes built-in analytics for traffic, threat detection, and system health.
Provides real-time analytics and reporting dashboards.
Offers operator and administrator dashboards for management and monitoring.
Supports custom reporting tailored to client requirements.
Automatic periodic generation of security and threat reports.
Supports scheduled delivery of reports to stakeholders.
Allows data export in common formats like CSV, JSON, and XML.
Enables data mining capabilities for deep analysis of traffic and threats.
Uses machine learning for predictive analytics in threat detection.
Incorporates machine learning analytics to improve fraud detection accuracy.
Provides analytics on user behavior to detect anomalies and fraud patterns.
Supports cohort analysis to segment and monitor user groups.
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Helps optimize revenue by preventing fraud-related losses and improving user trust.
Provides support via email, ticketing systems, live chat, and phone for enterprise clients.
Offers 24/7 technical and customer support.
Provides multi-level escalation support for incident resolution.
Supports remote diagnostics and troubleshooting.
Provides onsite support as necessary for enterprise contracts.
Maintains an integrated ticketing system for issue tracking and resolution.
Provides SLA guarantees typically at 99.9% uptime and response time commitments.
Offers priority support packages for critical clients.
Assigns dedicated account and technical managers to enterprise clients.
Provides migration assistance for on-premise or legacy solutions to DataDome SaaS platform.
