The Evolution Platform: Configure Without Compromise
What Makes Darwinium Technology Different?
Darwinium unites fraud, abuse and trust and safety use cases in one configurable platform, giving businesses complete control of user intent across the entire customer journey.
Unify Intelligence
Unite business units with continuous assessment of user traffic rather than point in time intelligence. Leverage a complete, real time customer view at every point in the customer journey.
Determine Intent
Separate automated and human traffic before it lands on your website. Differentiate trusted customers from high-risk and malicious users in real time.
Control Decisions
Dynamically inject step-ups or third party APIs based on user intent. Model user behavior. Decouple app development from fraud and risk.
Orchestrate Workflows
Integrate seamlessly with existing solutions using Darwinium as an integration layer. Remove integration effort of managing multiple disparate solutions.
Simplify Integration
Sitting on the Edge behind your CDN as a Darwinium-hosted solution, or optional one-click install onto a new or existing Kubernetes cluster in your private cloud.
Simplify orchestration with no-code for business users, zero DevOps for developers and zero MLOps for data scientists
Contextualize fraud and abuse intelligence, from the packet to the person
The only solution capable of evaluating full device, session, behavior, identity and content. Provides a continuous view across endpoint, edge and cloud for full visibility and control of web, mobile and API traffic.
Optimize customer journeys in real time, according to trust and risk
Add or remove friction to a user journey based on historic and in-session behavior, intent, risk and customer value. Increase friction for automated and high-risk traffic. Suppress challenges for recognized valuable customers.
Prioritize customer experience without compromizing privacy
Move risk decisions closer to the data for improved agility and reduced latency. Define logic and detections once, and execute across multiple contexts: in-browser, on device, as an edge worker or server side.
Create decisions and strategies that delight customers and block fraudsters
Train, test and deploy machine learning models without risk, removing reliance on black box scores. Close the loop between experimentation and impact. Make fast, accurate and transparent decisions.