Full Visibility, Context and Control of Entire User Journeys
The Best Data, at the Right Time, with the Right Context, and the Right Tools to Remediate
Integrate at the edge to see all traffic across the entire user journey. Real-time insights into device, network, identity, behavior, content and location
Powerful native feature generation. Native digital signatures to simplify comparison. No code orchestration of third party APIs
Remove reliance on black-box scores, use clear box industry decisioning. Developer and data scientist-friendly environment
Remove friction for good users. Direct changes to user journeys based on risk. Tailor messaging and content on a per user basis
What Makes Darwinium Technology Different?
Journey Orchestration: Dynamic, Continuous Risk Assessment with Tailored Remediation
Darwinium deploys in minutes across your digital estate. Business users can then tailor and adapt new journeys and configurations directly within the product. Darwinium combines layered native profiling of digital details (network, device, browser) with the ability to call out to any third-party APIs to conditionally enrich risk decisions. By combining this data, Darwinium solves the problem of getting all data into one place to make risk decisions.
Decision Engine: Powerful, Flexible and Future-Proofed
Darwinium’s decision engine unlocks insights and signals for new visibility of behavior in real-time. Businesses can train, test and deploy machine learning models without risk, removing reliance on black-box scores. Data scientists have the benefit of being able to use built-in Python notebooks. Journeys, features, rulesets and models are configurable by no-code GUIs, low-code or full code options to suit all user groups, whether technical or business-orientated.
Digital Signatures: Simplifying Vast Data into Actionable Intelligence
Every digital signature tells a story, and Darwinium’s proprietary digital signatures condense high variance data into bitmaps, that can be compared for similarity. They offer a shortcut to risk assessment that doesn’t need analysis of extensive rulesets or models, by checking whether something now has a similar match to a previous journey and outcome. This approach reduces false positives by giving a similarity threshold to scale up or down according to risk appetite. They don’t simply flag anomalies, they find patterns of behaviour, identity, content and context.
Portal and Data Architecture: Built for Scale and Resilience
Darwinium has been architected to provide long-term data storage and interrogation. Businesses can store data for human or machine analytics applications for 12 months rather than the industry standard of often less than 30 days, meaning they can benefit from realtime context and analysis of longer-term trends. A key feature is that businesses can store sensitive customer data on their own infrastructure.
Integrating on the Edge for Super Low Latency and Full Journey Visibility
Darwinium deploys on the edge, via CDN infrastructure, using edge workers. Darwinium can make decisions with little or no data interchange beyond the CDN, which means latency is in the order of < 10mS. Technology is designed to fail open, backed by the world’s leading CDN infrastructure with a proven track record of resilience. Businesses own the infrastructure that Darwinium is deployed upon, with full control over new and existing configurations. Sensitive data is encrypted at the edge. Edge workers only extract the data that a business specifies.