Intent Intelligence
Intent intelligence for engineering and platform teams
Intent intelligence for engineering and platform teams
Darwinium runs inside the CDN you already operate: Cloudflare, AWS CloudFront or Akamai.
Intent intelligence covers every web, mobile, API and MCP request without another application stack to run, scale or patch. Deployment is configuration-led, works with your existing CI/CD and infrastructure-as-code processes, and typically takes hours rather than weeks.
What does it take to deploy Darwinium?
Deployment is primarily configuration-led. You can manage it through Darwinium's deployment manager or build it into your existing CI/CD and infrastructure-as-code pipelines.
Most CDN deployments can be completed in hours rather than weeks. Exact effort depends on your CDN environment, internal security review, traffic architecture and chosen implementation.
The question to ask any vendor: tags on every page and SDKs in every flow, or a configuration in infrastructure you already run?
Why run intent decisioning at the edge?
The CDN is the perimeter every request passes through before it reaches an application server. That includes page loads, mobile app calls, API requests and the tool calls AI agents make over MCP.
Decisions are made in-line, in milliseconds, before a request touches core systems. A lightweight Darwinium worker runs in your CDN environment, which reduces round-trips to Darwinium's cloud. Because it runs on edge workers rather than a reverse proxy, it uses your CDN's own infrastructure and resiliency instead of adding a potential single point of failure.
How do we add coverage to new journeys and endpoints?
New endpoints are brought under control from the Darwinium portal, not through a development cycle.
You integrate once, then decide in the portal which pages, endpoints and interactions to profile and protect. Adding a page to a journey takes a configuration change, not an IT project.
Rules, features and models can be created and updated without depending on application release cycles.
Will it affect performance or availability?
Profiling and risk evaluation apply only to the pages, endpoints and interactions you choose. Risk processing runs alongside the customer journey, so real-time decisions don't add friction.
Unwanted traffic is deflected at the edge before it reaches origin.
If a supporting service is temporarily unavailable, configurable fail-open controls keep legitimate traffic moving according to the policy you set.
How do we change, roll back or remove it?
Edge deployments are versioned and go through a controlled release process. They can be suspended, rolled back or undeployed at any point.
Undeploying removes the Darwinium workers or functions and preserves your underlying CDN behavior. Journey and risk-logic updates are built, reviewed and released the same way.
Profiling JavaScript can be served from your own CDN and domain, so updates follow your existing change controls.
- Deployment in hours rather than weeks
- Supported CDNs: Cloudflare, AWS CloudFront and Akamai
- One deployment covers web, mobile, API and MCP traffic
- 89% of organizations expect non-human traffic to increase over the next 12 months
FAQs
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