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Darwinium Intent Intelligence

Know what every human and agent means to do. At every step.

Intent intelligence is the ability to tell trusted from risky behavior as a journey unfolds, whether a person, a bot or an AI agent is taking the next step. Darwinium delivers it from the CDN you already run.

Identity answers who. It can't answer why.

Most fraud and security controls make one decision at one checkpoint. A login. A device check. A payment score. Each answers "who is this?" at a single moment, and each can be passed by someone who shouldn't be there.

Authenticated Customer

An authenticated customer can still be coached into sending money to a scammer.

Authorized AI Agent

An authorized AI agent can start out doing exactly what the customer asked, then take an unexpected turn.

Undeclared Agent

An undeclared agent can arrive with no identification at all, and most businesses have no policy for it.

Block automation and lose legitimate demand, or allow it and lose control.

In Darwinium's network, only about one in four agentic transactions self-declares, and transactions involving agents are rejected nine times as often as other purchases. Meanwhile only 36% of fraud, risk and security leaders believe they have effective coverage across the full customer journey.

The question has changed. Not "is this a bot?" but "is this human or agent doing something trusted or risky, right now, at this step?"

Intent Intelligence - Defined

Intent intelligence is the continuous assessment of what a human or agent is trying to do, built from how they behave and the path they take, not just the credentials they present. It reveals whether each step of a journey is consistent with a legitimate goal, and it acts before a risky step completes.

Three things make it different from the controls you already run:

Traditional Controls*

  • Decide once, at a checkpoint
  • Score the request or the session
  • Treat humans, bots and agents as separate problems with separate tools

Intent Intelligence

  • Decide at every step, as the journey unfolds
  • Score the sequence: this step, in this order, at this speed
  • One model, one journey, every actor

How Darwinium Does It

Four signal families. One journey.

Darwinium captures everything a risk decision needs from the moment traffic arrives, and carries that context across every step.

Here are the typical signal families and what they tell you.

Device Signals

Is this the device we know? Emulator, headless browser, datacenter origin, TLS fingerprint, proxy or VPN.

Behavior Signals

Does this person move like themselves? Typing, mouse, swipe and tilt patterns, read across every field and every step, not just login. Or, for an agent, the absence of any human signal at all.

Identity Signals

Do the identifiers cohere? Account, email, phone, network and location, joined into persistent Digital Signatures that hold up even when individual attributes change. For agents: a validated Web Bot Auth, Visa TAP or Mastercard Agent Pay signature.

Journey

Does the path make sense? Which step followed which, how fast, and how that compares with this customer, this business and this type of journey.

Darwinium Capabilities

Two capabilities turn those signals into intent intelligence

Scores every step of every journey against what normal looks like. It reveals activity that looks ordinary at one step but becomes suspicious in the context of the full path. It works for every actor, human, bot or agent, and it works on day one.

All of it from your existing CDN

Darwinium runs inside Cloudflare, Akamai and AWS CloudFront, the infrastructure your traffic already passes through. That is why it sees every request, web, mobile, API and MCP, before it reaches your application, and why it can act in milliseconds: permit, verify, challenge or prevent, calibrated to the risk at that step. No application code changes. No vendor JavaScript on every page. New endpoints come under control from the portal, not through a development cycle.

Built for the era of agentic attacks
Why Darwinium

Built for the era of agentic attacks

Darwinium was designed after attacks and customers both became AI-driven. Agent Intent Detection, MCP Protection and Journey Transition Probability are native to the platform, not features bolted onto a bot tool.

One journey across every surface

One journey across every surface

Web, mobile, API and MCP tool calls in one record, scored by one model. The agent's tool-call trail and the human's checkout sit side by side. Nobody else joins them.

Instant, calibrated action

Instant, calibrated action

Permit, verify, challenge or prevent in milliseconds. Friction only where the risk is.

Every signal a decision needs

Every signal a decision needs

Device, behavior, identity and journey intelligence in one event, so security and fraud teams work from the same picture.

Explainable

Explainable

Every flag comes with the why: which step, which signal, how far from normal. Analysts can rule on each one.

The industry produces identity. We understand intent.

Agent identity and payment standards each answer one question and explicitly leave risk to another layer. Darwinium is that layer, and it can speak these protocols on your behalf at the edge, with no backend changes.

Standard

Standard

  • Web Bot Auth / Visa Trusted Agent Protocol
  • Mastercard Agent Pay
  • Google AP2 / delegated tokens
What it answers

What it answers

  • Is this a known, signed agent?
  • Is this agent authorized to pay?
  • Did the user authorize this payment?
What Darwinium adds

What Darwinium adds

  • Is this agent doing the right thing, right now?
  • Is the journey consistent with that authorisation?
  • Was the session coerced or compromised before money moved?

What customers see

50% less fraud

40% greater operational efficiency

Deployment measured in minutes or weeks, not transformation programs

"Darwinium vastly improves our visibility into user intent and behavior across surfaces, whether the user is an agent or a human. Web traffic is at an inflection point where user-agent declarations and even statements of intent are becoming moot. We need to track whether behavior matches stated intent over time."

Jon Ferrari

Senior Manager, Fraud Prevention and Application Security

See intent intelligence on your own traffic.

Start in monitor mode and see what your human and agent traffic actually looks like today. Switch to enforcement when you're ready, with one rule change.

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