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Authmatech
Customer intelligence · Behavior intelligence

Catch fraud and abuse before it becomes a story.

Authmatech Detect builds a behavior timeline across your customer base — flagging multiple accounts on a single device, sudden geography shifts, abuse bursts — and surfaces them as actionable signals your team can act on, while they still matter.

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Built for: Risk, fraud, and trust-and-safety teams who need real signal in real time — without building yet another internal behavior engine.

~minutesMedian time to detectiondown from days
40+Pre-built signal typesindustry-tuned
−54%Account-sharing incidentsmeasured post-rollout
99.7%Alert precisiontuned to your false-positive tolerance
Why teams choose it

What Detect gives you, in plain terms.

The wins your team and customers feel from day one — in simple, everyday terms.

Early warning

See unusual customer behavior minutes after it emerges — not days later, when the cost is already on the books.

Spot abuse before it scales

Identify farm accounts, evasion, and promo gaming early — when intervention is cheap and customer experience stays clean.

Catch campaign abuse fast

See coupon farming, referral gaming, and bonus abuse before they eat your marketing budget.

Smart prioritization

Detect ranks signals by severity so your team works on the ten alerts that matter — not the thousand that don't.

What's inside

What makes Detect work.

The features behind the result — ready for real-world use from day one.

Behavior timeline

Every customer is a timeline of trusted, normal, and notable events. Detect surfaces the ones that deserve attention.

Identity & device graph

Maps relationships between accounts, devices, and verified mobile identities — at scale, in real time.

Industry-tuned defaults

Pre-built signal packs for financial services, e-commerce, and digital platforms. Live on day one, customizable from week one.

Webhook delivery

Pipe alerts directly into your existing incident tools — Slack, PagerDuty, SIEM, ticketing — with one webhook.

Where it fits

Where Detect helps most.

See how teams in each industry put it to work — and what they get out of it.

Financial Services

Open accounts in seconds and keep every transaction trusted, from onboarding to payout.

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E-commerce & Retail

Increase checkouts and reduce drop-offs with smart, invisible authentication that stops fraud.

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Digital Platforms

Grow your community with more real signups and fewer fake accounts.

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On-demand Applications

Build trust on both sides of every interaction with verified users from ride to drop-off.

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FAQ

Common questions about Detect.

Straight answers from our solutions team. If yours isn't here, we'll reply within one business day.

Multiple accounts on a single device, sudden geographic shifts, promo and coupon abuse bursts, referral gaming, velocity anomalies (sudden spikes in attempt rate), and identity-graph patterns that indicate farming or evasion. Detect ships with 40+ pre-built signal types tuned to financial services, e-commerce, and digital platforms — live on day one, customizable from week one.

A SIEM aggregates infrastructure security events. A generic fraud platform scores transactions. Detect surfaces identity-anchored customer behavior signals — across your customer base, in real time. Detect feeds INTO your SIEM, ticketing, or incident pipeline via webhook; it doesn't replace those tools, it gives them higher-quality customer behavior signals to work from.

Median time to detection is minutes — down from days with traditional batch-analytics approaches. Detect's streaming behavior engine evaluates signals as events arrive, so customer abuse you'd typically discover at end-of-month surfaces while the journey is still active and intervention is still cheap.
Customer intelligence · Behavior intelligence

Make your trust team faster than the attackers.

Walk us through the customer behavior that worries you. We will tune Detect to your data, your tolerance, and your team's workflow — and ship signals from day one.

Talk to Solutions TeamSee all products
  1. Step 01Normal activity
  2. Step 02Anomaly spotted
  3. Step 03Alert raised
  4. Step 04Resolved