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Shawn Colpitts, CPFPP
Senior Fraud Strategy Manager
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Part 1: Why Traditional Fraud Tools Miss the Mark – And How Spec Does It Differently

Welcome to the first entry in my blog series where I dive into what really sets Spec apart from traditional fraud prevention platforms.

If you’re like me, someone who’s been in the trenches battling fraud, policy abuse, and identity manipulation, you know that the tools we’ve had over the years just don’t cut it anymore. The attacks have changed, but the playbooks haven’t.

We’re not in 2015 anymore. Fraud isn’t static. It’s evolved. Fraudsters today are sophisticated, fast-moving, and adaptive, exploiting blind spots across apps, APIs, and user journeys. So why are so many of the tools fighting them still stuck with rules that only fire on a single API call?

In this series, I’ll walk you through some of the capabilities that make Spec unique and stand out above the rest, not just in theory, but in practice, with my thoughts on them all.

Each post will spotlight powerful features that help us outsmart attackers and actually prevent fraud before it becomes loss.

Let’s start with one of our most foundational game-changer: Real-Time User Behavior Tracking.

Real-Time User Behavior Tracking

Let’s face it: most platforms only know what’s happening once you send them an API call. That’s like trying to stop a bank robbery by reviewing a single camera feed from the vault, after the robbers have already left. You’re reacting too late, and you’re missing context.

Spec integrates right at the network level. That means we see everything — the second someone lands on your site, the clicks they make, the pages they visit, the friction they encounter, and yes, the API calls too — all captured in real time, before a single credential is entered or an API call is made.

We follow the entire customer journey, not just the highlight reel, and I appreciate that I can see what everyone has done every step of the way.

I like to think of it this way: most platforms leave you following a trail after the fact, piecing together clues. With Spec, the road is already paved. As soon as a user touches your platform, we automatically stitch their every interaction into a single, continuous session, and when that user returns, we pick right back up where they left off, connecting each session to their identity and  behavior over time.

I don’t have to follow a trail. Spec paves a road to my destination.

This visibility allows us to make high-confidence decisions without forcing customers through friction-heavy verification at every step.

SEE IT IN ACTION: Book a demo with a Spec Fraud Expert

Use Case: Payment Fraud

Let’s take a classic fraud scenario: someone testing stolen credit cards.

They land on your site and head straight to checkout. On the surface, it looks like any other transaction attempt, but behind the scenes, the behavior is telling a very different story. Before they even get to the payment screen, the warning signs are already there, if you know where to look.

These actors rarely behave like genuine customers. Instead of browsing product listings, reading reviews, or spending time on the site like a typical buyer, they rush through. Their sessions are streamlined and synthetic; rapid page hops, direct URL visits that skip the homepage, and barely any interaction with page elements. No mouse movement, no scrolling, no signs of curiosity or intent. It's clear they aren't here to shop... They're here to test.

Often, they'll register an account with disposable credentials, skip profile enrichment steps, or immediately try to access restricted areas like checkout or account settings. Some won't even bother signing in. They'll probe for access paths unauthenticated. This high-speed, high-efficiency movement is a red flag in itself.

And even if they switch accounts or devices, Spec can still detect the behavior because we link sessions using unique identifiers like behavior-based fingerprints, network signals, and our proprietary Spec ID.

If the bad actor ditches one account and comes back with another — or three — we still see them. The evasive behavior doesn't disappear just because the username changed. It travels with them, and Spec does, too

Traditional fraud tools might only see that final payment attempt in isolation. By then, the fraudster has already fine-tuned their inputs to increase the chance of success.

But with Spec’s Real-Time User Behavior Tracking, we see the entire session as it unfolds — every failed attempt, every retry, every behavioral signal — and continuously update the risk profile in real time.

By the time they click “Pay,” we already know it’s suspicious; the failed form submissions, the device fingerprint consistency, the session traits, the behavioral red flags that have built up across the entire interaction.

At that point, we can take action before the payment even clears, whether that’s blocking the transaction outright, feeding it into adaptive models, or even routing the fraudster into a honeypot.

Wrapping Up

In my time fighting fraud, I’ve seen how easy it is for attackers to slip through the cracks when you’re only looking at snapshots — single API calls, isolated events, or rigid rules that don’t adapt fast enough.

That’s how fraud thrives: in the gaps between systems.

Real-Time User Behavior Tracking shows just how much more powerful fraud prevention can be when you actually see what’s going on across the entire user journey and can tie those journeys together.

Instead of chasing breadcrumbs after the fact, you see the fraud develop as it happens. That’s what gives you the confidence to act sooner, with far less friction for your legitimate users.

And this is just the start.In our next post, we’ll dive deeper into Spec’s multi-event behavioral modeling, stitching together events across sessions and touchpoints to build risk profiles based on full behavioral patterns.

Stick around. We’re just getting started.

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Get Started with Spec

Getting started with Spec is simple and fast. We designed integration to eliminate common barriers and accelerate time to value:

  • No major re-instrumentation required: Sessions automatically start when users land on your site or app.
  • Lightweight integration: API calls are linked to sessions in real-time through simple configuration.
  • Spec ID activates immediately: Returning users are fingerprinted and connected across sessions as soon as integration is live.
  • Full support and onboarding: Our team guides your integration process, ensuring fast time-to-value.

You don’t need to rebuild your fraud stack to start seeing full customer journey visibility. Learn more.

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Shawn Colpitts, CPFPP

Senior Fraud Strategy Manager

As a seasoned fraud management professional with nearly 6 years of experience and CPFPP certification, Shawn specializes in developing and executing comprehensive fraud strategies that protect businesses from financial and reputational losses due to fraud. His background includes leading fraud investigations, building in-house fraud solutions, and enhancing fraud analytics capabilities at companies like Neo Financial and JustEatTakeaway.com. Shawn thrives in high-pressure environments where swift and accurate decision-making is critical. His passion for fighting fraud extends beyond the workplace and he is deeply committed to the fraud-fighting community.

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