Automated signups
Scripts and headless browsers create accounts faster than manual review can catch them.
Security assessment for SaaS + AI products
Stop account abuse. Protect your product and your margins.
Find out how repeat users, automated accounts and coordinated signups exploit your free trials, credits and promotions—before they quietly become part of your cost of growth.
No tools to sell.
Independent analysis, evidence-backed findings and a prioritized path to reduce abuse without punishing legitimate users.
100k
Your growth metrics can lie
100,000 users looks great—until they aren’t 100,000 people.
When one actor can create account after account, your acquisition data, infrastructure planning and unit economics become contaminated. You may be funding abuse while measuring it as growth.
The hidden attack surface
Your signup flow is a business system. Attackers treat it like one.
Def Code examines the complete path from account creation to benefit consumption and repeat signup—not only the individual controls in isolation.
Repeat-user exploitation
One person appears as many new customers to repeatedly claim the same incentive.
Resource drain
Abusive accounts consume GPU, voice, messaging and third-party services you pay for.
Distorted growth data
Fake uniqueness corrupts conversion, retention and customer-acquisition decisions.
The person doing the work
Princeton Ebanks
Founder & Principal Security Engineer
I built risk-detection and user-protection systems at Okta/Auth0. Def Code brings that experience to SaaS and AI companies whose growth models depend on knowing whether accounts represent real, distinct users.
You work directly with me—from discovery through technical investigation and the final remediation plan.
Okta / Auth0Risk detectionIdentity systemsAbuse-path analysis
What we look for
Evidence you can act on.
A finding connects the technical weakness to the abuse path, the business consequence and the control that should change.
HIGH-SEVERITY EXAMPLE
Repeat signup abuse bypasses IP rate limits
One actor can repeatedly claim the signup incentive using disposable identities. Existing per-IP limits slow bursts but do not link accounts created across sessions and network changes.
- Business impact
- Promotional credits and infrastructure spend can be consumed repeatedly by the same actor.
- Evidence
- Eight accounts share a recurring device and behavioral pattern despite rotating identities and IP addresses.
- Recommended control
- Apply incentive-level velocity rules using a small set of durable signals, with step-up verification for uncertain cases.
ILLUSTRATIVE FINDING — CLIENT DATA IS NEVER SHARED
How it works
A focused assessment, not an open-ended engagement.
Map the incentive
We learn your signup journey, what new accounts receive, your current controls and where abuse would create real cost.
Test the abuse paths
We examine controls and available telemetry for ways one actor could appear as many legitimate new users.
Fix what matters first
You receive a live walkthrough and a practical remediation plan ranked by impact, effort and user friction.
What you receive
Deliverables built around signup abuse.
Not a generic vulnerability report. Every artifact helps your product, security and engineering teams understand the same abuse problem.
01
Abuse-path map
How an actor moves from signup to verification, incentive consumption and repeat signup.
02
Account-relationship findings
Evidence that supposedly independent accounts may be controlled by the same actor.
03
Control-gap analysis
Where CAPTCHA, email verification, rate limits, IP controls and current safeguards fail.
04
Cost and impact estimate
A business-readable view of what successful abuse costs—or could cost—the company.
05
Prioritized countermeasures
What to fix first, balancing abuse reduction with friction for legitimate customers.
06
Executive and technical readout
A clear walkthrough for decision-makers, plus enough depth for the team implementing changes.
Simple engagement
Know where you’re exposed—and what to do next.
The assessment is scoped around one product and its signup incentive. You get a clear price, a defined timeline and direct access to the person conducting the work.
Start with a short conversation
Do your new accounts represent new users?
In 15 minutes, we’ll determine whether a signup-abuse assessment fits your product, incentive model and current stage.
Book your assessment call