Trust & abuse engineering for |

We harden products against real-world abuse

We stop fraud and abuse that happens even when systems aren’t technically broken — by fixing the parts that allow it.

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Where systems break down

  • Features behave correctly, but are misused in ways no one explicitly designed for
  • Abuse hides in edge cases, thresholds, and “valid” behaviour
  • Automation and AI amplify small gaps faster than teams can react

What this turns into if left unchecked

  • The same issue resurfaces in slightly different forms after each fix
  • Engineering time is burned reacting instead of removing the root cause
  • Support load, refunds, and manual review quietly compound
  • Trust erodes once users or partners are affected
  • Issues escalate to legal, compliance, or leadership — where timelines slow and costs rise sharply

Where we step in

  • Model how real attackers exploit incentives, workflows, and “valid” product behaviour
  • Simulate abuse paths against live flows and trace them end-to-end
  • Identify the exact assumptions, gaps, and thresholds that allow harm to propagate
  • Implement controls that close the abuse path without breaking the product

What this looks like in practice

  • Hiring platforms where legitimate posts were used to run scams via workflow gaps
  • Marketplaces where automated actors stayed under review thresholds until trust collapsed
  • AI features that were correct in isolation but harmful once automated at scale

What changes after

  • Abuse paths are removed before they escalate into incidents
  • The same issue does not resurface in a new form weeks later
  • Teams know what to block, slow, or review — with clear decision boundaries
  • When challenged, there is a clear, defensible explanation of what happened and why

Why this approach works

  • We focus on real behaviour at scale, not hypothetical threats
  • We work at the product and workflow layer where abuse actually emerges
  • We remove entire classes of repeat issues, not one-off symptoms
  • We design fixes that hold up as systems evolve and complexity increases

About Maple Logic

Maple Logic is a specialist trust & abuse engineering studio founded by Chris Smith (CTO / engineer). We work with a small number of teams so we can stay deeply involved and deliver real, measurable outcomes.

If the issues above sound familiar, the quickest next step is a short call to understand what’s happening in your system and whether we can help.