Outcome
Identified 7 critical security risks before production release.
Context
A startup had rapidly built a new product feature involving payment processing and financial transactions. Much of the implementation had been generated quickly using AI-assisted coding workflows.
Problem
The client wanted to move fast but the code touched sensitive financial logic and external payment APIs. Without a structured review, the team risked shipping vulnerabilities that could affect customer funds and platform reputation.
What we built
A targeted security and architecture audit of the payment flow, reviewing critical code paths, dependency risks, and API integrations.
Our approach
The audit focused specifically on money-path logic and threat modeling. Code review sessions and architecture walkthroughs were combined with practical remediation recommendations for the engineering team.
Outcome
Seven critical and medium-risk issues were identified and resolved before release, including unsafe assumptions in transaction flows and API handling. The startup shipped the feature with stronger security controls and clearer engineering guidelines for future AI-assisted development.
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