Code security audits
A detailed examination of your source code, business logic and trust boundaries. Identify security weaknesses across applications, services and APIs.
Code audits for companies building what comes next. AI-assisted analysis, human-led judgement and clear guidance from discovery to remediation.
Focused security reviews that connect the implementation to the risks, assumptions and decisions behind it.
A detailed examination of your source code, business logic and trust boundaries. Identify security weaknesses across applications, services and APIs.
Focused analysis of contract logic, access controls and protocol interactions. Examine the assumptions behind the code that manages digital assets.
Move from findings to resolution with practical guidance, focused review of fixes and a clear record of the risks that remain.
Based on paid vulnerability-report contributions. Project names and logos do not imply a commissioned audit engagement or endorsement.
An AI-first audit methodology that combines analytical breadth with careful review of what matters to your system.
Define the codebase, review boundaries and security priorities. Build a working understanding of the architecture and its assumptions.
Explore each stage to see how an audit moves from scope to a useful security assessment.
A useful audit brings technical findings and business priorities together. Every deliverable should help your team decide what to do next.
A clear view of the review scope, key risks and priorities for your next decision.
Documented issues with severity, affected components and the reasoning behind the assessment.
Practical recommendations that give engineering teams a useful starting point for resolution.
The status of reviewed fixes, outstanding issues and the limits of the assessment.
AI brings a powerful perspective to code review. TeaTyme puts it inside a considered process, with human validation, defined scope and clear responsibility for the assessment.
AI supports code analysis and investigation, helping bring more of the codebase into view.
Findings are evaluated in the context of your system. Severity and recommendations depend on evidence and review.
Scope, code access and the use of AI tools are agreed before work begins. Findings are communicated privately through the agreed channels.
Tell us about your company, your codebase and your security priorities. Let's define an audit around the work that matters to you.
support@teatyme.co.zaFor audit enquiries and confidential engagement discussions.