Expert Source Code Audit Services

A code audit is a structured security review of an application’s source code to identify weaknesses before they are exploited or released to production. It examines how the software handles inputs, identity, permissions, data, cryptography, errors, secrets, and dependencies. A strong audit validates findings manually and explains the affected code path, security impact, and remediation steps rather than simply listing scanner alerts.

Source code analysis is the examination of an application’s code to identify defects, security vulnerabilities, risky implementation patterns, and dependency issues. It can include automated static analysis, but a manual assessment goes further by evaluating business logic, data flows, authorisation decisions, and exploitability in context. For AI products, analysis can also cover prompts, retrieval logic, tool calls, and model input and output validation.

A source code audit typically covers input validation, injection risks, authentication, session management, authorisation, access-control logic, cryptography, secrets handling, unsafe deserialisation, error handling, and third-party dependency risk. Vynox also reviews AI-specific implementation areas where relevant, including prompt templates, RAG retrieval permissions, agent tool definitions, and validation of model inputs and outputs. Coverage is tailored to the application and its highest-risk components.

Penetration testing assesses a running application from an attacker’s perspective and confirms what can be exploited externally. A code audit examines the underlying implementation, exposing flaws that may not be reachable in a test environment or through the exposed interface. The two methods complement each other: code review traces root causes and hidden paths, while penetration testing validates real-world exploitability and impact.

Yes. Confirmed findings are documented with the affected file and line-level context, an explanation of the vulnerable pattern, evidence or reproduction context, severity information, and developer-ready remediation guidance. This format helps engineers understand not only what is wrong, but why it creates risk and how to correct it without introducing avoidable regressions elsewhere in the application.

Yes. Vynox reviews AI application code for security concerns that standard application reviews may not cover, including prompt construction, template handling, RAG retrieval and access-control logic, agent tool and function-call definitions, and model input and output validation. The assessment helps identify paths to prompt injection, data exposure, privilege escalation, unsafe tool execution, and insecure cross-tenant retrieval.

Timing depends on the size, complexity, languages, repositories, and risk profile of the codebase. Vynox scopes the review during a 30-minute discovery call, identifying the highest-value components and the appropriate engagement tier. The work is structured to produce actionable findings efficiently, with scope, timeline, and indicative pricing clarified before the engagement begins so engineering teams can plan remediation.

A source code audit can provide valuable evidence of secure development and independent security testing for SOC 2 or ISO 27001 preparation. Vynox maps relevant findings to control evidence requirements and prioritises remediation by certification impact. It is not a certifying audit, but it gives teams an assessor-ready technical report and documentation that can support customer security questionnaires and audit conversations.