AI-Driven Code Audit
Designed for scenarios such as system launches, version iterations, third-party deliveries, and secure development governance, our AI Code Audit service combines AI-assisted analysis with professional security expertise. It helps teams identify code security risks, prioritize critical issues, and produce audit findings that support clear communication and effective remediation.
AI-Assisted Code Security Audit
AI Code Audit is tailored to an organization’s code assets and specific project context. AI improves the efficiency and coverage of risk discovery, while security experts validate findings against business context and determine their priority. This approach provides clients with security findings that are both comprehensive and focused, together with actionable guidance for remediation.
# 01
AI-Assisted Analysis & Risk Discovery
AI-powered code understanding enables rapid analysis of source code and project materials, identifying and consolidating security risk indicators that require further review while reducing repetitive manual inspection.
# 02
Expert Assessment & Validation
Security experts assess high-priority findings in the context of system purpose, business scenarios, and deployment environments. Invalid findings are filtered out so that teams can focus on genuine and potentially exploitable security issues.
# 03
Remediation Collaboration & Closure
Audit findings are organized in a clear, actionable format, providing development, security, and project teams with remediation guidance and support to resolve issues efficiently.
Audit Services Across Key Development and Delivery Stages
Audit priorities are tailored to the characteristics of each project stage, helping teams incorporate code security into releases, iterations, acceptance reviews, and continuous improvement.
# 01
Security Review for Version Iterations
For major releases and functional changes, the review focuses on newly added code and affected areas. It helps development teams understand potential security risks introduced by changes and supports continuous improvement.
Impact Analysis
Continuous Security Improvement
Incremental Risk Identification
# 02
Software Supply Chain Code Audit
Security experts assess high-priority findings in the context of system purpose, business scenarios, and deployment environments. Invalid findings are filtered out so that teams can focus on genuine and potentially exploitable security issues.
Software Supply Chain Security
Delivery Audit
Pre-Acceptance Review
# 03
Secure Development Governance
Across multiple projects and development teams, the service identifies recurring risks and areas for improvement, supporting more consistent code security requirements and secure development practices.
Common Weakness Analysis
Multi-Project Governance
A Standardized Audit Process from Requirements to Communication
The service is organized around five stages: requirement confirmation, material preparation, AI-assisted analysis, expert validation, and reporting and communication. This ensures that audit outputs align with the relevant business context and management requirements.
Requirement Confirmation
Clarify the project background, audit objectives, code scope, schedule, and communication approach.
Material Preparation
Collect source code, architecture documentation, version information, and other necessary project materials to establish the basis for audit analysis.
AI-Assisted Analysis
Use AI to rapidly analyze code and identify relationships across findings, highlighting risk indicators that require further attention.
Expert Validation
Security experts validate and classify priority findings in the context of the business environment, ensuring that audit results remain focused and reliable.
Reporting & Communication
Deliver audit findings and remediation recommendations, and communicate priority issues with development, security, and project teams to support implementation.
AI-Assisted Code Security Audit
AI Code Audit is tailored to an organization’s code assets and specific project context. AI improves the efficiency and coverage of risk discovery, while security experts validate findings against business context and determine their priority. This approach provides clients with security findings that are both comprehensive and focused, together with actionable guidance for remediation.
# 01
AI-Assisted Analysis & Risk Discovery
AI-powered code understanding enables rapid analysis of source code and project materials, identifying and consolidating security risk indicators that require further review while reducing repetitive manual inspection.
# 02
Expert Assessment & Validation
Security experts assess high-priority findings in the context of system purpose, business scenarios, and deployment environments. Invalid findings are filtered out so that teams can focus on genuine and potentially exploitable security issues.
# 03
Remediation Collaboration & Closure
Audit findings are organized in a clear, actionable format, providing development, security, and project teams with remediation guidance and support to resolve issues efficiently.
Audit Outcomes That Support Remediation and Decision-Making
Audit results are organized around scope, risk, priority, and remediation direction, helping security teams, developers, project owners, and management establish a shared understanding and move remediation forward.
Typical Deliverable
Based on the agreed audit scope and identified findings, a structured audit report is prepared, including a risk list, severity classifications, and remediation recommendations. This helps stakeholders align on priorities and define the required follow-up actions.
# 01
Improve Audit Efficiency & Coverage
AI enables rapid analysis of large volumes of code, helping security teams build an overall understanding more quickly and focus their expertise on critical risks.
# 02
Establish Clear Risk Priorities
Findings are categorized and prioritized according to their potential business impact, helping teams plan remediation in an appropriate order.
# 03
Support Critical Decisions
Structured security insights provide a reliable reference for release decisions, project reviews, and third-party delivery acceptance, helping reduce decision-making risk.
# 04
Enable Long-Term Security Improvement
Recurring issues and common patterns identified during audits provide direction for strengthening secure development governance and improving organizational security capabilities over time.
