For over 30 years, Perforce QAC has been a trusted static analysis solution for C and C++ (Rust support coming March 2026), widely adopted in tightly regulated and safety critical industries. With its depth and accuracy of analysis, QAC has long been the preferred static analyzer for organizations that must meet rigorous coding standards, functional safety, and compliance requirements without compromising development efficiency. Unlike lighter weight static analysis tools, QAC performs deep, semantics based, whole program analysis that models runtime behavior and tracks data flow across the codebase. This level of analysis allows QAC to reliably detect complex and high risk defects that other tools often miss, while keeping false positives low—making it particularly well suited for safety critical applications where accuracy is essential. Built for Compliance and Functional Safety Perforce QAC simplifies compliance with leading coding standards, including MISRA C/C++, AUTOSAR C++, CERT C/C++, CWE, HIC++, and JSF AV. It is certified by TÜV SÜD for functional safety standards such as IEC 61508, ISO 26262, EN 50716, IEC 60880, and IEC 62304, providing confidence for use in certified development environments. QAC is also certified to ISO 9001 and ISO 27001, supporting organizations that require documented, repeatable, and auditable quality processes. Risk Prioritization and Centralized Visibility QAC enables teams to prioritize issues based on severity and risk, using filters, suppressions, and baselines to focus on the most impactful defects first. Its centralized analysis dashboard provides a browser based view of analysis snapshots, trends, and metrics across projects. Customizable views allow teams to: • Review code quality and compliance by project or component • Identify deviations from coding standards • Track trends over time with tailored reports • Assign and manage rule configurations such as MISRA, AUTOSAR, and CERT AI Assisted Code Remediation with MCP QAC extends static analysis with AI assisted code remediation, designed to help developers resolve findings faster and with greater confidence. Using MCP based capabilities, QAC securely exposes rich static analysis context—defect data, rule knowledge, and precise fix guidance—to supported AI code assist tools directly within the IDE. Rather than relying on generic AI suggestions, QAC’s remediation feature combines deep static analysis insights with comprehensive documentation and exact fix instructions, enabling AI assistants to propose accurate, context aware corrections for security vulnerabilities, quality defects, and coding standard violations. Fixes are presented as clear diffs and require developer review and approval, making the approach suitable for safety and security critical environments. By integrating remediation into the developer workflow, QAC reduces time spent interpreting analysis results, researching fixes, and switching between tools. Developers stay in their IDE, receive guided remediation aligned with secure coding standards and project specific rules, and can immediately re analyze code to validate fixes. This completes the optimal shift left approach—helping teams not only find issues early, but fix them efficiently and consistently.