Too Many Security Alerts? Why Context Matters More Than Volume in the AI Coding Era

Wiz Research has published the second part of its series on application security posture management (ASPM), which focuses on deciding which problems to fix first. Once security tools feed their results into one place, the challenge shifts from finding issues to ranking them. The article cites Wiz's State of SDLC Security 2026 report, which says AI's main impact is not new kinds of risk. Instead, it amplifies existing ones by speeding up code creation, widening the attack surface and leaving less time for human review.

The central point is that context matters. Using the React2Shell example, Wiz argues that teams must tell the difference between theoretical flaws in code that has never been deployed and active vulnerabilities on internet-facing systems. Wiz Code does this in two layers. The first ranks individual findings by standardising scanner data, adding threat intelligence and network reachability details, and removing duplicate alerts from overlapping tools. The second uses the Wiz Security Graph to link code-level findings to live cloud conditions, turning isolated flaws into validated attack paths.

The article also describes how results from different scanners appear in the Wiz platform, such as code analysis, software component and secrets findings, and how they can be filtered by the tool that produced them. This is only the opening of the article, so further detail on enrichment is not covered here.