Static Application Security Testing (SAST)
Wiz combines rule-based and agentic SAST. Its orchestration system applies security harnesses to advanced AI models, enabling them to reason about code intent and validate reachable/exploitable risk.
Code weaknesses are validated by an AI-powered attacker using the context of your code, cloud, and runtime environment. Security and development teams focus on genuine threats, not theoretical risks.
Wiz correlates SAST results with cloud context, identity exposure, and runtime data to surface toxic combinations: the risks that are actually exploitable end-to-end. Instead of triaging thousands of findings, your team focuses on the ones that represent a real attack path.
Apply a single set of security policies across code, CI/CD, and cloud environments. No duplicate rules, no disconnected tools. Just consistent enforcement from the first commit to production.
Our AI engine understands the context of your codebase and reasons about it the way an attacker would. It’s able to surface intent dependent vulnerabilities like business logic flaws and broken authorization that pattern matching engines typically miss.
Building AI applications comes with a new threat model. Wiz extends its detection rules to cover the OWASP Top 10 for LLM and Agentic Applications, so development teams can build secure AI native applications.
Wiz's SAST triage agent explains exploitability and surfaces likely false positives. AppSec teams get the clarity they need to make confident decisions without getting buried in complex findings.
IDE scanning surfaces issues as developers write code in Lovable, JetBrains, and VS Code. Remediation agents generate pull requests for supported findings in seconds. Security gets resolved in the tools developers already use, without breaking velocity.
Traditional SAST delivered noise, but the shift to Wiz SAST, leveraging the Security Graph’s cloud context, allows us to prioritize only the real, exploitable issues instead of thousands of findings.
Wiz SAST is built into the same platform that knows your cloud — so every finding comes with the context your team needs to prioritize, assign, and fix it fast.
Deterministic rules and AI reasoning together catch a wider class of flaws and adversarial testing validates each one from the outside. Your team gets broader coverage and fewer false alarms, not just a longer backlog.
AI-assisted remediation explains vulnerabilities in context and generates secure fixes directly in pull requests. Developers resolve issues in seconds, not days, without leaving their workflow or waiting on security team reviews.
SAST is built into the same platform that secures your cloud. No new vendor to onboard, no separate policy engine to configure, no integration work to maintain. If you're already on Wiz, you're already most of the way there.
“ No he visto nada más en este momento que pueda darte un impacto tan grande como Wiz. ”
“ Un día después de la implementación, Wiz trabajó en todo nuestro entorno y nos mostró un conjunto de hallazgos críticos que todos deberían priorizar de inmediato. ”
“ Soy un médico, me encargo de las personas, fui capacitado en medicina preventiva. Wiz es como la medicina preventiva para nosotros. ”
“ Esta nueva profundidad y amplitud de visibilidad realmente nos hizo prestar atención. Pudimos escanear los inquilinos y encontrar nuevos problemas críticos muy rápidamente. ”
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"La mejor experiencia de usuario que he visto en mi vida, proporciona una visibilidad completa de las cargas de trabajo en la nube."
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"Sabemos que si Wiz identifica algo como crítico, en realidad lo es."
