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.
“ There was no technology in the industry that could provide the level of detail that Wiz does. ”
“ Because of Wiz, we’ve been able to democratize our approach to cybersecurity. Protecting our infrastructure is no longer concentrated in one team; the responsibility is distributed across the organization. ”
“ IT security governance has traditionally been somebody saying "You have to fix these vulnerabilities." Now, people can look up and say, "This is the attack path, and this is what I should do." ”
“ This new depth and breadth of visibility really made us pay attention. We were able to scan tenants and find new critical issues very quickly. ”
“ I'm a doctor, I take care of people, I was trained in preventative medicine. Wiz is like preventative medicine for us. ”
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