Nullify's code security is AI-native static analysis that reasons about how your application actually works. It scans every commit and pull request across 16 languages, traces untrusted input through real code paths, and catches the business-logic flaws that signature-based SAST tools miss. Then it fixes what it finds.
Nullify analyzes your code from both directions. Top-down analysis traces user input — HTTP requests, API calls, file uploads — through your application logic to identify unsafe data flows. Bottom-up analysis works backward from dangerous operations like SQL queries, OS commands and deserialization to determine whether untrusted data can reach them. Because the analysis reasons about behavior rather than matching patterns, it understands your framework conventions, your auth model and your data sensitivity. Every finding is then triaged against reachability, exploitability and business context before it ever reaches a human, and what's real gets fixed — not just reported.
Traditional SAST matches signatures and hands your team alerts. Nullify reasons about how your application behaves, which is why it catches logic flaws like IDOR and broken access control that have no signature — and instead of an alert, the output is a validated, merge-ready fix.
Sixteen languages, with framework-aware analysis — Spring and Jakarta EE for Java, Django, Flask and FastAPI for Python, Rails for Ruby, Node, Express and Next.js for JavaScript and TypeScript, Laravel for PHP, Axum and Actix for Rust including unsafe-block analysis, and more. The full list lives in the docs.
The finding is validated and scored against your business context, then remediated: Nullify writes a minimal root-cause fix, proves it works, opens a pull request routed to the right owner, and manages it — reading CI, fixing failures, responding to reviewers — until it merges. A human always makes the final merge call.
No — throughput is deliberately capped at three open Nullify fix PRs per repository and five per remediation plan. Combined with the 89% merge-ready rate, developers see a small number of PRs that are actually ready to approve.
Read the docs: Code Analysis · Supported Languages · Supported Weaknesses · Related: Triage & Remediation · Exploit Validation
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