7 Best AI SAST Tools in 2026 (Compared)

The best AI SAST tools in 2026 are ZeroPath (LLM plus AST analysis for logic and auth bugs), Corgea (AI-native SAST with fixes as PRs), DryRun Security (contextual security review on every PR), Gecko Security (business-logic flaws with proof-of-concept exploits), Nullify (AI security workforce for mid-size teams), Semgrep (rules plus AI triage) and ARGUS (AI review on top of SAST, with cross-repo API-to-data maps and verified fix pull requests).

Last updated 3 November 2026. Prices and features were checked on each vendor's own site between 23 October and 3 November 2026 and can change.

Traditional static analysis matches code against rules. It's fast and predictable, and it's good at known patterns such as SQL injection through string concatenation. It's weak at flaws that depend on what the code is supposed to do: a missing ownership check, an endpoint that skips authorization, a multi-step business-logic bug. That class, broken access control, is number one in the OWASP Top 10 and number four in the 2025 CWE Top 25 as missing authorization. AI SAST tools use large language models, alone or alongside rule engines, to reason about intent and catch exactly those flaws. This guide compares seven, says where each falls short, and how to evaluate them on your own code. For classic SAST tools, see best SAST tools for startups.

What is AI SAST?

AI SAST (static application security testing that uses AI) applies a language model to analyse source code for vulnerabilities, often combined with a parser or rule engine. Instead of only matching patterns, it can follow a request from route to handler to database call and ask whether the right checks happen on the way. The best tools pair the model with deterministic analysis, so findings are explainable and repeatable, and verify their own results to keep false positives down.

Best AI SAST tools at a glance

The 7 best AI SAST tools in 2026

1. ZeroPath

Combines LLM and AST analysis to target business-logic and broken-authentication bugs, with SCA reachability, secrets, IaC, container scanning, DAST and PR reviews, and can re-triage findings from other scanners. Supports GitHub, GitLab, Bitbucket, Azure DevOps and Gerrit. Best for AppSec teams with mixed Git hosts. Falls short: no free tier; entry pricing suits larger teams.

2. Corgea

AI-native SAST aimed at business-logic and authentication flaws, plus SCA with reachability, secrets, containers, IaC and an AI pentest beta, with fixes delivered as PRs, in the IDE or as patches and a blocking merge gate. Best for smaller teams wanting AI SAST with a free start. Falls short: priced per developer.

3. DryRun Security

Contextual security analysis on every pull request, with analyzers for IDOR, SSRF, SQL injection, XSS, secrets and mass assignment, a full-repo DeepScan and natural-language code policies. Best for teams that want security comments in the PR. Falls short: no published pricing or free tier.

4. Gecko Security

Reads code, infrastructure and design docs to find logic flaws and multi-step attack chains, giving each finding a source-to-sink call chain and a working proof of concept, then fixes the vulnerability class in one PR. Best for product teams worried about logic bugs. Falls short: the free trial is 10 scans in total.

5. Nullify

Positions itself as an AI security workforce: AI SAST across 16 languages including business-logic flaws, secrets with liveness checks, SCA, container and IaC, with fix PRs. Best for mid-sized companies that want AppSec outcomes without hiring. Falls short: sales-led, with a proof of concept instead of a free tier.

6. Semgrep

The rule-based standard, now with AI-assisted triage and remediation. Best for teams that want deterministic rules they can write and audit, with AI to cut noise. Falls short: its core strength is patterns, so logic flaws depend on rules you write. See Semgrep alternatives.

7. ARGUS by Nexus Void

ARGUS is an application security platform that scans your repos and fixes what it finds, built for teams without a dedicated security engineer. It runs static analysis and adds AI review on top, alongside dependency, secret, IaC and container scanning. Stands out: the Atlas view maps every API entrypoint to its handler and the sensitive data behind it, showing which entrypoints require authentication, across all your repos; Attack Paths ranks exploit chains from entrypoint to data with MITRE ATT&CK mapping; the fix agent verifies the smallest change with a build and re-scan before opening a pull request; a required check can hold a PR until it's reviewed; unlimited seats. Falls short: works with GitHub today; dependency reachability covers JavaScript, TypeScript and Python only. Pricing: Free, Pro $49 a month, Team $199 a month. See a sample ARGUS review.

How do you evaluate an AI SAST tool?

Marketing benchmarks rarely match your code. Run your shortlist on your own repositories and check:

• Recall on logic flaws. Plant a known missing-authorization bug on a branch and see who finds it. The OWASP Benchmark is useful for classic flaws but doesn't cover business logic.

• False positives. Count how many findings you'd actually fix.

• Explainability. Each finding should show the path from input to sink, not just a verdict.

• Fix quality. Does the suggested fix compile, pass tests and match your code style?

• Workflow and price. PR comments, a blocking check, your Git host, and how cost scales with your team.

Frequently asked questions

Is AI SAST better than traditional SAST?

They're good at different things. Rule-based SAST is fast and predictable on known patterns. AI SAST is better at logic and authorization flaws that need context. The strongest tools combine both.

Does AI SAST have more false positives?

It can, if the model's output isn't verified. Good tools reduce noise by pairing the model with deterministic analysis, proving reachability or exploitability, and showing evidence for each finding.

What is the best AI SAST tool for startups?

Startups usually want a free tier, fast setup and fixes they can merge. ARGUS and Corgea both offer free plans; Gecko has a free trial.

Can AI SAST find business-logic vulnerabilities?

That's the main reason to use it. Tools such as ZeroPath, Corgea, Gecko and ARGUS specifically target flaws like missing ownership checks and broken access control.

Our read

AI SAST is the first real answer to the bugs rule engines can't see, but it's also the easiest category to over-promise in. Judge every tool, including ours, on your own code with a bug you planted. Run ARGUS free on one repository and see what it finds.

Related reading: Best AI code security tools in 2026 · SAST for teams without a security engineer · Fixing security bugs in AI-generated code