Alternatives
CodeQL alternatives
If you are evaluating CodeQL, it helps to see the wider field.
CodeQL is GitHub's semantic code analysis engine: it models code as a database and runs dataflow queries, and that is what GitHub code scanning runs on, per GitHub's docs.
The tools below cover code security in different ways: rule-based scanning, other semantic analysis, platform breadth, pull-request review, and the supply chain. Each links to a deeper comparison.
Aevral is listed last on purpose, and it is not a like-for-like alternative.
Not memory corruption, not dependency scanning, not a general SAST, and not a full secret scanner (PR review flags only the keys and tokens a pull request adds, value masked): Aevral adds a wider class list to your pull requests through its PR review (access control, business logic, injection, XSS, SSRF, path traversal, and LLM-integration security) and an access-control and business-logic reading of your repository, alongside whichever tool you choose, live on install.
The field
- Claude SecurityAevral and Claude Security, in depth
Claude Security is Anthropic's code scanning product. It scans a codebase, validates findings, and suggests patches for human review.
- SemgrepAevral and Semgrep, in depth
Semgrep is a static analysis engine. It scans code against security and correctness rules, including custom rules teams write themselves, and runs in the editor, CLI, and CI.
- Snyk CodeAevral and Snyk Code, in depth
Snyk Code is a SAST tool. It scans first-party code for security vulnerabilities and suggests fixes, alongside Snyk's dependency and container scanning.
- AikidoAevral and Aikido, in depth
Aikido is a developer security platform: SAST, dependencies, secrets, IaC, and pentest. It also publishes Code Security Audit and Deep Review, agentic reading of source for authorization, IDOR, and business logic.
Aevral's whole-repo scan is built for that reading; its PR review, live on install, looks for that and a wider class list on the diff. Keep the platform.
- GitHub Copilot code reviewAevral and Copilot, in depth
GitHub Copilot code review is GitHub's built-in AI reviewer. It reviews pull requests for bugs, code-quality issues, and security issues, and suggests fixes directly in the pull request.
- Cursor BugbotAevral and Bugbot, in depth
Cursor Bugbot is an AI code reviewer. It reviews each pull request and flags likely bugs, code-quality problems, and security issues before they merge.
- CodeRabbitAevral and CodeRabbit, in depth
CodeRabbit is an AI code review tool. It reviews pull requests automatically, posts findings and suggested fixes on the change, and also reviews uncommitted work in the IDE and from the CLI.
Its CodeRabbit Security product adds agentic code security monitoring: scheduled repository scans, security scans of each pull request, and verification of findings with reviewable fix pull requests, per CodeRabbit's site.
- GreptileAevral and Greptile, in depth
Greptile is an AI code reviewer. It indexes the codebase as a graph, then reviews pull requests with agents that read the change with full codebase context and learn team standards from review comments, per Greptile's site.
It also offers TREX, a beta agent that writes and runs tests for a pull request in a sandbox.
- SonarQubeAevral and SonarQube, in depth
SonarQube is a code quality and security platform. It runs static analysis on branches and pull requests, enforces quality gates, assures AI-generated code with AI Code Assurance, and suggests fixes with AI CodeFix, per Sonar's site.
Its SonarQube Hunter Agent, available on SonarQube Cloud Enterprise and announced for SonarQube Server in 2026-08, is what Sonar calls an AI security agent that hunts logic flaws.
- SocketAevral and Socket, in depth
Socket is a supply-chain security tool for package dependencies. It analyzes packages and dependency changes for supply-chain risk, like install scripts, obfuscation, and privileged API use, across the dependency tree.
- Codex SecurityAevral and Codex Security, in depth
Codex Security is OpenAI's application security agent. It finds, confirms, and fixes vulnerabilities through repository scans, Security Review on pull requests, and proposed patches.
- ZeroPathAevral and ZeroPath, in depth
ZeroPath is an AI-native application security platform.
Its published stack spans SAST with business-logic and broken-authentication detection, SCA with reachability analysis, secrets, IaC, and dynamic testing, with pull-request reviews, one-click autofix, runtime validation for exploitable findings, and scheduled or CI/CD scans, per ZeroPath's pricing page.
Its Team plan starts at USD 1,000 per month plus USD 60 per developer with unlimited repositories; Enterprise adds on-prem, self-hosted, and private-cloud deployment with BYOK.
- AISLEAevral and AISLE, in depth
AISLE is an AI-native vulnerability management platform.
Its Snapshot gives what AISLE describes as a clear picture of your code with verified findings prioritized by business impact, deployed in public cloud, private cloud, on-prem, or fully air-gapped, with model choices described per deployment (their Snapshot page: managed cloud with frontier models; air-gapped on AISLE's models).
Its Enterprise platform analyzes with thousands of agents, generates patches with fix agents, and verifies each fix with CI and sandboxed tests, per AISLE's site. Pricing is by quote.
- TachyonAevral and Tachyon, in depth
Tachyon is an AI code security reviewer.
It reviews pull requests against a map of the full repository, validates that a finding is exploitable before reporting it (sandbox execution where possible), and attaches a fix to each finding, per Tachyon's site.
It connects GitHub, GitLab, or Bitbucket, and posts findings as PR comments and Jira or Linear tickets.
- Gecko SecurityAevral and Gecko, in depth
Gecko Security analyzes code, logic, and infrastructure to find exploitable vulnerabilities and give developers fixes, per Gecko's site.
It builds a compiler-accurate graph of the codebase, scales threat modelling, takes natural-language security rules, and scans across multiple repositories and microservices for issues that surface between trust boundaries, with CI/CD scanning and a pull-request review bot with one-click autofix.
Pricing starts free with 10 scans; Pro is USD 100 per month; Enterprise adds unlimited scanning with on-prem, self-hosted, and private-cloud options.
- NullifyAevral and Nullify, in depth
Nullify is an autonomous product-security system.
Its published loop drives product-security work from detection through exploit validation, triage, and merge-ready remediation PRs (with self-healing follow-up commits) to closure, alongside secrets detection, an AI pentest agent, exploit validation, and cloud security, per Nullify's site.
It is priced on work performed; merge approval stays with your team.
- KodusAevral and Kodus, in depth
Kodus is an open source AI code review platform (AGPL core) that reviews pull requests on GitHub, GitLab, Bitbucket, Azure DevOps, and Forgejo or Gitea, self-hosted or cloud.
Its review agent maps callers, callees, and tests across linked repositories, turns team rules written in plain language into enforced checks, and checks a pull request against acceptance criteria pulled from a linked Jira, Linear, or Notion ticket, per Kodus's site.
- HacktronAevral and Hacktron, in depth
Hacktron is an AI-native security platform for code review and penetration testing.
It reviews pull requests against indexed repositories and call graphs instead of the diff alone, and names broken access control, business logic flaws, injection, SSRF, and other classes among what it looks for, per Hacktron's documentation.
Aevral
Not a like-for-like alternative. Not memory corruption, not injection, not a general SAST: Aevral adds the authorization, IDOR, and business-logic reading of your repository alongside whichever tool you choose, and its PR review rides the same App, live on install. The owner can turn reviews off. Aevral is live for self-serve whole-repo scans.