GitHub App
Review pull requests where work already happens.
Install Vega on selected repositories, scope the analysis policy, and receive findings tied to commits and pull requests.
Product · AI security research
Vega finds the bugs that matter.
An AI security pipeline for codebases where security work needs to be reproducible, evidence-backed, and trust-worthy.
- Linux
- Chrome
- WordPress
- CPython
- QuickJS-NG
Validated performance
Vega finds vulnerabilities faster than humans ever could.
- validated findings
- 727
- Linux kernel bugs
- 709
- Chrome zero-days
- 8
- public CVEs
- 32
vegaLIVE
Work with Vega
Vega brings security into the flow of coding.
CLI
Run targeted hunts from a terminal.
Use the command line for local snapshots, subsystem scans, CI jobs, and reproducible report generation.
MCP tool
Bring Vega into your coding agent workflow.
Expose Vega through MCP so Codex, Claude Code, and Cursor can pull findings, traces, and remediation context directly into the session.
Workflow
Vega makes the path from bug discovery to patch seamless.
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Step 01
Connect
Point Vega at a repository or project snapshot. Scope can be narrow for one subsystem or broad for continuous review.
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Step 02
Hunt
The agent explores code, reasons across call paths, and tests hypotheses against the project rather than keyword matching.
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Step 03
Report
Validated findings move into a structured report with severity, affected versions, and disclosure-ready evidence.
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Step 04
Patch
Vega carries the finding through remediation with patch-ready guidance so teams can move from report to fix without losing context.
FAQ
Short answers.
What projects can Vega work on?
Vega is a general-purpose code scanning tool designed for software at any scale, from operating systems with millions of lines of code to small open-source projects maintained by a single developer. Whatever your stack, Vega helps scan your code and surface bugs before attackers do.
How is Vega different from other code scanning tools?
Vega was built by security researchers with deep vulnerability research experience. We embedded that domain knowledge into the agentic workflow to make Vega faster, more precise, and more cost-effective. In the benchmarks of Chrome and the Linux kernel, Vega found more vulnerabilities than Anthropic Claude Code Security and OpenAI Codex Security.
Can I see public results?
Yes. The Buglist page tracks public and redacted findings across Linux kernel, Google Chrome, WordPress, CPython, and other projects.
Private beta
Bring researcher-grade bug finding into your codebase.
Join the Vega waitlist for private-beta access and product updates.