Cortex is an AI application security analyst that scans your GitHub repository for security vulnerabilities, architecture issues, and code quality problems. It uses a 7-agent AI pipeline inspired by neuroscience to analyze your entire codebase in 2–5 minutes and generates a detailed security report with fix suggestions.

Is AI-generated code secure?

Studies show that 40–45% of AI-generated code contains at least one security vulnerability. AI coding tools like Cursor, GitHub Copilot, and ChatGPT generate code that often includes SQL injection, hardcoded API keys, insecure authentication, and XSS vulnerabilities. Cortex was built specifically to detect and fix these AI-generated code patterns.

How does Cortex scan my code?

Paste your GitHub repository URL into Cortex. Seven specialized AI agents run in sequence: (1) Git Connect clones the repo, (2) Reconnaissance maps the codebase, (3) Security Scanner finds vulnerabilities, (4) Architecture Analyzer reviews design patterns, (5) Code Quality Agent checks best practices, (6) Technical Debt Agent finds maintenance issues, (7) AI-Specific Agent detects AI-generated code patterns. The Orchestrator synthesizes all findings into a single scored report.

What security vulnerabilities does Cortex detect?

Cortex detects SQL injection, XSS (Cross-Site Scripting), CSRF, SSRF, hardcoded API keys and secrets, insecure authentication, weak encryption, path traversal, command injection, and more. All findings are mapped to OWASP Top 10 and CWE standards with exact file locations and fix suggestions.

How much does Cortex cost?

Cortex offers a free tier with 5 security scans per month. Paid plans start at $9/month (Starter, 25 scans) and $49/month (Team, 100 scans). Enterprise pricing is available for unlimited scans with custom integrations.

Does Cortex store my source code?

No. Cortex temporarily clones your repository to perform the security analysis, but does not permanently store your source code. Only the security report and findings are saved to your account. Your code is never used to train AI models.

How is Cortex different from Snyk or Checkmarx?

Snyk and Checkmarx are enterprise tools costing $500–$2,000/month, built for large security teams. Cortex is built for indie developers, startups, and teams shipping AI-generated code. Key differences: Cortex uses a 7-agent AI pipeline (not single-model scanning), includes an AI chat advisor that understands your codebase, detects AI-generated code patterns specifically, and starts free at $9/month.

What programming languages does Cortex support?

Cortex supports JavaScript, TypeScript, Python, Go, Java, Ruby, PHP, and more. It analyzes any GitHub repository regardless of language, detecting security vulnerabilities and code quality issues across the entire codebase.

Built for Modern Engineers

Your AI coded it,
we audit it.

Cortex integrates seamlessly into your development workflow to check AI-generated code for security flaws, architectural inconsistencies, and code quality before it ever reaches production.

cortex-cli --scan

$ npm install -g @cortex-attack/cli && cortex scan

Initializing Cortex local security analyzer engine...

Cloned codebase repository successfully.

Mapping architecture modules... (42 files identified)

⚠️ 1 High Severity issue found in app/api/auth/route.ts:L34

→ SQL Injection vulnerability detected in raw queries.

💡 Fix Prompt Available: "Secure the DB call using parameterized query..."

Analysis completed in 2.8 seconds. Report uploaded to Cortex dashboard.

GitHub Autopilots

Connect your repository with a single click. We scan commits and pull requests automatically, keeping your master branch secure.

Security Guardrails

Instant OWASP Top 10 scanner to flag SQL injection, path traversal, CSRF/SSRF, and hardcoded API keys before you hit deploy.

Secret Detection

Cortex checks your codebase for exposed Stripe keys, AWS credentials, database passwords, and private certificates.

Designed for DevSecOps workflows

Cortex isn't just another scanning tool. It compiles audits with rich visual outputs, lets you chat with your codebase security findings directly, and outputs ready-to-paste markdown prompts so your AI assistant (Cursor, Copilot, or ChatGPT) can resolve issues in real time.

7-Agent pipeline for deep logic analysis

Actionable prompts ready for Cursor / Claude

Detailed PDF audits & shareable links

Interactive CLI for local pre-commit checks

Support for 12+ programming languages

Zero data retention of raw source files

Start auditing your code today

Scan up to 5 repositories per month absolutely free. No configuration required.