Cyber AI Code Reviewer
Automated security code review that integrates directly into your GitHub workflow. Detect vulnerabilities at the pull request level before they reach production.
How It Works
From pull request to actionable security feedback in seconds.
PR Opened
A developer opens or updates a pull request on GitHub. A webhook event is sent to the Cyber AI Code Reviewer service automatically.
AI Analysis
The diff is parsed and sent to a security-tuned large language model that understands code context, data flow, and common vulnerability patterns.
Security Scan
Findings are cross-referenced against OWASP Top 10, CWE entries, and NIST SSDF controls to produce severity-rated, standards-mapped results.
Inline Comments
Actionable review comments are posted directly on the pull request with remediation guidance, code suggestions, and references to relevant standards.
What It Detects
Comprehensive vulnerability detection covering the most critical application security risks.
SQL Injection
Detects unsanitized user input flowing into SQL queries, including ORM misuse and raw query construction.
Cross-Site Scripting (XSS)
Identifies reflected, stored, and DOM-based XSS vectors including unsafe innerHTML usage and template injection.
Hardcoded Secrets
Finds API keys, tokens, passwords, and private keys committed directly into source code or configuration files.
Broken Authentication
Detects weak session handling, missing authentication checks, insecure password storage, and flawed token validation logic.
Server-Side Request Forgery (SSRF)
Identifies endpoints where user-controlled URLs are fetched server-side without proper validation or allow-listing.
Insecure Deserialization
Flags unsafe deserialization of untrusted data that could lead to remote code execution or object injection attacks.
Standards & Compliance
Every finding is mapped to industry-recognized frameworks so your team speaks a common security language.
OWASP Top 10
Every finding is mapped to the relevant OWASP Top 10 category for industry-standard risk classification.
NIST SSDF
Remediation guidance references NIST Secure Software Development Framework practices and tasks.
CWE
Vulnerabilities are tagged with Common Weakness Enumeration identifiers for precise categorization.
MITRE ATT&CK
Findings include ATT&CK technique mappings so teams understand real-world exploitation context.