Version updated for https://github.com/OculumDev/oculum-action to version 1.0.4. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action is an AI-based security scanner designed to detect common vulnerabilities in LLM-powered applications. It automatically detects prompt injection, hardcoded secrets, SQL injection, XSS, and more using both traditional SAST techniques and AI-driven validation. The action integrates seamlessly with GitHub to provide PR comments and inline annotations on code changes, making it easy for developers to identify and fix security issues early.

Version updated for https://github.com/OculumDev/oculum-action to version v1.0.4. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary The GitHub Action Oculum Security Scan is an AI-driven security tool designed to detect various vulnerabilities in LLM-powered applications. It combines both traditional static application security testing (SAST) and AI techniques to identify prompt injection, hardcoded secrets, SQL injection, XSS, and more. The action can be integrated into GitHub workflows to automatically scan code changes and provide real-time feedback through PR comments or inline annotations. It supports two scan depths: cheap for free pattern matching scans and validated for AI-assisted validation with a required API key.

Version updated for https://github.com/OculumDev/oculum-action to version 1.0.4. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary The Oculum Security Scan action is a GitHub Action that detects AI-era security vulnerabilities in LLM-powered applications. It combines both AI-assisted validation and traditional static application security testing (SAST) to find hardcoded secrets, SQL injection, XSS, and more. The action supports both the free tier for pattern-matching scans at no cost and validated scans using an API key for enhanced accuracy and lower false positives. It provides real-time feedback through PR comments and inline annotations on code diffs, making it easy to identify and address security issues early in the development cycle.

Version updated for https://github.com/OculumDev/oculum-action to version v1.0.4. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary This GitHub Action, Oculum Security Scan, is an AI-driven security scanner designed to detect various vulnerabilities in LLM-powered applications. It combines both AI and traditional static application security testing (SAST) methods to identify prompt injection, hardcoded secrets, SQL injection, XSS, and more. The action provides low false positives by using AI-assisted validation and integrates seamlessly with GitHub workflows to automatically scan pull requests and commits. Users can set different scan depths and fail thresholds based on their needs, and it offers options for customizing the directory and file patterns scanned.

Version updated for https://github.com/OculumDev/oculum-action to version 1.0.4. This action is used across all versions by 1 repositories. Action Type This is a Node action using Node version 20. Go to the GitHub Marketplace to find the latest changes. Action Summary The Oculum Security Scan GitHub Action is an AI-driven security scanner that detects prompt injection, RAG vulnerabilities, and other potential issues in LLM-powered applications. It automates the detection of hardcoded secrets, SQL injection, XSS, and command injection using both traditional SAST techniques and AI-assisted validation. The action supports various scan depths and provides options to filter scans based on criticality and categories. The tool integrates seamlessly with GitHub workflows for continuous security checks and can output detailed findings to PR comments or inline annotations.