Glog.AI leverages security requirements, architecture reviews, and threat modeling in several key ways to enhance software code security: 1. Security Requirements as the Foundation: 2. Architecture Review for Holistic Understanding: 3. Threat Modeling for Proactive Vulnerability Discovery: In essence, Glog.AI acts as an intelligent layer that leverages the insights from security requirements, architecture reviews, and […]
Glog.AI and SonarQube are both tools that aim to improve software security by identifying vulnerabilities in code. However, they approach the remediation of these vulnerabilities with some key differences. SonarQube: Glog.AI: Comparison Summary: Feature Glog.AI SonarQube Primary Focus Precise, context-aware remediation of security vulnerabilities Code quality and security analysis Remediation Advice Highly specific, step-by-step, context-driven, […]
We are often asked about the GitHub CodeQL and Glog.AI relationship and comparison. Here it is. Glog.AI and CodeQL complement each other. They address different stages and aspects of software security: CodeQL excels at identifying vulnerabilities through powerful semantic analysis and making these findings visible within the GitHub workflow. It requires developers to understand and […]
Glog.AI distinguishes itself in the realm of automatic remediation of security vulnerabilities by focusing on providing precise, context-aware remediation advice and automated fixes powered by machine learning and AI. Key Differentiators of Glog.AI:
Glog.AI’s Application Security Management (GASM) product solution significantly enhances Application Security Posture Management (ASPM) in several key ways. Understanding ASPM First, let’s clarify what Application Security Posture Management (ASPM) is. ASPM is a holistic approach to managing and improving the security of an organization’s applications throughout their entire lifecycle (from development to deployment and beyond). […]
In the high-stakes game of software security, identifying vulnerabilities is only half the battle. The real challenge lies in efficiently and effectively fixing them. This is where Glog.AI’s “secret sauce” truly shines – providing not just alerts, but precise remediation advice that empowers both software development and cybersecurity teams to eliminate threats with unprecedented clarity […]
The founder and CEO of Glog.AI, Dragan Pleskonjic, has been invited to speak at an interview for the Cybersecurity Summit on AI, Cybersecurity, and the Age of Autonomous Agents. Dive into the insightful discussion with Dragan in two parts: Dragan Pleskonjić on AI, Cybersecurity, and the Age of Autonomous Agents – interview with Cybersecurity Summit […]
To leverage the Glog.AI solution for enhancing software security at your high-technology company, consider the following key aspects and functionalities: 1. Integrate Glog.AI into Your Software Development Lifecycle (SDLC): Early Integration: Incorporate Glog.AI from the initial stages of development (DevSecOps approach) to identify and address security vulnerabilities proactively. CI/CD Pipeline Integration: Integrate Glog.AI into your […]
We asked Google Gemini: “Why would you recommend using Glog.AI products to software companies that develop their own products and those that outsource development to others?” Here is answer (without any interventions): ***** Glog.AI offers a compelling suite of benefits for software companies, regardless of whether they develop products in-house or outsource their development. Its […]
Glog.AI is available on GitHub as a GitHub action. GitHub Actions is a feature of GitHub that allows you to automate, customize, and execute your software development workflows in your repository. GitHub Actions are used to perform tasks such as building, testing, and deploying your code, as well as creating workflows for other purposes, such […]
