ScanMyApp vs. Safeguard

ScanMyApp is a web-based security auditing platform specifically crafted for entrepreneurs and developers engaged in building applications using frameworks such as Next.js, Laravel, Python, Supabase, and Firebase. It features a free passive scan that assesses a public app URL for possible vulnerabilities like exposed files, secrets, issues with HTTPS certificates, and missing security headers. For a fee, it offers comprehensive code audits that analyze source repositories for risks such as exposed credentials, outdated libraries, insufficient database access controls, and API endpoints that lack proper authentication or authorization practices. The findings yield a security score, a severity rating, clear explanations, direct file and line references, along with actionable suggestions for remediation. Users can connect a repository with read-only access from GitHub or upload a ZIP file containing their project code. Crucially, the code remains unexecuted during the evaluation process and is swiftly deleted afterward to ensure privacy. Furthermore, plans that include human assessments provide insights and recommendations that have been verified by engineers, while thorough audits involve a senior security engineer alongside a video presentation to elucidate the results. ScanMyApp is designed to cater to the requirements of startup founders, small enterprises, and developers who are examining both AI-generated and conventional web applications, thereby guaranteeing a meticulous review of their security frameworks. This innovative service equips users with the tools to significantly improve their app security as they navigate the intricacies of web development, fostering a more secure digital environment overall.

Safeguard is an AI-powered application and software supply chain security platform designed to move security teams from vulnerability detection to automated remediation. The platform continuously inventories repositories, containers, software packages, dependencies, and other assets to create a live view of an organization's software environment. Griffin AI combines SBOM data, abstract syntax trees, call graphs, reachability analysis, exploit information, and business impact data to identify which vulnerabilities represent meaningful risk. Instead of generating a ticket for every finding, Safeguard can suppress unreachable issues and focus remediation efforts on vulnerabilities that can actually affect production systems. For actionable problems, its agents can author code changes or dependency upgrades, run automated testing, verify compatibility, and submit or merge pull requests under organization-defined policies. Safeguard also uses its Eagle adversarial model to search for zero-day vulnerabilities and test the validity of findings and proposed patches. Compliance capabilities automatically connect security activity and evidence to hundreds of frameworks while supporting SBOM formats such as CycloneDX and SPDX and recording SLSA provenance. The broader platform includes runtime defenses for AI systems, secure coding assistance, hardened zero-CVE packages and container images, Trust Centers, third-party risk management, and continuous security monitoring. Developers can work with Safeguard through IDEs, CLIs, source-control systems, CI/CD pipelines, cloud integrations, and more than 25 tenant-scoped MCP tools available to AI agents. Every automated action is designed to be logged, attributable, auditable, and governed by the same policies used throughout the platform.