Best AI Security Posture Management (AI-SPM) Software for GitLab

Find and compare the best AI Security Posture Management (AI-SPM) software for GitLab in 2025

Use the comparison tool below to compare the top AI Security Posture Management (AI-SPM) software for GitLab on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Legit Security Reviews
    Legit Security protects software supply chains from attack by automatically discovering and securing development pipelines for gaps and leaks, the SDLC infrastructure and systems within those pipelines, and the people and their security hygiene as they operate within it. Legit Security allows you to stay safe while releasing software fast. Automated detection of security problems, remediation of threats and assurance of compliance for every software release. Comprehensive, visual SDLC inventory that is constantly updated. Reveal vulnerable SDLC infrastructure and systems. Centralized visibility of the configuration, coverage, and location of your security tools and scanners. Insecure build actions can be caught before they can embed vulnerabilities downstream. Before being pushed into SDLC, centralized, early prevention for sensitive data leaks and secrets. Validate the safe use of plug-ins and images that could compromise release integrity. To improve security posture and encourage behavior, track security trends across product lines and teams. Legit Security Scores gives you a quick overview of your security posture. You can integrate your alert and ticketing tools, or use ours.
  • 2
    Noma Reviews
    Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.
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