Compare the Top Shadow AI Detection Tools that integrate with GitLab as of July 2026

This a list of Shadow AI Detection tools that integrate with GitLab. Use the filters on the left to add additional filters for products that have integrations with GitLab. View the products that work with GitLab in the table below.

What are Shadow AI Detection Tools for GitLab?

Shadow AI detection tools help organizations identify and manage unauthorized or “shadow” AI usage that occurs outside of approved systems and governance controls. They scan network traffic, app logs, and user behavior to detect when employees are accessing or interacting with AI services that aren’t sanctioned by IT or compliance teams. The software often includes alerts, dashboards, and risk scoring to highlight unapproved AI tools, usage patterns, and potential data exposure. Many solutions integrate with identity management, security monitoring, and policy enforcement systems to block or remediate risky AI activity. By uncovering hidden AI usage and enforcing governance, shadow AI detection tools help protect data integrity, reduce compliance risk, and maintain control over enterprise AI adoption. Compare and read user reviews of the best Shadow AI Detection tools for GitLab currently available using the table below. This list is updated regularly.

  • 1
    Akto

    Akto

    Akto

    Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.
  • 2
    Noma

    Noma

    Noma Security

    Noma Security is the complete enterprise AI security platform designed to deliver confidence in agentic AI at scale. Noma Security was named a Gartner Cool Vendors in AI Security, 2025 for delivering deep visibility and AI discovery, agentic risk mapping, security posture management, automated AI red teaming, and AI runtime protection all in one platform. With seamless integration to your AI stack and workflows, and alignment with regulatory compliance frameworks, Noma Security helps teams embrace AI innovation while addressing the unique threats posed by rapid enterprise AI adoption.
  • 3
    Nightfall

    Nightfall

    Nightfall AI

    Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API.
  • 4
    Valence

    Valence

    Valence Security

    Valence finds and fixes SaaS risks. The Valence platform discovers, protects, and defends SaaS applications by monitoring shadow IT, misconfigurations, and identity activities through unparalleled SaaS discovery, SSPM, and ITDR capabilities. Recent high-profile breaches highlight how decentralized SaaS adoption creates significant security challenges. With Valence, security teams can control SaaS sprawl, protect their data, and detect suspicious activities from human and non-human identities. Valence goes beyond visibility by enabling security teams to remediate risks through one-click remediation, automated workflows, and business user collaboration. Trusted by leading organizations, Valence ensures secure SaaS adoption while mitigating today’s most critical SaaS security risks.
  • 5
    Aurascape

    Aurascape

    Aurascape

    ​Aurascape is an AI-native security platform designed to help businesses innovate securely in the age of AI. It provides comprehensive visibility into AI application interactions, safeguarding against data loss and AI-driven threats. Key features include monitoring AI activities across numerous applications, protecting sensitive data to ensure compliance, defending against zero-day threats, facilitating secure deployment of AI copilots, enforcing coding assistant guardrails, and automating AI security workflows. Aurascape's mission is to enable organizations to adopt AI technologies confidently while maintaining robust security measures. AI applications interact in fundamentally new ways. Communications are dynamic, real-time, and autonomous. Prevent new threats, protect data with unprecedented precision, and keep teams productive. Monitor unsanctioned app usage, risky authentication, and unsafe data sharing.
  • 6
    FireTail

    FireTail

    FireTail

    FireTail is an end-to-end AI security and governance platform designed to give organizations complete visibility, control, and protection over how artificial intelligence is used across their environments. It continuously discovers AI usage across code, cloud infrastructure, APIs, SaaS tools, and browsers, building a real-time inventory of both approved and shadow AI systems to ensure nothing operates outside governance. It captures and analyzes every AI interaction, including prompts, responses, metadata, and user identity, providing deep contextual visibility into how AI models are accessed and how data flows through them. FireTail enables organizations to enforce flexible, context-aware policies through a centralized governance engine, using prebuilt frameworks such as OWASP or custom rules to maintain compliance without slowing innovation. It continuously monitors activity to detect risks like prompt injection, data leakage, model misuse, and anomalous behavior.
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