Best IT Security Software for Tabnine

Find and compare the best IT Security software for Tabnine in 2026

Use the comparison tool below to compare the top IT Security software for Tabnine on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    GitLab Reviews
    Top Pick

    GitLab

    GitLab

    $29 per user per month
    14 Ratings
    GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.
  • 2
    Sublime Reviews

    Sublime

    Sublime Security

    Sublime transforms the conventional black box email gateways by integrating detection-as-code with community-driven efforts to enhance security. Its binary explosion feature methodically inspects files sent as attachments or those automatically downloaded through links, identifying threats like HTML smuggling, dubious macros, and various malicious payloads. Additionally, Natural Language Understanding assesses the tone and intent of messages while utilizing the sender’s previous interactions to uncover attacks that do not rely on payloads. The Link Analysis tool employs a headless browser to render web pages and utilizes Computer Vision to scrutinize content for counterfeit brand logos, login pages, captchas, and other potentially harmful elements. Moreover, the sender analysis employs organizational context to uncover impersonation attempts targeting high-value users, thereby adding an extra layer of protection. Furthermore, Optical-Character-Recognition (OCR) efficiently extracts important entities from attachments, such as callback phone numbers, which can be crucial in identifying phishing attempts.
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