Best Runtime Application Self-Protection (RASP) Software for Splunk Enterprise

Find and compare the best Runtime Application Self-Protection (RASP) software for Splunk Enterprise in 2026

Use the comparison tool below to compare the top Runtime Application Self-Protection (RASP) software for Splunk Enterprise on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Reflectiz Reviews

    Reflectiz

    Reflectiz

    $5000/year
    33 Ratings
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    Runtime application self-protection (RASP) tools are designed to safeguard application servers by identifying and thwarting attacks as they happen during code execution. Reflectiz takes this concept a step further by focusing on the client-side aspect of modern web applications that RASP typically overlooks: the code that runs in users' browsers. Elements like third-party scripts, tag managers, trackers, and iFrame content function independently of the server, allowing malicious code injected through a vendor's CDN to bypass the protections on the server-side application. Reflectiz continuously monitors the execution in real browsers, establishing a baseline for each script's normal behavior and providing immediate alerts whenever deviations occur. This capability helps identify situations where, for instance, a standard analytics tool begins to access sensitive checkout form fields or a tracking pixel sends data to unauthorized destinations. The implementation of Reflectiz requires no additional agents, code modifications, or impacts on performance. Instead of replacing server-side RASP solutions, Reflectiz works in tandem with them, making it an ideal addition for organizations with established security programs that utilize both technologies.
  • 2
    Jscrambler Reviews
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    Contemporary applications operate in settings that are vulnerable to scrutiny, manipulation, and automation by malicious actors. The rise of AI has further intensified these threats, enabling attackers and freely available AI-based tools to systematically examine, reverse engineer, and exploit vulnerabilities in application logic. Jscrambler addresses this challenge by implementing self-defensive measures for client-side applications, integrating robust code protection with proactive runtime defenses. This ensures that proprietary business logic, authentication processes, algorithms, and AI-generated code are fortified against AI-driven analysis. Runtime defenses actively monitor for and counteract tampering, debugging attempts, code corruption, and unauthorized alterations. Each software build features a unique protection mechanism, increasing the difficulty and cost associated with automated reverse engineering, thereby thwarting attackers from using exposed code as a guide. By embedding protection directly within the code, applications gain the capability to withstand and react to threats in real-time.
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