Best Incident Response Software for Imperva WAF

Find and compare the best Incident Response software for Imperva WAF in 2025

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

  • 1
    LogRhythm SIEM Reviews
    Understanding the challenges you face, we integrate log management, machine learning, SOAR, UEBA, and NDR to provide comprehensive visibility across your systems, empowering you to swiftly identify threats and mitigate risks effectively. However, an advanced Security Operations Center (SOC) goes beyond merely thwarting threats. With LogRhythm, you can effortlessly establish a baseline for your security operations and monitor your progress, enabling you to showcase your achievements to your board seamlessly. Safeguarding your organization carries significant responsibility, which is why we designed our NextGen SIEM Platform specifically with your needs in mind. Featuring user-friendly, high-performance analytics alongside an efficient incident response process, securing your enterprise has become more manageable than ever before. Moreover, the LogRhythm XDR Stack equips your team with a cohesive suite of tools that fulfill the core objectives of your SOC—threat monitoring, hunting, investigation, and incident response—all while maintaining a low total cost of ownership, ensuring you can protect your organization without breaking the bank.
  • 2
    Rapid7 InsightIDR Reviews
    Thanks to the cloud-based architecture and user-friendly interface of InsightIDR, you can effortlessly consolidate and examine your data from various sources like logs, networks, and endpoints, yielding insights in hours instead of months. The platform incorporates User and Attacker Behavior Analytics, supplemented by information from our threat intelligence network, to ensure that all your data is monitored for early detection and response to potential attacks. In the year 2017, a staggering 80% of breaches related to hacking were attributed to the use of either stolen passwords or weak, easily guessable ones. This highlights that while users can be your most valuable asset, they can also pose significant risks. InsightIDR leverages machine learning technology to establish a baseline for user behavior, providing automatic alerts whenever there is suspicious activity, such as the utilization of stolen credentials or unusual lateral movement across the network. Additionally, this proactive approach allows organizations to strengthen their security posture by continuously adapting to emerging threats.
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