Best Cloud Detection and Response (CDR) Software for AlertOps
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Compare the Top Cloud Detection and Response (CDR) Software that integrates with AlertOps as of January 2025
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This a list of Cloud Detection and Response (CDR) software that integrates with AlertOps. Use the filters on the left to add additional filters for products that have integrations with AlertOps. View the products that work with AlertOps in the table below.
What is Cloud Detection and Response (CDR) Software for AlertOps?
Cloud detection and response software is a type of cybersecurity technology used to monitor the cloud environment for malicious activities. It uses automated processes to detect abnormal behavior, investigate suspected threats, and take action in real-time. The software can be tailored to an organization's specific security needs, allowing them to identify potential risks quickly and respond accordingly. With this type of solution in place, organizations can better protect their data against cyber attacks. Compare and read user reviews of the best Cloud Detection and Response (CDR) software for AlertOps currently available using the table below. This list is updated regularly.
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Aqua
Aqua Security
Full lifecycle security for container-based and serverless applications, from your CI/CD pipeline to runtime production environments. Aqua runs on-prem or in the cloud, at any scale. Prevent them before they happen, stop them when they happen. Aqua Security’s Team Nautilus focuses on uncovering new threats and attacks that target the cloud native stack. By researching emerging cloud threats, we aspire to create methods and tools that enable organizations to stop cloud native attacks. Aqua protects applications from development to production, across VMs, containers, and serverless workloads, up and down the stack. Release and update software at DevOps speed with security automation. Detect vulnerabilities and malware early and fix them fast, and allow only safe artifacts to progress through your CI/CD pipeline. Protect cloud native applications by minimizing their attack surface, detecting vulnerabilities, embedded secrets, and other security issues during the development cycle.
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