Qualys Cloud Detection and Response (CDR) significantly improves cloud security by providing agentless, accurate and actionable discovery Powered by artificial intelligence and deep learning algorithms, Qualys CDR enables you to manage your multi-cloud environment with continuous visibility, security, and compliance. Qualys CDR is an integral part of Qualys TotalCloud solution, allowing organizations to start and stay secure in their cloud environments.
Detect Active Exploitation
Inspect cloud network traffic for suspicious communications & activity
Threats from Build Time to Run Time
Detect attacks at various points along the cloud kill chain and zero-day threats
Detect known and unknown threats
Identify those assets that are being actively probed and protect them
Real-Time Defense of Multi-Cloud Environments
Qualys CDR provides Continuous real-time protection of the multi-cloud environment against active exploitation, malware, and unknown threats.
Detect Active Exploitation and Mitigate Runtime Risks
Qualys Cloud Detection Response inspects cloud network traffic for suspicious communications, unauthorized activity, crypto miners, malware, and C2 communications using deep-learning AI algorithms.
Detect Zero-day and Novel Threats
Threats are detected in near-real-time using deep-learning AI. Unlike legacy signature-based approaches, an AI-based approach can detect zero-day and new threats from a myriad of data points.
Detect Threats at All Points of the Kill Chain
By inspecting network traffic, Qualys CDR can detect attacks at various points along the cloud kill chain, thus providing additional protection against emerging cloud-based attacks.
No-friction Agentless Multi-cloud Deployment
Agentless multi-cloud deployment enables rapid time-to-value across multiple clouds.
Better Improved Risk Prioritization Based on Runtime Data
Qualys CDR improves your security, identifies assets that are being actively probed, and automatically takes the necessary action.
Detect Ransomware Attacks
Qualys CDR uses AI technology with deep learning algorithms to detect ransomware attacks in real-time. It analyzes network traffic to identify any patterns and behaviors associated with ransomware activity. It can detect known and unknown ransomware variants and notify them before they can cause damage to the system.