CloudGuard supports modern cloud security programs with agentless detection, AI attack-path driven prioritization, and closed-loop remediation tracking. Below are common, clearly differentiated scenarios where teams adopt CloudGuard.
Fix what can be exploited right now
Identify and remediate the most dangerous cloud exposure paths across infrastructure, identities, and configurations by focusing on real-world exploitability.
Reduce risk before audits and red-team exercises
Systematically eliminate high-impact attack paths ahead of internal reviews, external audits, compliance checks, or offensive security exercises.
Understand your security posture end to end
Establish a clear baseline of cloud security posture by continuously assessing configurations, identities, and data exposure against best-practice benchmarks.
Disrupt paths that enable destructive impact
Identify and prioritize cloud exposure paths commonly leveraged by ransomware and destructive malware, using non-intrusive analysis suitable for production environments.
Understand risk introduced by vulnerable components
Assess exposure related to vulnerable libraries and dependencies used by cloud workloads, and prioritize remediation based on reachability and potential impact.
Answer “are we affected?” immediately
Quickly determine whether newly disclosed vulnerabilities, suspicious identities, or configuration changes create exploitable attack paths in your cloud environment.
Share a short description of your cloud environment (AWS, Azure, GCP), your primary objective, and timeline. We will suggest a practical evaluation or deployment approach.