Critical Exposure Reduction
Identify internet-facing exposure paths and over-privileged identities, then prioritize fixes by exploitability and blast radius.
Overview
CloudGuard is a unified cloud security detection and response platform built on Agentless CDR, Dynamic Risk Graph Modeling, and AI Attack-Path Prediction — available as SaaS or On-Premises.
Discover
- Continuously discover cloud assets across accounts, regions, and services
- Analyze configurations, vulnerabilities, and identity & access risks
- Surface exposure conditions such as public reachability, risky storage access, and weak policies
Assess
- AI attack-path prediction from an attacker’s perspective, built on the dynamic risk graph
- Quantify exploitability and potential blast radius beyond static CVSS scoring
- Prioritize remediation based on real exposure paths that are most likely to be exploited
Respond
- Generate prioritized remediation tasks with actionable guidance
- Track progress and ownership across teams and environments
- Verify outcomes over time to confirm risk reduction in dynamic multi-cloud environments
Featured Use Cases
Common scenarios where teams adopt CloudGuard to reduce high-impact cloud exposure quickly and maintain continuous governance.
Pre-Audit & Pre-Assessment Hardening
Reduce high-impact attack paths before audits, compliance assessments, or red-team exercises.
Baseline & Best-Practice Governance
Continuously validate posture against baseline security practices and policy guardrails in fast-changing cloud environments.
Rapid Exposure Assessment for New Vulnerabilities
Quickly assess whether newly disclosed vulnerabilities create exploitable paths in your specific cloud context.