Cloud environments are dynamic, with resources being spun up and decommissioned in seconds. Attackers look for "low-hanging fruit" like publicly exposed storage buckets, unprotected APIs, and security group misconfigurations. Because the cloud operates on a shared responsibility model, a single oversight in configuration can expose an entire database to the public internet, bypassing traditional perimeter defenses.

Organizations often use multiple providers (e.g., AWS, Azure, and GCP), each with its own unique security controls, terminology, and API structures. Security tools that only look at one cloud in a silo create visibility gaps. To manage risk effectively, security teams need a unified view of the entire "cloud fabric" to identify attack paths that might start in a development environment on one cloud and move to production data on another.

Bad actors use automated scanners to find common mistakes, such as S3 buckets with global "read" permissions or exposed management ports (like SSH or RDP). Once they find a foothold, they often exploit over-privileged IAM roles attached to a compute instance to escalate their privileges, eventually gaining the ability to exfiltrate sensitive data or deploy ransomware across the cloud infrastructure.

XM Cyber empowers organizations to see their infrastructure exactly as an attacker does, continuously mapping potential paths from compromised endpoints to critical cloud workloads. We move beyond scoring findings and assuming toxic combinations by validating exploitability and highlighting where every attack path converges to distinguish between theoretical noise and actual danger.
The platform provides:
• Continuous Discovery: Maintain continuous visibility into cloud accounts and resources running across multicloud environments with agentless posture assessment and automatic mapping of controls to common industry standards and best practices.
• Context-driven Prioritization: Focus remediation efforts on exposures that put business-critical cloud resources and data at risk, highlighting choke points where multiple attack paths converge.
• Attack Graph Analysis and Validation: Automatically map every potential attack path within and across cloud and hybrid environments, testing whether exploitability conditions are met to eliminate false positives and shut down lateral movement.