Attack path analysis is the process of mapping how an attacker could move from an entry point to a high-value target. In cloud security, that path may cross public exposure, IAM permissions, vulnerable workloads, Kubernetes roles, storage access, databases, service accounts, and network routes.
The goal is simple: help teams prioritize the risks that can actually lead to impact.
Why attack paths matter
Cloud environments contain many findings. Some are important, many are routine, and a few are dangerous because they connect to something critical. Attack path analysis helps security teams separate isolated issues from reachable risk.
For example, an exposed workload, a vulnerable package, and a broad IAM role may each look medium severity in isolation. Together, they may form a path from the internet to sensitive customer data.
What goes into an attack path?
A cloud attack path can include:
- Internet exposure through load balancers, public IPs, or security groups
- Vulnerabilities in workloads, containers, or libraries
- IAM permissions, role assumptions, and trust relationships
- Kubernetes RBAC, service accounts, and workload identity
- Secrets, access keys, and machine credentials
- Data stores, snapshots, buckets, and databases
- Network reachability between systems
The more complete the context, the more useful the path.
Attack path analysis vs vulnerability management
Vulnerability management asks, “Which CVEs do we have?” Attack path analysis asks, “Which weaknesses can be chained into meaningful impact?”
Both views matter. CVSS or EPSS can tell you about exploit likelihood or technical severity. Attack path analysis tells you whether the affected resource is reachable, privileged, connected to sensitive data, or part of a critical business system.
Attack path analysis vs threat modeling
Threat modeling is usually a design-time or architecture-time exercise. Attack path analysis is often continuous and environment-driven. It looks at what is deployed now and updates as cloud resources, identities, and networks change.
How Cloudanix helps
Cloudanix builds a cloud security graph that connects assets, identities, exposures, workloads, Kubernetes, vulnerabilities, data, and configuration state. Attack path analysis then uses that graph to show which findings can combine into risk.
Related pages include Attack Path, Vulnerability Prioritization, Internet-Exposed Assets, and Cloud Inventory.
Frequently asked questions
What is an attack path in cloud security?
An attack path is a possible sequence of steps an attacker could take across cloud resources, permissions, networks, workloads, and data to reach a valuable target.
Why is attack path analysis useful?
It helps teams prioritize findings that are reachable and impactful instead of treating every misconfiguration or vulnerability equally.
Does attack path analysis require agents?
Not necessarily. Many paths can be built from cloud APIs, configuration state, IAM relationships, network routes, and vulnerability data.
How often should attack paths be recalculated?
Continuously. Cloud environments change frequently, and a single permission, route, or deployment change can create or remove a path.
