To visualize and analyze potential attack paths across your cloud infrastructure, use a cloud security graph and attack path analysis solution. These tools connect cloud assets, vulnerabilities, network exposure, identity permissions, and sensitive data into a visual map of how an attacker could move from an initial entry point to a critical resource.
Instead of treating every misconfiguration as an isolated problem, you can identify which combinations of weaknesses could lead to a serious breach and prioritize the fixes that break the most dangerous paths.
1. Choose an attack path visualization tool
Here are three strong starting points, depending on your cloud environment.
Maps exploitable paths across Azure, AWS, and Google Cloud, with entry points, vulnerable resources, critical targets, and shared choke points. Its Cloud Security Explorer also supports graph-based risk queries.
Visualizes potential paths from exposure findings through resource relationships, network connectivity, and privilege escalation to downstream resources. Useful for identifying an exposure's potential blast radius in AWS.
Provides attack exposure scores and attack path visualizations through its Risk Engine, helping identify risks to high-value cloud resources. Attack path availability depends on supported configurations and organization-level activation.
My recommendation: If your infrastructure spans multiple cloud providers, start with Microsoft Defender for Cloud's attack path analysis. If you're primarily on AWS or Google Cloud, evaluate the native security service for your platform first.
2. How to analyze an attack path
A useful attack path graph connects the following elements:
External entry point
Internet-exposed application or API
Vulnerable workload
Unpatched VM or insecure configuration
Excessive identity permissions
Attached role or service account can access other resources
Critical target
Sensitive database, secrets store, or customer data
Illustrative attack path, not a finding from a real cloud environment.
This is the type of chain that attack path analysis helps uncover: a public-facing weakness may become much more serious when combined with identity permissions that enable access to sensitive resources.
When investigating a graph, focus on five questions:
Entry point: Which resources are publicly reachable or exposed through external identities?
Exploitability: Is the vulnerability actually reachable and exploitable, or merely present?
Identity and privilege: Which roles, service accounts, keys, and trust relationships could enable further access?
Blast radius: What sensitive resources could be affected if an intermediate node were compromised?
Choke points: Which single configuration or permission change could break several attack paths simultaneously?
3. Prioritize vulnerabilities by real-world risk
Do not rely on vulnerability severity scores alone. Prioritize findings using their position in an attack path, the criticality of the target, and the likelihood that the weakness can be exploited.
Priority
Finding pattern
Recommended action
Critical
Internet-reachable weakness leads to a sensitive production database
Restrict exposure and break the path immediately
High
Overprivileged identity can reach several critical resources
Remove unnecessary permissions and tighten trust policies
High
Shared network or identity choke point affects multiple paths
Fix the common dependency to reduce multiple risks
Medium
Vulnerability on an isolated workload with limited privileges
Patch and verify isolation
Lower
Low-impact misconfiguration with no identified path to a critical target
Schedule remediation and continue monitoring
These are illustrative priorities, not universal severity ratings. Validate exploitability and business impact before assigning final remediation deadlines. Google Cloud, for example, recommends using attack exposure scores alongside a defined set of high-value resources to guide remediation.
4. A practical implementation workflow
Inventory your cloud assets. Include compute, containers, storage, databases, APIs, identities, network connections, and secrets. Mark critical workloads and sensitive data stores.
Enable attack path analysis. Configure the appropriate security posture management capabilities, asset discovery, and scanning. Verify that all relevant accounts, subscriptions, projects, and workloads are represented.
Generate and filter attack paths. Start with externally exposed entry points, critical targets, high-risk findings, and paths involving excessive privileges.
Investigate each node and connection. Confirm the specific vulnerability, permission, trust relationship, or network route responsible for each step.
Remediate the highest-impact weaknesses. Prefer fixes that break an entire path, such as restricting public access, patching a reachable workload, or removing unnecessary permissions.
Re-scan and track progress. Confirm the path is no longer viable, track remaining exposure, and repeat after significant infrastructure or identity changes.
Microsoft's official workflow includes inspecting attack path maps, reviewing node insights and remediation recommendations, and checking whether the identified path has been resolved.
5. Measure whether your security is improving
Track these metrics over time:
Number of attack paths reaching critical assets.
Number of externally reachable critical resources.
Number of shared choke points and high-impact identity permissions.
Mean time to remediate critical attack paths.
Percentage of identified paths verified as broken after remediation.
Coverage of cloud accounts, workloads, identities, and critical assets.
A falling count of high-impact paths is generally more meaningful than simply reducing the total number of vulnerability findings.
Let's narrow this down to your environment
Which cloud platform are you using? I can tailor the steps to the right console, graph views, and analysis queries.
Cloud environment
AWS
Microsoft Azure
Google Cloud
Multi-cloud (AWS, Azure, and/or GCP)
Primary objective
Visualize and prioritize attack paths
Find IAM and privilege escalation risks
Identify exploitable vulnerabilities and misconfigurations
To visualize and analyze potential attack paths across your cloud infrastructure, you need to map out how an attacker could move laterally, escalate privileges, and reach sensitive assets (like crown-jewel databases or storage buckets). Modern cloud security relies on Attack Path Analysis (APA) and Cloud Security Posture Management (CSPM) with graph-based visualization.
Here is how you can approach visualizing and analyzing these paths:
Attack Path Modeling Fundamentals: Understand that attack paths are graph structures where nodes represent cloud resources (identities, compute instances, data stores, networks) and edges represent permissions, network exposure, or misconfigurations.
Identity and Access Management (IAM) Analysis: Over-permissioned service accounts or overly permissive IAM roles are often the starting node. Analyze transitive permissions (e.g., User A can modify Role B, which can attach policies to access Data Store C).
Network Exposure Mapping: Evaluate security groups, VPC peering, public-facing load balancers, and internet gateways to see which resources are reachable from the outside world.
Commercial Cloud Native Tools: Utilize built-in graph visualization features from major cloud providers or enterprise security platforms to automatically map these vectors.
Open-Source and Community Tools: Leverage graph-based open-source projects designed specifically to ingest cloud configurations and expose attack chains visually.
Key Tools for Cloud Attack Path Visualization
AWS IAM Access Analyzer / Inspector: For AWS environments, use AWS IAM Access Analyzer to identify unintended public and cross-account access.
Microsoft Defender for Cloud: Offers built-in attack path analysis that automatically identifies exploitable security vulnerabilities and prioritizes remediation based on blast radius. Learn more via Microsoft Defender for Cloud Documentation.
Tenable Cloud Security (formerly Ermetic) or Wiz: Enterprise platforms specialized in agentless graph-based deep contextual analysis of multi-cloud environments (AWS, Azure, GCP). Check out Wiz Cloud Security for automated attack path visualization.
ScoutSuite: An open-source multi-cloud security-auditing tool that helps visualize configuration risks. Find the project repository on the ScoutSuite GitHub.
BloodHound / AzureHound: Originally built for Active Directory, BloodHound has extensions for Azure/Entra ID to map permission abuse and privilege escalation paths graphically. Explore the tool via BloodHound Enterprise.
If you'd like, let me know:
Which cloud provider(s) you are using (AWS, Azure, GCP, or multi-cloud)
Whether you prefer open-source tools or commercial enterprise solutions
I can give you a more tailored implementation strategy or specific steps to get started.
If you want to visualize and analyze attack paths across your cloud infrastructure, look for Cloud Security Posture Management (CSPM), Cloud-Native Application Protection Platform (CNAPP), and Cloud Infrastructure Entitlement Management (CIEM) solutions with attack-path analysis.
These tools go beyond listing misconfigurations. They map how an attacker could chain weaknesses — such as an exposed workload, excessive IAM permissions, a vulnerable server, and access to sensitive data — into a path toward a critical asset.
The most useful solutions help answer three questions:
How could an attacker get in? Trace paths from internet exposure, compromised identities, and vulnerable workloads.
What could they reach? Visualize lateral movement across cloud accounts, networks, identities, workloads, and data.
What should we fix first? Prioritize exploitable paths that lead to high-value assets rather than treating every security finding equally.
Leading solutions to evaluate
1. Wiz
(Strong general-purpose shortlist)
A cloud-native security platform built around a security graph that correlates identities, vulnerabilities, exposed services, misconfigurations, and sensitive data to visualize paths to critical assets. Supports multicloud environments and agentless discovery.
Best for: Organizations seeking accessible visualizations and prioritized risks across complex cloud estates.
Explore:
2. Microsoft Defender for Cloud
A particularly relevant choice for Azure-centric or Microsoft security environments, with multicloud attack-path analysis, graph-based exploration, and remediation recommendations. Its cloud security graph models network reachability, identities, permissions, vulnerabilities, and lateral movement.
Best for: Teams already using Microsoft security products or wanting to connect cloud risks with broader enterprise exposure.
Explore:
3. Palo Alto Networks Prisma Cloud
Correlates cloud misconfigurations, vulnerabilities, excessive permissions, public exposure, and other risks. Its evidence graph visualizes the relationships that create attack paths toward high-value assets.
Best for: Security teams wanting attack-path visualization alongside cloud posture management, policy enforcement, and remediation workflows.
Explore:
4. Orca Security
Visualizes chains of related risks that leave critical assets exposed, including lateral movement, role assumption, privilege escalation, and sensitive-data exposure. Its agentless approach can help teams discover risks without deploying agents throughout every workload.
Best for: Organizations prioritizing fast cloud-wide visibility and context-rich risk discovery.
Explore:
5. Fortinet FortiCNAPP
Uses Exposure Polygraphs to connect vulnerabilities, network reachability, secrets, and IAM roles into visualized exposure paths. It can combine configuration, workload, and runtime information to help prioritize risk.
Best for: Teams interested in connecting cloud exposure analysis with runtime activity and workload security.
Explore:
Comparison at a glance
Solution
Key strength
Particularly worth evaluating when
Wiz
Security graph and correlated cloud risks
You want broad, accessible multicloud visualization
Microsoft Defender for Cloud
Cloud and enterprise exposure context
You use Azure or the Microsoft security ecosystem
Prisma Cloud
Graph-based risk correlation and remediation
These are capability-based distinctions, not independent performance rankings. Actual cloud-service coverage, licensing, graph depth, and update frequency should be validated in a proof of concept.
What to test during a proof of concept
A compelling demo should show an end-to-end path such as:
Internet-exposed workload
Public endpoint + exploitable vulnerability
Identity compromise or privilege escalation
Overprivileged role or accessible credentials
Critical data asset
Sensitive storage, database, or production system
Ask each vendor to demonstrate that it can:
Visualize the full chain, including network connectivity, identity permissions, and the target asset.
Prioritize by business impact, exploitability, sensitive data, and asset criticality.
Identify choke points where fixing one issue breaks several attack paths.
Explain each relationship with evidence, not just a generic risk score.
Cover your actual environment across AWS, Azure, GCP, Kubernetes, SaaS, and hybrid infrastructure, as applicable.
Track remediation and show whether fixing an issue actually removes the relevant path.
One important caveat: a graph represents potential attack paths inferred from available telemetry and configuration; it does not automatically prove that every step is exploitable in practice. Validate how each product handles reachability, effective permissions, runtime evidence, and blind spots.
My recommendation
Start by evaluating Wiz, Microsoft Defender for Cloud, and Prisma Cloud against the same representative cloud environment. Add Orca Security and FortiCNAPP if their agentless or runtime-analysis approaches align with your requirements.
To narrow this to the best fit, which cloud environments do you need to cover — AWS, Azure, GCP, or a mix of all three?
Wiz (CNAPP): Offers deep, agentless multi-cloud visibility that natively correlates network exposure, vulnerabilities, and cloud identity risks into visual attack paths. Explore their approach on the Wiz Cloud Security Guide.
Microsoft Defender for Cloud: Features native attack path analysis using risk-prioritized algorithms to surface external exploit routes leading to critical multi-cloud assets. Read the implementation details via Microsoft Learn.
For advanced cloud threat path analysis, you’re looking for a Cloud Security Posture Management (CSPM) or Cloud-Native Application Protection Platform (CNAPP) solution with attack-path analysis capabilities.
The goal is to go beyond identifying individual misconfigurations and show how an attacker could chain together weaknesses — such as excessive permissions, an exposed workload, a vulnerable asset, and access to sensitive data — to reach a critical cloud resource.
The most useful capabilities to evaluate are:
Multi-step attack-path visualization: Map potential breach routes across cloud assets, identities, networks, workloads, and data.
Identity and privilege analysis: Identify privilege escalation, overly permissive roles, and cross-account access.
Hybrid and multicloud coverage: Correlate risks across AWS, Azure, Google Cloud, Kubernetes, and, where relevant, on-premises environments.
Risk-based prioritization: Rank paths based on exploitability, business impact, sensitive data exposure, and reachable critical assets.
Remediation guidance: Explain which configuration or permission change will break the most dangerous paths.
Continuous analysis: Recalculate paths as cloud configurations, identities, and workloads change.
Shortlist: platforms worth evaluating
These three are strong starting points for a technical evaluation, with different advantages depending on your cloud environment.
You need posture management and governance as well
Orca Security
Agentless discovery and risk prioritization
You want broad visibility with limited agent deployment
FortiCNAPP
Exposure Polygraphs and runtime context
You want to correlate exposure with workload activity
The primary solutions specialized in attack path visualization and critical risk prioritization include:
Wiz: Widely recognized for pioneering the "Security Graph" approach, Wiz uses agentless API connectors to map out multi-cloud environments (AWS, Azure, GCP) within minutes. It visually chains together "toxic combinations"—such as an internet-exposed virtual machine with a high-severity vulnerability and an over-privileged IAM role—showing precisely how an attacker could reach critical data assets.[](https://cloudaware.com/blog/cloud-security-assessment-tools/)
Orca Security: Utilizes an agentless "SideScanning" technology to read the block storage and configuration of cloud estates. Orca's attack path analysis automatically correlates vulnerabilities, lateral movement risks, and overly permissive identities into visual graphs mapped against MITRE ATT&CK categories, scoring business impact to highlight critical crown-jewel exposure.[](https://orca.security/resources/blog/cloud-attack-path-analysis/)
Sysdig: Focuses heavily on combining posture management with deep runtime insights (leveraging open-source Falco) [3.4]. Sysdig’s CNAPP pinpoints active, real-time threats alongside static configuration flaws, helping security teams visualize hidden attack paths during active execution or across the build-and-runtime lifecycle [3.4].
CrowdStrike (Falcon Cloud Security): Offers robust cloud attack path visualization capabilities that map out known and potential attacker tactics, techniques, and procedures (TTPs). It bridges traditional endpoint telemetry with native cloud context to trace potential lateral movement across hybrid environments.
SentinelOne (Singularity Cloud): Delivers agentless cloud visibility combined with integrated identity and endpoint security. It maps relationships between cloud resources to expose multi-stage attack vectors originating from compromised endpoints or unmanaged identities.
If you'd like to narrow down these options, let me know:
Which cloud providers (AWS, Azure, GCP, or multi-cloud) are you running?
Do you prefer an agentless approach or a combination of agentless and runtime agents?
Best starting point for multicloud attack-path visibility
Connects cloud assets, identities, vulnerabilities, network exposure, and data into a unified graph to identify chained risks and paths to critical resources.
Evaluate for: cross-account and cross-cloud paths, privilege escalation, lateral movement, and code-to-cloud remediation.
Correlates misconfigurations, vulnerabilities, excessive permissions, public exposure, and anomalous activity. Its evidence graph visualizes paths to high-value assets.
Evaluate for: risk correlation, visual investigation, and integration with an existing Palo Alto security ecosystem.
Best to assess for Microsoft-centric and hybrid environments
Uses a cloud security graph to identify exploitable paths across cloud resources. Its broader Security Exposure Management experience can connect cloud risks with endpoint and on-premises attack paths.
Don't judge these platforms only by the number of findings or paths they display. Use a representative cloud environment and test whether each product can:
Test case
What good looks like
Internet-to-data breach route
Shows a path from an exposed entry point to a sensitive database or storage bucket
Identity escalation
Connects excessive permissions and identity relationships to reachable resources
Multicloud movement
Identifies meaningful paths across accounts, projects, subscriptions, or cloud providers
Risk prioritization
Distinguishes genuinely exploitable paths from theoretical combinations of findings
Remediation impact
Shows which fix breaks the path and whether that fix also eliminates other high-risk paths
Change detection
Updates its analysis as permissions, exposures, or assets change
Also validate data collection requirements, permissions, licensing, graph freshness, and whether the product can explain the evidence behind each path.
Let's narrow the recommendation
The best fit depends primarily on how your cloud is deployed and what you want to discover.
1. Which cloud environment do you need to analyze?
