Attack Path Analysis

Attack path analysis maps how attackers chain misconfigurations, excessive identity permissions, and vulnerabilities into a path that reaches your crown-jewel assets. TigerGate ties cloud, identity, Kubernetes, and workload signals into a single security graph — so you can eliminate the path, not just the finding.

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Platform Capabilities

See Your Security Through an Attacker's Eyes

Comprehensive attack surface analysis and threat modeling capabilities

Attack path graph — live analysis

Visualization

Attack Path Visualization & Security Graph

Interactive graph visualization of potential attack paths from external access to critical assets. Build a complete security graph showing relationships between identities, resources, and permissions.

Interactive end-to-end attack path mapping
Identity, resource, and permission relationship graph
Critical asset identification and prioritization
Privilege escalation path detection

85%

Attack surface reduction

3 layers

Analysis depth

Analysis

Blast Radius & Multi-Layer Analysis

Understand the potential impact of a security breach with comprehensive blast radius calculations for every asset. Analyze attack vectors across network, identity, application, and data layers.

Blast radius calculation for every cloud asset
Network, identity, and application layer coverage
Cross-account and cross-service lateral movement paths
AI-powered risk scoring for prioritized remediation

Analysis layers

Real-time

Monitoring

Remediation

Risk Prioritization & Threat Elimination

AI-powered risk scoring helps you focus on the attack paths that pose the greatest threat. Get prioritized remediation guidance to close the most dangerous paths and reduce your blast radius.

AI-prioritized attack path remediation queue
Step-by-step guidance to close each threat vector
Least-privilege access design recommendations
Continuous monitoring for new exposure paths

85%

Risk reduction

Proactive

Defense posture

Why TigerGate

Proactive Defense Against Advanced Threats

Real-world impact from organizations using TigerGate attack path analysis

Reduce Attack Surface by 85%

Identify and eliminate unnecessary access paths, overprivileged identities, and exposed resources.

Over-privileged identity detectionUnnecessary network exposure removalUnused permission cleanupPublic internet exposure mapping

Prevent Lateral Movement

Block attackers from moving laterally through your infrastructure by identifying and closing attack chains.

Cross-account lateral movement detectionContainer and pod connectivity analysisNetwork segmentation validationService mesh attack vector mapping

Faster Incident Response

Understand blast radius in seconds during security incidents to contain threats before they spread.

Instant blast radius calculationCompromised identity scope determinationAffected resource and data identificationAutomated incident response reports

Proactive Threat Defense

Find and fix security gaps before attackers can exploit them with continuous attack path monitoring.

Continuous attack surface monitoringRed team exercise augmentationZero trust architecture validationSecurity control effectiveness testing

Comprehensive Attack Surface Coverage

Analyze attack paths across your entire technology stack

Cloud Infrastructure

AWS IAM & Resource Policies
GCP IAM & Organization Policies
Azure RBAC & Network Security
Kubernetes RBAC & Network Policies
Service Mesh & API Gateway

Identity & Access

User & Service Account Permissions
Cross-Account Access
Federated Identities
API Keys & Access Tokens
Privilege Escalation Paths

Network & Application

Network Segmentation Analysis
Public Internet Exposure
Container & Pod Connectivity
API Attack Vectors
Lateral Movement Paths

What is Attack Path Analysis?

Attack path analysis is a security technique that models your cloud environment as a graph of resources, identities, and permissions — and then calculates the paths an attacker could traverse to reach a sensitive asset. Instead of a flat list of 10,000 findings, it surfaces the 20 chains that actually matter: "this internet-facing load balancer → vulnerable workload → overprivileged IAM role → S3 bucket of customer PII."

Analysts and auditors sometimes ask "what is an attack path analysis?" — same question, same answer. The output is a prioritized list of attack chains, not isolated findings.

Attack Path Mapping Across Cloud, Identity, and Kubernetes

Attack path mapping requires a graph that spans every layer attackers actually use. TigerGate ingests signals from multi-cloud CSPM, identity security, Kubernetes posture, container security, and eBPF runtime to build one continuous attack graph.

Three dimensions matter most:

Network paths: internet exposure, VPC peering, security groups, service mesh.
Identity paths: role chaining, cross-account assume-role, excessive IAM permissions.
Data paths: which identities and workloads can read, write, or exfiltrate sensitive data stores.

Identity Attack Path Analysis

Modern cloud breaches are overwhelmingly identity-driven — stolen keys, assumed roles, overprivileged service accounts. Identity attack path analysis traces every trust relationship (IAM role assumption, OIDC federation, cross-account policies) alongside permission relationships to show which identities can escalate privilege and reach crown-jewel resources. TigerGate flags the specific policy statements, service control policies, or trust boundaries you need to tighten.

Cloud Attack Path Analysis for AWS, Azure, and GCP

Cloud attack path analysis works across AWS, Azure, GCP, Oracle Cloud, and Kubernetes with read-only credentials — no agents required. The security graph updates continuously, so new findings are immediately scored in context: a new vulnerability on an internet-reachable workload with privileged IAM lights up at the top of the queue, while the same CVE on an isolated internal workload stays low priority.

Attack Path Management vs. Attack Surface Management

Attack path management (APM) focuses on internal paths an attacker could take after any foothold. Attack surface management (ASM) focuses on the external perimeter — exposed assets, forgotten subdomains, and shadow IT. Both are necessary, and they feed each other: ASM identifies the entry points, APM traces what those entry points unlock. TigerGate includes attack surface management alongside attack path analysis.

Frequently Asked Questions

Everything you need to know about TigerGate Attack Path & Exposure Analysis

A vulnerability scanner produces a flat list of CVEs and misconfigurations. Attack path analysis goes further by correlating those findings with identity permissions, network exposure, and resource relationships to show the complete chain an attacker would follow — for example, internet-facing load balancer → compromised EC2 instance → overprivileged IAM role → S3 bucket containing PII. This graph-based view lets you prioritize the handful of paths that lead directly to critical assets rather than triaging thousands of individual findings.

TigerGate connects to your cloud providers (AWS, Azure, GCP, Oracle Cloud, and Kubernetes) using read-only API credentials you supply — no agents are deployed into your cloud accounts for the graph analysis itself. The platform calls cloud-provider APIs to enumerate IAM policies, network security groups, resource configurations, and workload metadata, then constructs a live security graph from that data. For runtime enforcement you can optionally deploy the lightweight eBPF agent, but it is not required to start seeing attack paths.

The platform uses an AI-powered risk-scoring engine that evaluates each path across multiple dimensions: reachability from the internet, number of hops to a critical asset, severity of individual findings along the path, and the business value of the target asset. Paths that are internet-reachable, involve privilege escalation, and terminate at data stores or secrets receive the highest scores and appear at the top of your remediation queue. The goal is to help you reduce attack surface by up to 85% by fixing the most dangerous paths first.

Yes. The security graph models cross-account IAM role assumptions, VPC peering, service mesh connections, and Kubernetes RBAC relationships, so lateral movement paths that span multiple AWS accounts, GCP projects, or Azure subscriptions are surfaced as single end-to-end chains. The blast radius calculation for each compromised node includes all reachable resources across those boundaries, giving you an instant scope estimate during an incident.

TigerGate maps attack path findings to CIS Benchmarks (AWS, GCP, Azure, Kubernetes), NIST 800-53, PCI-DSS, HIPAA, SOC 2, and ISO 27001, among others. Each path in the graph is annotated with the controls it violates, so you can generate a compliance-scoped remediation report and demonstrate progress to auditors without manual evidence gathering.

You can start a 14-day free trial with no credit card required. Onboarding typically takes under five minutes: connect your cloud provider credentials, and TigerGate begins building the security graph immediately. Your first set of attack paths and a prioritized remediation queue are available within the first scan cycle.

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