See your application as a connected system.
A continuously updated view of how code, APIs, identities, dependencies, workflows, runtime behavior, and security risk connect—so teams can see what is exploitable and what to do next.
root cause • business impact
Security context is the relationship between the parts of the application.
An Application Context Graph is a continuously updated representation of the relationships between an application's code, dependencies, services, APIs, identities, objects, workflows, infrastructure, runtime behavior, ownership, and security findings.
Those relationships give security teams the context needed to understand how a weakness can affect the application—not simply that a scanner found something.
Application security risk depends on what a finding connects to.
Findings in isolation.
Risk in application context.
Use relationships to move from findings to security outcomes.
The graph turns context into decisions security and engineering teams can act on.
Understand real exposure.
See whether a weakness is reachable and exploitable.
Understand application behavior.
Understand identities, objects, authorization, and workflows.
Focus on what matters.
Prioritize using application and business impact.
Find where to fix.
Trace risk back to the code or control that needs to change.
Verify the path is closed.
Retest the affected path and verify the outcome.
Give security teams and AI agents the context to act.
Aptori connects security findings with how your application is built and behaves—so teams can understand what matters, fix the right issue, and verify the risk is gone.
Context Graph code • services • APIs
dependencies • identities • objects
runtime paths • ownership • impact
Use connected application context to understand risk, guide remediation, test attack paths, and verify closure.
Explore AI Security Engineer →Move from isolated findings to application-level risk.
Traditional application security tools often analyze code, dependencies, APIs, infrastructure, and runtime behavior separately. An Application Context Graph connects those findings to the application itself—its services, identities, objects, workflows, ownership, and application paths.
This context helps AI SAST prioritize meaningful code weaknesses, Semantic Runtime Validation prove application behavior, and Autonomous Penetration Testing explore attack paths.
One Application Context Graph. Better security decisions.
Understand code behavior.
Find weaknesses in the context of how the application works.
Explore Semantic Code Analysis →Prove exploitability.
Validate whether a weakness can actually be exercised.
Explore Semantic Runtime Validation →Explore attack paths.
Guide attack-path exploration and reproduce exploitable behavior.
Explore Autonomous Pen Testing →Put application context to work across the security lifecycle.
Connect Application Security Testing, API Security Testing, Continuous Vulnerability Management, and Application Security Posture Management to a connected view of application risk.
Application Context Graph.
What is an Application Context Graph?
An Application Context Graph connects code, dependencies, APIs, identities, objects, workflows, infrastructure, runtime behavior, ownership, and security findings so teams can understand application risk in context.
How does an Application Context Graph improve application security?
It helps teams determine whether a weakness is reachable or exploitable, understand what it affects, identify root cause and ownership, prioritize remediation, and verify that the vulnerable path is closed.
How is an Application Context Graph different from an attack graph?
An attack graph focuses primarily on paths an attacker could take through a system. An Application Context Graph represents broader relationships across the application. Attack paths are one security outcome that can be derived from this broader context.
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