Validate what is actually exploitable.
Continuously test code, APIs, dependencies, and application behavior—then validate which weaknesses are actually exploitable. Aptori gives security and engineering teams the context and evidence to fix what matters.
Validate.
Prove.
Understand the application, not just the finding.
The hardest application vulnerabilities cannot be understood from an isolated scanner finding. Whether a weakness matters depends on how code, APIs, identities, objects, permissions, dependencies, and business workflows interact.
Semantic Runtime Validation connects those relationships into a model of how the application is expected to behave—then actively tests whether its security assumptions can be violated at runtime.
testable behavior.
One platform across every layer of application risk.
Aptori unifies code security, software supply chain, API and business logic testing, and offensive validation in a single AppSec platform. Each capability contributes to the same application context, evidence model, prioritization, and remediation workflow.
Source & logic
Identify insecure code paths, control-flow weaknesses, and implementation defects while preserving application context.
Dependencies & infrastructure
Understand vulnerable packages, SBOMs, containers, IaC, licenses, and software supply-chain exposure.
Runtime behavior
Validate authorization, object access, identities, workflows, state transitions, and business logic.
Attack paths
Actively exercise the application to determine whether weaknesses can be chained into meaningful exploits.
Know what is exploitable before asking developers to fix it.
Aptori brings signals from across the application into a shared semantic context, then validates whether they can combine into a real attack path. The result is not another severity score—it is evidence of what an attacker can actually do.
Reason.
Validate.
The weakness can be reproduced through a meaningful application path with the required identity, object, workflow, and runtime conditions.
Connect security signals that scanners leave isolated.
Code findings, vulnerable packages, API behavior, identities, and runtime evidence are more useful when they are connected. Aptori preserves those relationships so teams can see how a weakness moves through the application.
Traditional finding-centric AppSec
Code, SCA, DAST, and API signals remain disconnected.
A CVSS score does not show whether an attacker can reach a meaningful outcome.
Engineering has to reconstruct root cause and exploitability after the finding arrives.
“Fixed” often means a ticket changed status—not that the exploit path was retested.
Context-driven application security
Connect code, dependencies, APIs, identity, business logic, and runtime evidence.
Prioritize behavior that can be reproduced and tied to real attack paths.
Give developers the request, code path, context, and reason the security control failed.
Retest the behavior and prove that the vulnerable path no longer works.
Give developers the shortest path to resolution.
Instead of handing engineering another generic finding, Aptori provides the affected path, supporting evidence, root cause, and remediation context needed to act quickly.
- Signal
- Authorization weakness identified in application code.
- Context
- Customer role → account object → cross-tenant API workflow.
- Runtime
- Unauthorized object access reproduced through the live API path.
- Root cause
- Ownership validation is missing before the data retrieval operation.
- Resolution
- Developer receives affected control path and remediation guidance.
- Retest
- Same attack path is replayed after remediation to prove closure.
Revalidate security every time the application changes.
Security evidence becomes stale as software changes. Aptori runs throughout development and delivery so new code, dependency updates, API changes, and fixes are continuously reassessed.
Coverage across the modern application stack.
Use the testing techniques appropriate to each layer while preserving the context between them.
Application security testing questions.
What is Application Security Testing (AST)?
Application Security Testing (AST) is the process of identifying, validating, prioritizing, and remediating vulnerabilities across source code, APIs, software dependencies, authentication and authorization controls, business logic, and runtime application behavior. AST is a core part of an application security, or AppSec, program.
What is AppSec?
Application security, commonly called AppSec, is the practice of protecting software throughout its lifecycle. AppSec combines secure development practices, Application Security Testing, vulnerability management, remediation, runtime validation, and continuous assurance to reduce application risk.
What are the main types of application security testing?
Common approaches include static application security testing (SAST), dynamic application security testing (DAST), interactive application security testing (IAST), software composition analysis (SCA), API security testing, runtime validation, and penetration testing.
How is Aptori different from traditional SAST or DAST?
Aptori connects code, APIs, dependencies, semantic application context, and runtime behavior to determine whether a weakness is actually exploitable and to provide developers with evidence for remediation.
What is continuous application security testing?
Continuous application security testing integrates validation into development, CI/CD, staging, release, and remediation workflows so applications are re-evaluated as code, dependencies, APIs, and behavior change.
What is Semantic Runtime Validation?
Semantic Runtime Validation is a runtime-first approach that understands the meaning and relationships between code, APIs, identities, objects, workflows, business rules, and runtime behavior, then tests whether expected security controls can be violated.
How does application security testing help reduce false positives?
By correlating findings with application context and validating exploitability in runtime, teams can focus on security weaknesses that can actually produce a meaningful attack path rather than treating every theoretical signal equally.
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