Stop buying more scanners. Start closing application risk.
Aptori gives enterprises one AI-native application security platform that understands the whole application, proves what is exploitable, helps developers fix the root cause, and verifies that risk is actually closed.
One application security operating model.
Deep testing remains specialized. The difference is that every signal shares application context, evidence, ownership, and remediation.
Six reasons to consolidate around Aptori.
Understand the whole application.
Connect code, dependencies, APIs, identities, objects, workflows, infrastructure, and runtime behavior in one live context graph.
Application Context Graph →Separate real risk from theoretical noise.
Use reachability, semantic context, and runtime validation to determine which weaknesses can actually become meaningful exploits.
Semantic Runtime Validation →Give developers the shortest path to a fix.
Carry root cause, code path, evidence, ownership, and remediation guidance into developer workflows.
Continuous Vulnerability Management →Continuously discover unknown attack paths.
Use controlled agents to explore applications, change identities, abuse workflows, chain actions, and safely prove exploitability.
Autonomous Pen Testing →Secure software built by humans and agents.
Analyze human-written and AI-generated code while continuously reassessing APIs, dependencies, infrastructure, and application behavior.
Secure AI-Generated Code →Keep AI security under enterprise control.
Choose where code, context, models, agents, and evidence operate—with dedicated, self-managed, and air-gapped options.
Sovereign AI →The difference starts with understanding the application.
Most AppSec tools see one layer. Aptori connects those layers into a live semantic model so every checker and agent can reason from the same application context.
That context changes prioritization, triage, exploitability analysis, remediation, and retesting because the system understands relationships—not just findings.
Context Graphrelationships • reachability
identity • impact
Aptori closes the loop traditional AppSec leaves open.
The goal is not another dashboard. It is a measurable path from security signal to verified resolution.
Software is now created by humans and agents.
Coding assistants and autonomous agents can create code, APIs, dependencies, infrastructure, tests, and workflows at machine speed. Aptori secures the application continuously as both humans and agents change it.
Secure AI-Generated Code →Developers + Security
Architecture, code, review, policy, and engineering decisions.
Coding + Software Agents
Generate, refactor, test, integrate, and automate software continuously.
Code • APIs • Dependencies • Infrastructure • Workflows
Your code and security context should not require surrendering control.
Aptori supports enterprises that need control over where sensitive code, application context, evidence, models, and agents operate. Deploy dedicated, self-managed, or air-gapped and route AI workloads only to approved models.
Explore Sovereign AI →Deep testing without another collection of disconnected tools.
Aptori keeps specialized execution engines while unifying application context, evidence, risk, ownership, remediation, and verification.
Dependencies + infrastructure
SCA, SBOM, licenses, containers, IaC, Kubernetes, and supply-chain security.
Explore SGEN →AI SAST + semantic code analysis
Data flow, control flow, authorization, business logic, and AI-generated code.
Explore SMART →API + runtime validation
Authorization, objects, workflows, business logic, and Semantic Runtime Validation.
Explore SIFT →Autonomous penetration testing
Agent-driven exploration, attack chaining, exploitability validation, and retesting.
Explore DART →Why Aptori?
Why should an enterprise choose Aptori?
Aptori combines specialized application security testing with shared application context, exploitability validation, developer remediation, autonomous penetration testing, Sovereign AI, and verified closure in one operating model.
How is Aptori different from traditional AppSec tools?
Traditional AppSec tools commonly evaluate code, dependencies, APIs, runtime behavior, and pentesting as separate findings. Aptori connects those layers in an Application Context Graph so security decisions can use reachability, identity, workflow, ownership, and runtime evidence.
Does Aptori replace SAST, SCA, API security, and penetration testing?
Aptori provides specialized capabilities across those areas, but the strategic difference is the shared context, evidence, prioritization, remediation, and verification layer that connects them.
How does Aptori reduce security noise?
Aptori correlates findings with application context, reachability, business meaning, and runtime evidence, then uses exploitability validation where deeper proof is needed.
Does Aptori support Sovereign AI?
Yes. Aptori supports dedicated, self-managed, and air-gapped deployment and can route AI workloads to approved local, private, sovereign, or hosted models according to enterprise policy.
.svg){kind=small}
.svg){kind=small}
