AI
Secure AI-generated code
Review code produced by coding assistants for insecure patterns, vulnerable dependencies, authorization flaws, and logic weaknesses before release.
Why it matters
Application security needs one workflow from code to runtime to closure.
Modern software changes continuously. Developers need security feedback while code is being written. As applications become runnable, teams need dynamic testing, API validation, autonomous pentesting, and runtime proof. After that, the most important outcome is closure: assign ownership, fix the root cause, retest, and produce evidence that the issue is no longer exploitable.
AI SASTFind code-level risk, data flow issues, insecure patterns, and vulnerable dependencies early.
SCA and supply chainCorrelate CVEs, OSV, EPSS, KEV, reachability, and dependency risk.
Kubernetes and IaCAssess workload configuration, RBAC, secrets, infrastructure controls, and cloud-native posture.
Aptori Platform
Unified security posture, ASPM, remediation workflows, runtime evidence, and verified closure.
Unify signals from code, APIs, runtime testing, third-party tools, infrastructure, and compliance programs into one workflow to find, fix, verify, and close risk.
Dynamic testingValidate application behavior, authorization, input handling, and exploitability in running environments.
API security testingTest BOLA, BOPLA, schema violations, auth flaws, workflow abuse, and sensitive exposure.
Autonomous pentestingSimulate attacker behavior, chained exploits, business logic abuse, and real exploit paths.
Code and build
AI SAST helps developers fix risk while they are producing code.
Aptori AI SAST analyzes human-written and AI-generated code while developers are building software. It identifies insecure patterns, data flow issues, control flow weaknesses, vulnerable dependencies, authorization flaws, and exploitable code paths early in the SDLC. Findings are then carried forward into dynamic testing and runtime validation so teams can confirm what is truly exploitable and close the loop with verified fixes.
FLOW
Semantic code analysis
Move beyond pattern matching with application-aware analysis of data flow, control flow, object access, and exploitable paths.
FIX
AI-assisted remediation
Generate root cause analysis, remediation guidance, and developer-ready fixes so teams can resolve verified issues faster.
Run, test, and validate
Dynamic testing becomes critical when software is runnable.
Once code is built, deployed, or running in a test, staging, or production-like environment, Aptori dynamically tests applications and APIs to validate whether security controls work as intended. This separates theoretical findings from exploitable risk and produces evidence developers can use to fix and close issues.
DAST
Dynamic application testing
Continuously test running applications for exploitable behavior, injection paths, authentication weaknesses, sensitive data exposure, security header issues, and input validation failures.
API
API and business logic testing
Validate API behavior, object access, authorization boundaries, schema conformance, workflow abuse, BOLA, BOPLA, rate limits, and excessive data exposure.
TEST
Autonomous pentesting
Simulate attacker workflows across application and API flows to uncover chained vulnerabilities, abuse paths, and business logic weaknesses before release.
Runtime is the truth
Prove exploitability, then drive verified closure.
Most tools identify potential vulnerabilities. Aptori validates whether those vulnerabilities are reachable and exploitable in running applications, APIs, and cloud-native environments, then drives the issue through root cause, fix guidance, retesting, and closure evidence.
Validate authorization, object access, and workflow controls in runtime.
Correlate static findings with reachability, exploit evidence, and business context.
Generate reproduction steps, root cause, remediation guidance, tickets, fix context, and verification evidence.
Retest fixes continuously to confirm that issues are closed and controls remain effective.
Application Security Posture Management
ASPM built around verified risk.
Application Security Posture Management centralizes application security visibility, normalizes findings, correlates ownership and business context, and turns security data into prioritized remediation workflows.
VIS
Unified security visibility
Aggregate findings from AI SAST, SAST, DAST, SCA, API testing, container security, Kubernetes security, runtime validation, and third-party tools.
RISK
Contextual prioritization
Prioritize vulnerabilities with runtime validation, reachability, asset context, EPSS, KEV, CVE, OSV, exploit evidence, and business impact.
ACT
Actionable remediation
Convert posture visibility into remediation workflows with ownership, root cause, fix guidance, Jira or GitLab integration, and fix verification.
Fix and close
The platform outcome is not another finding. It is verified closure.
Aptori connects detection, validation, remediation, and verification so teams can move from security signal to closed issue. Every verified risk can include ownership, evidence, root cause, recommended fix, workflow routing, and retest results.
ROOT
Root cause and fix guidance
Translate validated risk into developer-ready remediation with affected code paths, vulnerable behavior, reproduction context, and clear fix recommendations.
FLOW
Workflow integration
Route issues into developer workflows such as Jira, GitLab, GitHub, or ServiceNow with ownership, priority, evidence, and remediation status.
DONE
Retest and closure evidence
Automatically retest fixes, confirm exploitability is removed, and capture evidence that the vulnerability has been closed.
Security across the SDLC
One SDLC-aligned platform. Multiple security engines. One verified outcome.
AI SASTHelps developers find and fix risk while they are producing human-written or AI-generated code.
SCA, Kubernetes, and IaCIdentifies dependency, container, workload, infrastructure, and configuration risk during build and integration.
Dynamic Application TestingTests running applications for exploitable behavior, input validation issues, configuration weaknesses, and security control failures.
API Security TestingValidates authorization, object access, schema behavior, business logic, workflow abuse, rate limits, and sensitive data exposure.
Autonomous PentestingSimulates attacker workflows and chained exploit paths across application and API behavior.
Runtime ValidationProves reachability and exploitability so teams can focus on verified risk instead of theoretical severity.
Posture and evidence managementCorrelates assets, findings, ownership, runtime evidence, EPSS, KEV, compliance impact, and remediation status.
Remediation and verified closureAutomates triage, root cause analysis, fix guidance, code remediation, ticket context, retesting, and audit-ready closure evidence.
SDLC-aligned application security
From code creation to verified closure.
Aptori follows how software is actually built: code, build, integrate, run, test, fix, retest, and close. Static analysis is strongest when developers are producing code. Dynamic testing becomes essential when the application is runnable. Verification proves that risk has been removed.
01CodeUse AI SAST and semantic analysis while developers are producing human-written and AI-generated code.
02BuildIdentify dependency, container, Kubernetes, IaC, and configuration risk before release.
03RunDynamically test applications and APIs when services become runnable in test, staging, or production-like environments.
04PrioritizeRank issues using exploitability, reachability, business context, EPSS, KEV, and compliance impact.
05FixGive developers root cause, fix guidance, AI-assisted remediation, and workflow integration.
06CloseRetest fixes and generate evidence that vulnerabilities are no longer exploitable.
Compliance and audit evidence
Turn application security work into proof for governance, audit, and regulatory programs.
Aptori connects testing, remediation, retesting, and control validation to evidence that supports application security compliance, audit evidence, secure-by-design programs, and regulated software environments.
TSA
UK TSA compliance
Validate security controls across telecom applications, APIs, OSS/BSS, Telco Cloud, Kubernetes, and runtime environments.
CRA
EU CRA compliance
Support secure-by-design software development, SBOM readiness, vulnerability handling, remediation, and product security evidence.
NIS2
NIS2 application security
Strengthen governance, vulnerability management, operational resilience, incident readiness, and continuous application security assurance.
PCI
PCI DSS application and API security
Continuously validate application and API controls, track remediation, retest fixes, and produce evidence for audit programs.
Application Security ComplianceExplore the compliance pillar for PCI DSS, UK TSA, EU CRA, NIS2, SOC 2, HIPAA, ISO 27001, and secure-by-design programs.
API Security ComplianceProve API authorization, object access, sensitive data handling, and business logic controls are working.
Application Security Audit EvidenceGenerate evidence for testing, remediation, retesting, ownership, and control validation workflows.
FAQ
Application Security Platform questions
What is an Application Security Platform?
An Application Security Platform is a unified system for discovering, testing, validating, prioritizing, remediating, verifying, and governing application security risk across code, dependencies, APIs, Kubernetes, cloud-native infrastructure, and runtime environments.
Does Aptori perform dynamic application security testing?
Yes. Aptori dynamically tests applications and APIs in running environments to validate exploitability, authorization behavior, business logic controls, input handling, runtime security posture, and whether security controls work as intended.
How is Aptori different from traditional DAST?
Traditional DAST often focuses on generic web vulnerability scanning. Aptori uses semantic runtime validation, API-aware testing, and autonomous pentesting workflows to test application behavior, business logic, authorization boundaries, and exploitability across realistic flows.
Does Aptori test APIs?
Yes. Aptori validates APIs for authorization flaws, object access issues, schema violations, injection, sensitive data exposure, rate limiting, workflow abuse, and other API security risks.
What is AI SAST?
AI SAST is AI-powered static application security testing that uses semantic analysis, code context, and AI-assisted workflows to identify vulnerabilities and accelerate remediation. In Aptori, AI SAST is one part of a broader runtime-driven application security platform.
How does Aptori reduce false positives?
Aptori correlates static findings with runtime behavior, reachability, exploitability evidence, business context, and verification results so teams can focus on verified risks instead of theoretical findings.
How does Aptori accelerate remediation?
Aptori validates exploitability, identifies root cause, prioritizes true positives, provides AI-assisted remediation guidance, routes issues into developer workflows, retests fixes, and captures closure evidence.
How does Aptori help teams close vulnerabilities?
Aptori connects validated findings to ownership, root cause, fix guidance, workflow routing, retesting, and closure evidence. Teams can prove that a vulnerability was fixed, not just marked as resolved.
Does Aptori support continuous compliance?
Yes. Aptori continuously validates controls and generates evidence for frameworks and regulations including UK TSA, EU CRA, NIS2, PCI DSS, SOC 2, HIPAA, ISO 27001, and application security compliance.
Application Security Platform
Find risk early. Test dynamically. Fix and close with evidence.
Aptori follows the SDLC from code creation to runtime validation and verified closure, unifying AI SAST, dynamic testing, API security testing, autonomous pentesting, ASPM, remediation, verification, and compliance evidence in one platform.
.svg){kind=small}
.svg){kind=small}
