Secure AI-generated code
Guide developers and AI coding workflows with AI SAST, dependency analysis, secret detection, and secure-by-design controls before vulnerable code reaches CI/CD.
Aptori is an AI-native application security platform that helps teams build secure-by-design software, secure AI-generated code, validate runtime behavior, accelerate remediation, and continuously prove security posture across development and production.
From developer guardrails to runtime proof, remediation, and production assurance.
Findings → Runtime proof → Prioritized risk → Accelerated remediation → Verified closure
AI-generated code, APIs, cloud-native applications, and autonomous agents are accelerating software delivery. Security must keep pace. Aptori continuously validates applications, APIs, AI systems, and cloud-native environments to identify exploitable vulnerabilities, discover unknown attack paths, accelerate remediation, and maintain continuous assurance.
Find. Auto-Fix. Secure.
Aptori helps organizations build secure-by-design software through code analysis, runtime application security testing and automated remediation. Together, these capabilities enable continuous vulnerability management and support ongoing compliance with standards such as PCI DSS, NIS2, UK TSA, EU CRA, HIPAA, and ISO 27001.
Guide developers and AI coding workflows with AI SAST, dependency analysis, secret detection, and secure-by-design controls before vulnerable code reaches CI/CD.
Validate APIs, identities, authorization controls, workflows, business logic, and Kubernetes exposure under real runtime conditions.
Use autonomous pen testing to explore attack paths, prove exploitability, prioritize real risk, and verify closure after remediation.
Aptori connects application security posture management, application security testing, AI SAST, SCA, API security testing, autonomous pen testing, remediation, and compliance evidence into one operating model.
Select a capability area to explore how Aptori connects security signals to validation, remediation, and assurance.
Aptori turns ASPM from a dashboard of findings into an evidence-driven operating model. It correlates findings across code, APIs, dependencies, infrastructure, runtime behavior, and third-party tools using the Aptori Security Data Lake.
Aptori identifies exposed secrets and correlates them with services, repositories, APIs, runtime paths, and business impact so teams can understand whether a leaked credential creates an exploitable path.
Aptori enriches dependency findings with reachability, EPSS/KEV context, service ownership, runtime exposure, and remediation guidance so teams can fix the vulnerabilities that actually matter.
Aptori turns SBOM and component inventory into actionable security context by connecting dependencies, services, APIs, reachability, runtime posture, and compliance evidence.
Aptori helps developers find and fix code-level weaknesses earlier, then connects static findings to runtime evidence so security teams can separate theoretical issues from exploitable risk.
Aptori validates IaC and cloud-native configuration risk in the context of deployed applications, Kubernetes posture, API exposure, and runtime behavior so teams can prioritize infrastructure issues that affect real systems.
Aptori validates APIs, identities, authorization, object access, workflow behavior, and business logic so teams can catch exploitable weaknesses in CI/CD, pre-production, and production environments.
Aptori continuously validates the security posture of Kubernetes environments and correlates runtime infrastructure risk with application, API, and code-level findings. The result is continuous proof that applications remain secure-by-design from development through production.
Aptori brings offensive testing into the application security lifecycle by safely validating exploitable paths across runtime behavior, API workflows, identities, authorization boundaries, and business logic.
Aptori helps regulated teams prove that risk is continuously identified, validated, prioritized, remediated, and verified, with evidence mapped to security and compliance programs.
Aptori continuously validates applications, APIs, identities, workflows, dependencies, infrastructure, and runtime behavior across the software lifecycle.
Guide developers and AI-assisted workflows while software is created, so security is built in before release.
Continuously identify, validate, prioritize, remediate, and verify exploitable risk across code, APIs, dependencies, Kubernetes, and runtime.
Generate evidence that controls are operating across development, CI/CD, deployment, and production.
Aptori starts where software is created, helping developers secure AI-generated code, dependencies, APIs, and application logic early with AI SAST and SCA, then validates runtime behavior in CI/CD and verifies closure after remediation.
Developers and AI-assisted coding workflows get fast security guidance while code, APIs, secrets, and application logic are still being shaped.
Find and fix risky code early with AI SAST, semantic analysis, dependency reachability, and exploitability context, before vulnerabilities reach production.
Dynamic testing checks APIs, identities, authorization paths, workflows, objects, Kubernetes exposure, and business logic before release.
Aptori ranks findings by runtime evidence, exploitability, business impact, reachability, ownership, and attacker path so teams focus on what matters.
Aptori maps risk to root cause and owner, recommends remediation, and retests the same runtime path to prove the vulnerable behavior is closed.
Aptori combines exploitability validation, contextual risk prioritization, AI-powered remediation guidance, and automated verification to help teams eliminate vulnerabilities faster and maintain secure-by-design software.
Focus developers on vulnerabilities that have been validated through runtime testing, autonomous security analysis, and exploitability evidence.
Map findings to affected APIs, code paths, dependencies, workflows, owners, and business context to accelerate remediation.
Generate developer-ready remediation recommendations and code-level guidance directly from validated findings.
Retest runtime behavior after remediation to confirm that the vulnerability and attack path have been eliminated.
Aptori DART delivers autonomous pen testing for applications and APIs. It explores applications, chains requests, changes identities, tests object ownership, abuses business logic, and proves exploit paths in runtime. The output flows into Blue Team Agent prioritization and Purple Team Agent remediation workflows.
Validate how APIs, sessions, identities, and business workflows behave together under attack.
Expose object ownership, tenant boundary, and privilege flaws that legacy scanners miss.
Translate exploit evidence into a fix path developers can understand and implement.
Autonomous security must remain controlled, transparent, and operationally accountable. Aptori supports an enterprise operating model where security, engineering, platform teams, and partners can see ownership, risk, remediation status, evidence, and closure.
Give security teams, developers, platform teams, and partners the right level of visibility into what they need to fix and what has been verified.
Route verified risk into tickets, pull requests, CI/CD checks, and executive reporting so remediation becomes measurable and accountable.
Show what was tested, what was exploitable, what was fixed, who owns the issue, and whether runtime retesting confirms closure.
Fast onboarding and managed operations for teams that want immediate value.
Greater isolation and control for enterprise security requirements.
Run Aptori in your own infrastructure with Kubernetes-based deployment.
Support controlled and sovereign environments without exposing sensitive systems.
Use Aptori to secure AI-generated code, validate runtime behavior, prioritize exploitable risk, accelerate remediation, and verify closure across development, CI/CD, and production.
Autonomous application security uses AI, runtime validation, offensive testing, prioritization, remediation, and verification to continuously reduce exploitable risk across the software lifecycle.
Aptori prioritizes based on exploitability, runtime evidence, business impact, reachability, exposure, code context, dependency context, and attacker path analysis.
Yes. Aptori AI agents generate precise remediation guidance and code fixes tied to the proven exploit path, then verify that the runtime behavior is fixed.
Aptori accelerates remediation by proving exploitability, identifying root cause, mapping issues to owners and workflows, generating developer-ready fixes, and verifying closure through runtime retesting.
ASPM platforms typically aggregate, correlate, and prioritize findings. Aptori goes further by validating exploitability in runtime, generating fixes, and verifying closure.
Runtime validation means testing how your application behaves under real conditions, including identity, API interactions, workflows, object ownership, and business logic.
Yes. Aptori supports SaaS, dedicated, self-hosted, and air-gapped deployment models for telecom, finance, healthcare, and other regulated environments.
Semantic Validate Runtime Behavior continuously validates how applications, APIs, identities, workflows, and runtime interactions behave under real-world conditions to determine exploitability and business impact.
AI-speed attacks use artificial intelligence to discover, chain, and exploit vulnerabilities faster than traditional human-driven security operations can respond.
Aptori helps teams secure AI-generated code, protect AI-powered applications, validate AI agents and APIs, and verify that runtime behavior remains secure across CI/CD and production.