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.
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.
Aptori applies AI SAST, semantic code analysis, Software Composition Analysis, dependency reachability, EPSS, KEV, and SBOM context while fixes are still cheap.
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 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.