360° application risk visibility
Unify visibility across source code, open source software, APIs, web applications, containers, Kubernetes, IaC, and cloud environments.
Aptori helps security and development teams find, triage, fix, and prove application risk across code, APIs, applications, containers, cloud infrastructure, and open source software. Semantic reasoning and AI Security Engineers turn noisy findings into validated security outcomes.
Understand APIs, data flows, authentication paths, dependencies, and runtime behavior.
Exercise meaningful paths with deterministic checks to verify whether security controls work.
Reduce noise by ranking findings according to real impact, reachability, and exposure.
Generate fixes, track evidence, and maintain continuous compliance across the SDLC.
Traditional AppSec programs generate too many findings, too little context, and not enough evidence. Aptori gives leaders and teams a unified way to understand what matters, prove risk, and drive remediation at software speed.
Unify visibility across source code, open source software, APIs, web applications, containers, Kubernetes, IaC, and cloud environments.
Rank risk by exploitability, sensitive data exposure, asset criticality, reachable paths, and business context.
Continuously capture validation results, remediation status, policy mappings, and compliance evidence for executive and audit reporting.
Aptori brings together semantic analysis, deterministic validation, AI-assisted workflows, and continuous compliance reporting so teams can secure modern software without slowing delivery.
Aptori helps teams continuously validate risk from development through production, while giving executives the visibility they need to govern application security.
Correlate duplicate findings, explain exploitability, assess business impact, and recommend next steps.
Build semantic models of application behavior, data flows, authentication paths, and control logic.
Validate security controls in realistic conditions to separate theoretical risk from exploitable risk.
Deliver precise fix guidance through pull requests, IDEs, CI/CD workflows, and ticketing systems.
Generate and consume SBOMs, identify vulnerable packages, and prioritize dependency remediation.
Map findings, controls, evidence, and remediation status to frameworks such as PCI DSS, SOC 2, ISO 27001, HIPAA, NIS2, and NIST.
Aptori operationalizes application security as a continuous loop. Teams can validate controls, identify exploitable risk, drive fixes, and produce evidence as software changes.
Analyze code, APIs, dependencies, containers, cloud configuration, and runtime behavior to build a security-aware model of the application environment.
Use semantic models and deterministic checks to verify whether security controls are present, reachable, and working as expected.
Reduce alert fatigue by ranking issues based on exploitability, data sensitivity, asset criticality, exposure, and operational context.
Deliver remediation guidance where teams work, including pull requests, CI/CD pipelines, IDEs, Jira, GitLab, GitHub, Slack, and ServiceNow.
Capture validation results, fix status, policy mappings, and audit artifacts so security and compliance teams can report posture with confidence.
Aptori helps leaders govern application risk across distributed engineering teams, fast release cycles, and complex compliance obligations.
Developers need precise, actionable feedback. Aptori brings security into the workflows they already use, with clear context and remediation guidance.
Modern applications are not only code. Aptori validates risks across the systems, APIs, infrastructure, and third-party components that make up production software.
Injection flaws, insecure deserialization, weak crypto, secrets, unsafe input handling, access control issues, and framework-specific risks.
BOLA, IDOR, BOPLA, broken authentication, schema drift, excessive data exposure, mass assignment, and chained API abuse paths.
Vulnerable dependencies, transitive package risk, outdated libraries, license exposure, and SBOM-driven supply chain visibility.
Image vulnerabilities, insecure defaults, Kubernetes posture, workload exposure, runtime drift, and infrastructure-as-code weaknesses.
IAM risk, exposed services, storage misconfiguration, insecure endpoints, and cloud control gaps that affect application exposure.
Evidence collection, policy mapping, remediation status, audit trails, and continuous reporting across major security frameworks.
Aptori uses semantic models to understand how your application behaves, then applies deterministic validation to test whether the expected security controls are present and working. This is different from generic pentesting because the goal is to prove secure behavior continuously, not only discover isolated issues at a point in time.
Small, security-aware models represent APIs, data flows, authentication logic, authorization boundaries, dependencies, and application behavior.
Checks validate expected controls consistently, helping teams prove whether authorization, input validation, data exposure, and runtime policies are working.
AI Security Engineers use validation results to support triage, remediation, explanation, and guided testing loops.
Security becomes a repeatable control validation process that runs as applications, APIs, dependencies, and cloud environments change.
AI-driven application security uses machine intelligence, semantic analysis, and automation to help teams identify vulnerabilities, prioritize exploitable risk, and accelerate remediation across the software lifecycle.
Aptori uses semantic reasoning, contextual prioritization, and deterministic validation to assess whether findings are reachable, exploitable, and relevant to the application’s real behavior.
Penetration testing is typically point-in-time and exploratory. Control validation is continuous and repeatable. Aptori validates whether expected security controls are present and working as software changes.
Yes. Aptori can validate APIs and web applications using runtime and interface-level information, while also supporting source-aware analysis when code is available.
Aptori is designed for CISOs, AppSec teams, platform security teams, cloud security teams, compliance teams, and developers who need to reduce risk without slowing software delivery.
Aptori can help support continuous evidence and mapping for frameworks such as PCI DSS, SOC 2, ISO 27001, HIPAA, NIS2, and NIST-aligned security programs.
Get a focused walkthrough of how Aptori finds, triages, fixes, and proves application security risk across code, APIs, runtime environments, cloud assets, and compliance workflows.

Unified dashboard mapping vulnerabilities to NIST CSF, PCI DSS 4.0, HIPAA, SOC 2—so you can report risk posture in minutes.
Auto-generated audit evidence and live reporting keep you audit-ready —eliminate last-minute scrambles.
Shift-left remediation slashes approval cycle from weeks to hours—accelerate innovation without compromising security.
Real-time vulnerability detection and AI-powered fix suggestions right in your code editor—catch issues before they ever hit your repo.
AI-driven pull-request comments that pinpoint and explain security flaws in context—speed up reviews and elevate overall code quality.
Built-in security checks in GitHub Actions, GitLab CI, and Jenkins run on every commit—ensure fast, secure releases without slowing down your pipeline.
Aptori blends SMART’s deep semantic modeling with traditional static analysis to ensure no risk goes unnoticed—then captures, triages, and suggests fixes automatically:
Detect hard-coded keys, tokens, and credentials in code or config.
Consume and generate Software Bill of Materials (SBOM) to map your entire supply chain—surface vulnerable or outdated libraries, flagged CVEs, and transitive risks before they reach production.
Uncover business-logic flaws (BOLA/IDOR) and code-level vulnerabilities (SQL/OS injection, XSS, CSRF, insecure deserialization).
Test endpoint workflows for broken-object authorization, parameter tampering, excessive data exposure, and chaining attacks.
Scan container images for OS and library vulnerabilities, misconfigurations, and insecure defaults—ensure your Docker, Kubernetes, and serverless workloads stay locked down.
Identify misconfigured IAM policies, exposed storage buckets, insecure service endpoints, and drift in cloud assets.
By orchestrating SMART’s graph-based engine, and traditional analyzers, Aptori captures every class of application security defect, prioritizes by exploitability and business context, and delivers precise remediation guidance—automatically.
Empower developers, uncover real risk, and automate what matters. Aptori’s AI Security Engineer uses semantic reasoning to model your APIs, generate targeted abuse-case tests, and run them continuously in CI/CD—detecting and remediating IDOR, BOLA, RBAC/ABAC and other vulnerabilities in real time while ensuring compliance (PCI DSS 4.0, HIPAA, NIST).
Build a real-time model of your code, APIs, applications, containers, and cloud
Uncover business logic flaws, misconfigurations, and runtime risks.
AI-driven risk scoring based on exploitability, data sensitivity, and business context
Reduce alert fatigue—focus only on vulnerabilities that matter
Inline code suggestions generated by an AI Security Agent
Automate pull-request comments, CI/CD patches, or direct IDE updates
Accelerate mean time to remediation from days to minutes
Embed controls for PCI DSS, NIS2, SOC 2, ISO 27001, and more
Auto-produce evidence packages and audit trails in real time
Maintain “audit-ready” posture as your code and cloud evolve
SMART (Semantic Modeling for Application & API Risk Testing) uses AI to map your entire stack—data flows, control paths, and authentication logic—into a live, stateful model. It then exercises every meaningful path to detect business logic vulnerabilities and runtime misconfigurations.
Finds flaws static and dynamic scanners miss.
Context-aware path selection minimizes false positives
Prioritize based on real exploitability, not just severity.
Proprietary graph-based engine delivers results in real time.
AI-Driven Application Security leverages artificial intelligence and semantic analysis to automatically discover, prioritize, and remediate vulnerabilities across your entire application stack—code, APIs, containers, and cloud—in real time before they reach production.
Semantic reasoning builds a live model of your application’s data flows, control paths, and authentication logic, enabling Aptori to simulate realistic usage scenarios and uncover complex business-logic flaws that traditional scanners miss.
Automated remediation delivers precise, AI-generated fix suggestions—via pull-request comments, CI/CD patches, or IDE updates—so developers can apply validated security fixes in minutes rather than days.
Aptori embeds security checks directly into your IDE, GitHub Actions, GitLab CI/CD, Jenkins pipelines, and ticketing systems—ensuring vulnerabilities are caught and fixed as part of your existing development process.
Aptori uncovers a full spectrum of issues, including code-level bugs (e.g., SQL/OS injection, XSS, CSRF), business-logic flaws (BOLA/IDOR), insecure configurations in containers and cloud, hard-coded secrets, and supply-chain risks via SBOM analysis.
Software Bill of Materials (SBOM) management tracks all open-source and third-party components in your code. Aptori automates SBOM generation, continuously flags vulnerable libraries, and helps you remediate supply-chain risks before they impact production.
Aptori continuously maps your security posture to major standards—including PCI DSS 4.0, NIST CSF, HIPAA, SOC 2, ISO 27001, and NIS2—and auto-generates audit-ready evidence to streamline compliance reporting.
SMART is Aptori’s proprietary engine that constructs a detailed, stateful graph of your entire application environment and then exhaustively exercises every meaningful path to identify business-logic vulnerabilities and runtime misconfigurations.
Yes. In addition to out-of-the-box checks, you can define custom rules, severity thresholds, and suppression policies to tailor Aptori’s analysis and alerts to your organization’s risk profile.
Aptori’s Active Runtime Monitoring (Safe Mode) simulates traffic and tests live environments, detecting misconfigurations, release drift, and unauthorized access paths in your cloud assets—including IAM policies, storage buckets, and service endpoints.
Aptori supports all major languages and frameworks commonly used in enterprise environments—such as Java, JavaScript/TypeScript, Python, Go, .NET, Ruby, and popular web and API frameworks—ensuring comprehensive coverage across your tech stack.
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