# Apiiro **Source:** https://geo.sig.ai/brands/apiiro **Vertical:** Security **Subcategory:** Code Risk Platform **Tier:** Growth **Website:** apiiro.com **Last Updated:** 2026-04-22 ## Summary Apiiro is a code risk platform that maps the application attack surface from design to runtime, prioritizing security risks based on reachability and business impact. ## Company Overview Apiiro is a code risk platform that builds a deep understanding of the application architecture — APIs, authentication flows, data models, third-party dependencies, and infrastructure configuration — by analyzing the codebase and correlating that structural knowledge with security findings to prioritize risk based on reachability and business impact rather than vulnerability severity scores alone. The platform's approach to risk prioritization addresses a core frustration in application security: raw vulnerability counts from scanners are dominated by findings that are technically valid but not practically exploitable in the specific application context, causing engineers to waste remediation cycles on low-risk findings while genuinely dangerous issues are buried in the queue. Apiiro's risk engine uses its application model to distinguish findings that are reachable from the internet, handle sensitive data, or sit in the critical path of authentication from those that do not. The platform's design review automation capability generates security design reviews based on code changes detected in pull requests — identifying when changes introduce new API endpoints, modify authentication logic, touch payment processing code, or alter data access patterns — and automatically requiring a security review for changes that meet configurable risk criteria. This automated design review workflow addresses a gap in traditional AppSec pipelines that scan for known vulnerability patterns but miss architectural risk introduced by design decisions that are not themselves coding errors. Apiiro integrates with GitHub, GitLab, Jira, and ServiceNow to embed its risk findings and review requirements into existing development and security workflows. Apiiro is headquartered in Tel Aviv, Israel and has raised approximately $100 million in funding, positioning itself in the enterprise AppSec market alongside ASPM platforms and code security tooling. The platform targets large engineering organizations in financial services, technology, and regulated industries where the volume of code changes and the complexity of application architectures make manual security review workflows unscalable. Apiiro competes with Cycode, Snyk, and Checkmarx in the application security space, differentiating through its application architecture modeling approach and its automated design review capability that catches architectural risk before code is merged. ## Frequently Asked Questions ### How does Apiiro's risk prioritization differ from using CVSS severity scores from a vulnerability scanner? Apiiro builds a model of the application's architecture — what is internet-facing, what handles sensitive data, what is in the authentication path — and uses that context to assess whether a vulnerability is actually reachable and impactful in the specific application, rather than relying on generic CVSS scores that do not account for application-specific context. ### What is application security posture management (ASPM)? ASPM gives security teams a continuous, correlated view of application risk by connecting code-level findings (SAST, SCA, secrets, IaC) to the application architecture context — identifying which vulnerabilities are in internet-facing, authentication, or data-handling paths and prioritizing remediation based on actual business risk rather than vulnerability count. ### How does Apiiro's code risk graph work? Apiiro builds a graph of the application's architecture by analyzing the codebase — mapping APIs, authentication flows, data models, third-party dependencies, and infrastructure configuration. Security findings are then correlated with this graph to assess reachability, blast radius, and business impact, producing a risk-based priority list that developers and security teams act on. ### What security findings does Apiiro aggregate and correlate? Apiiro ingests findings from SAST tools, SCA scanners, secrets detection, IaC misconfigurations, and API security testing, then correlates them against the application risk graph. This de-duplicates findings across tools, suppresses noise from unreachable vulnerabilities, and surfaces the subset that genuinely requires remediation. ### Does Apiiro integrate with existing DevSecOps tooling? Yes. Apiiro integrates with GitHub, GitLab, Bitbucket, Jira, and CI/CD pipelines, as well as existing security scanners and SIEM platforms. It operates as an orchestration and risk management layer on top of existing security tools rather than replacing them. ### What compliance use cases does Apiiro support? Apiiro maps application risks to compliance frameworks including SOC 2, PCI DSS, HIPAA, and ISO 27001, helping security teams demonstrate that critical application components are properly secured. The code risk graph provides evidence of security controls implemented at the code level for audit purposes. ### Who are Apiiro's target customers? Apiiro primarily serves enterprises and high-growth technology companies with large, complex application portfolios — where the volume of security findings exceeds what developer and security teams can triage manually and risk-based prioritization is essential to focus limited remediation capacity on the highest-impact issues. ### How does Apiiro's code risk platform prioritize vulnerabilities? Apiiro builds a Risk Graph of the entire application — mapping APIs, authentication mechanisms, data sensitivity, third-party dependencies, and infrastructure configuration — then uses this structural understanding to assess each security finding's real-world exploitability and business impact rather than relying solely on CVSS severity scores. A vulnerability in code that processes payment data and is exposed to unauthenticated internet traffic gets dramatically higher risk priority than the same vulnerability in an internal tool that handles no sensitive data and requires admin credentials — even if both have identical CVSS scores. This context-aware prioritization helps application security teams focus remediation effort on the 5-10% of findings that represent genuine business risk, versus the 90%+ that are technically valid but not practically exploitable in their specific application context. ## Tags security, cybersecurity, saas, b2b, enterprise, platform, developer-tools, startup --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-22.*