Inventory | SBOM | Risk Questionnaires | Threat Models
Log4j Prevention | Behavioral Risk Score
Prevent API vulnerabilities | PII Exposure
Secrets in Code Validation | Block at the PR
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Automatically map application and infrastructure cloud risks back to the source code repository to a specific line of code, and tie risks to code owners to trigger contextual remediation workflows and cut MTTR by 90%.
Code to Runtime Mapping
Application risks get more and more distributed across code, open source packages, APIs, CI/CD servers, and cloud infrastructure. The Apiiro Risk Graph maps your entire software development pipeline and connects risks in runtime back to the source code, and risks in source code to runtime to help developers and security teams proactively fix critical risks with internet exposure.
Triaging of Code and Cloud Risks
Developers and Application Security teams are overwhelmed with alerts from multiple siloed tools. You can now cut the backlog as well as save time and resources by relying on the full context generated by the Apiiro Risk Graph, which provides visibility, de-duplicates alerts, identifies root cause and automatically triggers contextual workflows to the code owners.
Contextual Risk Remediation
Fixing risks is getting more challenging as cloud application risks are distributed with different ownership. The missing part is context. Apiiro uses next-gen code, binary and text analysis to deeply understand code, architecture and attack surface. It then creates a contextual Risk Graph to tie every risk to code owner and provide actionable context with code snippets so developers can fix it in an instant.
Runtime Log4j Remediation
Gain visibility and context on all of the code and cloud components that make up your application as well as who the developers are so that you can quickly identify and remediate Log4j and other critical vulnerabilities. The Log4Shell (Log4j) vulnerability took months to fix because of the lack of visibility and context of where it was in the codebase and then mapping it to where it was running in production.
Containers Vulnerability Remediation
Automatically map each line of code to the container image it runs in and to the Kubernetes cluster orchestrating that container. Map the Kubernetes architecture. Ingest vulnerabilities from CSPM tools and leverage the context from Apiiro Risk Graph to de-duplicate and tie it back to the code repository and to the code owner, and trigger a remediation workflow.
Kurt Boberg
Lead Application Security
“Chegg uses Apiiro to prioritize AppSec human hours and remediate significant cloud-native application risks early in the SDLC. With ~400 developers (and growing), we simply cannot track and remediate sinificant risks by hand”
Practical guide
The rise of cloud-native applications has led to applications and infrastructure to be intrinsically intertwined. A a result, an effective understanding of risk requires connecting the dots between the applications and their infrastructure, from cloud to code.
Blog post
Apiiro can now connect app risks in runtime back to the source code to proactively fix critical risks and reduce the remediation time.
Build an accurate application inventory, map the application attack surface and assess risks
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