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Apiiro

Apiiro

NEW
Category: ASPM
License: Commercial
Suphi Cankurt
Suphi Cankurt
+7 Years in AppSec
Updated April 14, 2026
4 min read
Key Takeaways
  • Customers include USAA, BlackRock, Shell, SoFi, Cloudera, and Equinix; $135M in total funding with a $100M Series B led by General Catalyst.
  • Deep Code Analysis builds an abstract representation of code behavior, tracing data flows across function and service boundaries to detect material changes that shift risk.
  • Risk Graph connects code, infrastructure, and people with business context — queryable in natural language (e.g., 'Show me all changes to PII handling code in the last 30 days').
  • Tool-agnostic platform aggregates findings from existing SAST, DAST, and SCA tools, layering risk context to prioritize which findings actually matter.
  • Guardian Agent intercepts developer prompts sent to AI coding assistants (Copilot, Cursor) and injects security context before code is generated — preventing insecure code from being written in the first place.

Apiiro is an ASPM platform that uses Deep Code Analysis (DCA) and a proprietary Risk Graph to understand code behavior and prioritize risk from code to runtime. Unlike traditional SAST tools that scan for known vulnerability patterns in source code, Apiiro flags material changes that shift risk even when no scanner fires an alert — because it understands what the code does, not just what it looks like.

Apiiro Risk Graph explorer showing application inventory and risk context

Apiiro raised $135M in total funding, including a $100M Series B in 2022 led by General Catalyst. Customers include USAA, BlackRock, Shell, SoFi, Cloudera, and Equinix.

What is Apiiro?

Apiiro is a risk-based ASPM platform that sits on top of existing security scanners and uses code intelligence to separate real risk from noise. It splits the development lifecycle into three phases:

Design
Threat modeling and risk detection before coding starts. Contextual questionnaires replace manual security reviews.
Develop
Secrets detection, open source security, API inventory, SAST, and sensitive data detection. All findings get Risk Graph context.
Deliver
SCM and CI/CD pipeline protection with release risk assessment. Software supply chain security across the build process.

Apiiro is tool-agnostic — it aggregates findings from whatever SAST, DAST, and SCA tools you already run, then layers Risk Graph context on top to determine which findings actually matter based on reachability, business criticality, and internet exposure. It does not replace your existing scanners; it makes them more useful.

Key features

Deep Code Analysis

Deep Code Analysis builds an abstract representation of how code actually behaves, not just what it looks like syntactically.

It traces data flows across function and service boundaries, spots business logic patterns (authentication, payment processing, PII handling), and flags behavioral changes even when the diff looks minor.

Apiiro material change detection analyzing developer behavior and code risk

Material Change Detection separates high-risk changes from routine refactoring. A rename that touches 200 files won’t trigger the same response as a 3-line change to your authentication flow.

How DCA differs from traditional SAST

Traditional SAST scans for known vulnerability patterns in source code. Apiiro’s DCA understands code behavior and flags material changes that shift risk, even when no vulnerability pattern matches.

A new API endpoint that exposes PII gets flagged based on what it does, not because it matches a regex.

Risk Graph

The Risk Graph is Apiiro’s queryable knowledge graph that connects code, infrastructure, and people with business context. It ties together code (repositories, branches, commits, functions, data flows), infrastructure (build pipelines, deployment targets, runtime environments), and people (developers, reviewers, approvers) with business context like data sensitivity and internet exposure.

Apiiro risk prioritization dashboard with automated remediation workflows

You can query it in natural language:

QueryWhat it returns
“Changes to PII handling code in the last 30 days”All commits touching sensitive data flows, with authors and review status
“Path from this CVE to internet-exposed endpoints”Dependency chain showing if the vulnerable code is reachable from production
“Unreviewed commits to authentication modules”Commits to auth code that bypassed code review, ranked by risk

Software supply chain security

Apiiro extends standard SBOM with its XBOM (eXtended Software Bill of Materials), which adds behavioral analysis on top of dependency inventory. Where a standard SBOM lists what packages are present, XBOM detects suspicious changes in dependency updates and flags dependency confusion risks. Specific capabilities include:

  • Transitive dependency mapping across the full dependency tree
  • Behavioral analysis of dependency updates (detecting suspicious changes)
  • Dependency confusion risk detection
  • License compliance tracking
  • SBOM generation and maintenance
Apiiro software supply chain risk detection and XBOM visibility

AI agents

Apiiro’s Guardian Agent addresses a gap that traditional AppSec tools miss entirely: insecure code generated by AI coding assistants. It intercepts developer prompts sent to tools like GitHub Copilot or Cursor and injects security context, threat models, and compliance policies before any code is generated. The result is that insecure patterns are blocked at the prompt layer rather than caught in a scan after the fact. AutoFix agents handle remediation across the design, code, and delivery phases.

Integrations

Apiiro integrations across the development and security stack
Source code management
GitHub GitHub
GitLab GitLab
Bitbucket Bitbucket
Azure DevOps Azure DevOps
CI/CD pipelines
GitHub Actions GitHub Actions
GitLab CI GitLab CI
Jenkins Jenkins
CircleCI CircleCI
Azure Pipelines Azure Pipelines
Buildkite Buildkite
Cloud and runtime
AWS AWS
Azure Azure
GCP GCP
Kubernetes Kubernetes
Ticketing and SIEM
Jira Jira
ServiceNow ServiceNow

Getting started

1
Connect your SCM — Link GitHub, GitLab, Bitbucket, or Azure DevOps. Apiiro needs full commit history for Deep Code Analysis.
2
Apiiro builds the Risk Graph — The platform maps your repositories, infrastructure, team ownership, and business context into a queryable graph.
3
Connect existing scanners — Import findings from your SAST, DAST, and SCA tools. Apiiro applies Risk Graph context to prioritize them.
4
Review prioritized risks — See findings ranked by actual business impact. Use natural language queries to explore the Risk Graph.

When to use Apiiro

Apiiro is built for enterprises already drowning in scanner findings who need risk-based prioritization, not more alerts. If you’re tracking code risk over time, managing complex supply chains, or need compliance evidence across the development lifecycle, that’s where Apiiro earns its keep.

The difference between Apiiro and a standalone ASPM tool is code intelligence depth. Most ASPM platforms aggregate findings and apply static metadata (severity, asset criticality) to prioritize. Apiiro uses Deep Code Analysis to understand behavioral changes in the code itself, so prioritization reflects actual risk rather than scanner severity scores.

Best for
Enterprises with existing security tool investments that need risk-based prioritization, material change detection, and code-to-runtime context across large codebases.

Pricing requires a sales conversation. Median annual contract: $55,000 (range: $14,000–$87,000)

Smaller teams with simple codebases where manual review still works, or organizations that need scanning capabilities rather than aggregation, should look at tools like Aikido or Jit instead.

Apiiro security risk dashboards with posture tracking and reporting
Note: Raised $135M total funding ($100M Series B in 2022 led by General Catalyst).

Frequently Asked Questions

What is Apiiro?
Apiiro is an application security posture management platform that uses Deep Code Analysis and a proprietary Risk Graph to provide code-to-runtime context, catching material code changes that introduce risk even when no scanner fires an alert. Customers include USAA, BlackRock, Shell, and SoFi.
How does Apiiro's Risk Graph work?
The Risk Graph connects code repositories, functions, and data flows to build pipelines, deployment targets, and runtime environments. It maps developer identities, business criticality, and internet exposure. You can query it in natural language, for example: ‘Show me all changes to PII handling code in the last 30 days.’
What is Deep Code Analysis?
Deep Code Analysis (DCA) is Apiiro’s patented technology that builds an abstract representation of code behavior rather than just scanning syntax. It traces data flows across function and service boundaries and detects behavioral changes even when the code diff looks minor.
Does Apiiro replace existing security scanners?
No. Apiiro is tool-agnostic and aggregates findings from whatever SAST, DAST, and SCA tools you already run. It layers Risk Graph context on top to prioritize which findings actually matter based on reachability, business criticality, and exposure.
What is Apiiro's Guardian Agent?
The Guardian Agent intercepts developer prompts sent to AI coding assistants like GitHub Copilot or Cursor and dynamically injects security guidelines, threat models, and compliance policies before code is generated. This Secure Prompts approach prevents insecure code from being written rather than scanning for problems after the fact.

* Pricing data from Vendr — anonymized contract values from real buyer transactions.