Apiiro Review 2026: Deep Code Analysis ASPM Platform

Name: Apiiro
Availability: OnlineOnly

Apiiro ranked #1 for the ASPM use case in Gartner’s 2025 Critical Capabilities for Application Security Testing. The ASPM platform uses Deep Code Analysis (DCA) and a proprietary Risk Graph for code-to-runtime context, catching material changes that introduce risk even when no scanner fires an alert.

Apiiro Risk Graph explorer showing application inventory and risk context

The company raised $135M total, including a $100M Series B in 2022 led by General Catalyst. Customers include USAA, BlackRock, Shell, SoFi, Cloudera, and Equinix. Also recognized as a Leader in the IDC MarketScape for ASPM and ranked #1 for Innovation in the Frost Radar for Global ASPM (both 2025).

What is Apiiro?

Apiiro splits into three phases, each targeting a different stage of the development lifecycle:

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.

The platform is tool-agnostic. It aggregates findings from whatever SAST, DAST, and SCA tools you already run, then layers Risk Graph context on top to figure out which findings actually matter.

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 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:

Query	What 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

XBOM (eXtended Software Bill of Materials) goes past standard SBOM with full visibility into applications and supply chains:

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

AutoFix agents generate fixes across design, code, and delivery phases. The Guardian Agent watches AI-generated code for security problems before it hits production, applying the same DCA and risk context to code written by Copilot, Cursor, or other AI assistants.

Integrations

Apiiro integrations across the development and security stack

Source code management

GitHub

GitLab

Bitbucket

Azure DevOps

CI/CD pipelines

GitHub Actions

GitLab CI

Jenkins

CircleCI

Azure Pipelines

Buildkite

Cloud and runtime

AWS

Azure

GCP

Kubernetes

Ticketing and SIEM

Jira

ServiceNow

Getting started

Connect your SCM — Link GitHub, GitLab, Bitbucket, or Azure DevOps. Apiiro needs full commit history for Deep Code Analysis.

Apiiro builds the Risk Graph — The platform maps your repositories, infrastructure, team ownership, and business context into a queryable graph.

Connect existing scanners — Import findings from your SAST, DAST, and SCA tools. Apiiro applies Risk Graph context to prioritize them.

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. 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. It sits on top of your existing security tools and uses code intelligence to filter signal from noise.

Best for

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

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 ranked #1 for the ASPM use case in Gartner’s 2025 Critical Capabilities for AST. It 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.

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 monitors AI-generated code for security problems before it reaches production. It applies the same Deep Code Analysis and risk context to code written by AI assistants, catching issues that standard scanners might miss in generated code.