Apiiro

Apiiro is an Agentic Application Security Platform ranked #1 in the Gartner 2025 Magic Quadrant for Application Security Testing.

The platform uses Deep Code Analysis (DCA) and a proprietary Risk Graph™ to provide code-to-runtime context, identifying material changes that introduce risk even when no scanner fires an alert.

Industry Recognition:

• #1 in Gartner Magic Quadrant for AST (2025)
• Leader in IDC MarketScape for ASPM (2025)
• #1 for Innovation in Frost Radar for Global ASPM (2025)

Notable Customers: USAA, BlackRock, Shell, SoFi, Cloudera, Equinix

Key Features

Deep Code Analysis (DCA)

Apiiro’s patented Deep Code Analysis goes beyond syntax-level scanning:

Semantic Understanding

• Builds abstract representation of code behavior
• Understands data flows across function and service boundaries
• Identifies business logic patterns (authentication, payment processing, PII handling)
• Detects when code behavior changes even if syntax changes are minor

Material Change Detection

• Flags changes that affect security-relevant code paths
• Distinguishes high-risk changes from routine refactoring
• Identifies changes to authentication, authorization, and data handling
• Surfaces changes that bypass existing security controls

Risk Pattern Recognition

• Learns from historical vulnerability patterns in your codebase
• Identifies similar patterns in new code
• Flags risky coding practices before scanners detect exploitable vulnerabilities

Risk Intelligence Graph

The Risk Intelligence Graph connects entities across the software development lifecycle:

Graph Entities:
├── Code
│   ├── Repositories
│   ├── Branches and commits
│   ├── Functions and classes
│   └── Data flows
├── Infrastructure
│   ├── Build pipelines
│   ├── Deployment targets
│   └── Runtime environments
├── People
│   ├── Developers
│   ├── Reviewers
│   └── Change approvers
└── Context
    ├── Business criticality
    ├── Data sensitivity
    └── Internet exposure

Queries across this graph surface insights impossible with disconnected tools:

• “Show me all changes to PII handling code in the last 30 days”
• “Which developer has the most unreviewed commits to authentication modules?”
• “What’s the path from this vulnerable dependency to internet-exposed endpoints?”

Code-to-Runtime Traceability

Apiiro tracks code from commit through deployment:

• Links source code to built artifacts
• Maps artifacts to runtime deployments
• Correlates runtime vulnerabilities back to responsible code
• Identifies which code changes fixed (or introduced) production issues

This traceability accelerates incident response and enables precise remediation targeting.

Software Supply Chain Security

Beyond first-party code, Apiiro analyzes supply chain risks:

• Dependency mapping with transitive dependency visibility
• Behavioral analysis of dependency updates
• Detection of dependency confusion risks
• SBOM generation and maintenance
• Open source license compliance

Integration

Apiiro integrates across the development pipeline:

Source Code Management

• GitHub (Cloud and Enterprise)
• GitLab (Cloud and Self-Managed)
• Bitbucket (Cloud and Data Center)
• Azure DevOps

CI/CD Pipelines

• GitHub Actions
• GitLab CI
• Jenkins
• CircleCI
• Azure Pipelines
• Buildkite

Cloud and Runtime

• AWS (Lambda, ECS, EKS)
• Azure (Functions, AKS)
• Google Cloud (Cloud Run, GKE)
• Kubernetes deployments

Security Tools

• Import findings from SAST, DAST, SCA scanners
• Export risk assessments to SIEM platforms
• Ticketing integration with Jira, ServiceNow

GitHub Integration Example

# .github/workflows/apiiro.yml
name: Apiiro Risk Analysis
on:
  pull_request:
    types: [opened, synchronize]

jobs:
  risk-analysis:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0  # Full history for change analysis

      - name: Apiiro Risk Assessment
        uses: apiiro/github-action@v2
        with:
          api_key: ${{ secrets.APIIRO_API_KEY }}
          repository: ${{ github.repository }}
          pr_number: ${{ github.event.pull_request.number }}

      - name: Comment Risk Summary
        if: always()
        uses: apiiro/pr-comment-action@v1
        with:
          api_key: ${{ secrets.APIIRO_API_KEY }}

CLI for Local Development

# Install Apiiro CLI
brew install apiiro/tap/apiiro-cli

# Authenticate
apiiro auth login

# Analyze local changes before committing
apiiro analyze diff HEAD~1

# Get risk score for current branch
apiiro risk score --branch feature/new-auth

# Query the risk graph
apiiro query "changes to payment processing last 7 days"

When to Use Apiiro

Apiiro fits organizations seeking risk-based prioritization beyond traditional vulnerability scanning.

Consider Apiiro when:

• Traditional scanners generate too much noise and teams cannot prioritize effectively
• Security needs business context to understand which findings matter most
• Tracking code risk over time is important for security posture trending
• Developer behavior patterns matter for identifying risky practices
• Complex software supply chains require comprehensive visibility
• Compliance requires evidence of security throughout the development lifecycle
• Security reviews bottleneck development and risk-based triage would accelerate delivery

Apiiro may not be the best fit for:

• Organizations primarily needing vulnerability scanning (use dedicated SAST/DAST/SCA tools)
• Small teams with simple codebases where manual review suffices
• Teams without existing security tool investments to complement Apiiro’s risk analysis

Apiiro works best as a layer on top of existing security tools, correlating their findings with code intelligence to surface what matters most.