What is automated threat modeling?

Automated threat modeling uses AI to identify, classify, and prioritize security threats across your infrastructure and applications. Aristiun's Unified Threat Workbench powered by Ayurak AI lets you upload diagrams, collaborate in real time, and generate secure architectures with AI copilots. It automates STRIDE, PASTA, LINDDUN, and MAESTRO methodologies to continuously map your threat landscape against 340+ compliance frameworks.

Modern GRC (Governance, Risk, and Compliance) replaces legacy spreadsheet-based compliance with AI-powered automation. Aristiun's modern GRC platform provides real-time compliance scoring, automated evidence collection, cross-framework control mapping, and continuous monitoring across 340+ standards including SOC 2, ISO 27001, HIPAA, GDPR, and DORA.

How does Aristiun handle AI Governance and EU AI Act compliance?

Aristiun provides comprehensive AI governance covering the EU AI Act, NIST AI RMF, ISO 42001, and ISO 23894. The platform automates AI risk classification, model inventory management, bias monitoring, transparency reporting, and evidence collection to ensure your AI systems comply with global AI regulations.

How many compliance frameworks does Aristiun support?

Aristiun supports 340+ security and compliance frameworks including SOC 2, ISO 27001, HIPAA, GDPR, DORA, CMMC, PCI DSS, HITRUST CSF, NIST CSF, NIST 800-53, FedRAMP, CIS Controls, CCPA, EU AI Act, ISO 42001, and many more. The platform provides cross-framework control mapping to eliminate duplicate work.

How do I integrate threat modeling into CI/CD?

You'll need a tool with CI/CD plugins or CLI support. Add a threat model scan step to your pipeline config (works with GitHub Actions, GitLab CI, Azure DevOps, or Jenkins). Then set severity gates so PRs or deployments get blocked when critical threats show up. Aristiun has native integrations for all the major CI/CD platforms if you want a turnkey setup.

What is shift-left security?

Shift-left security means moving security work earlier in the development lifecycle, from post-deployment firefighting to design and development phases. When you threat model during development, you catch architectural flaws before they become expensive production vulnerabilities. It's cheaper to fix a misconfigured trust boundary in a PR than in a live incident.

How does IaC threat analysis work?

It reads your IaC files (Terraform, CloudFormation, Kubernetes manifests) and checks the declared infrastructure against known threat patterns. For example, it flags public S3 buckets, overly permissive security groups, missing encryption, and insecure container configurations. The key difference from runtime scanning is that you catch these issues before anything gets deployed.

What tools support threat modeling as code?

The main options are Aristiun (full platform with CI/CD integration and IaC parsing), pytm (Python-based, good for scripting), Threagile (YAML-based), and TicTaaC (threat-in-code). Aristiun stands out with architecture-aware analysis, multi-methodology support (STRIDE, PASTA, LINDDUN), and automated remediation playbooks. The open-source tools are great for getting started but require more manual work at scale.

How do I automate STRIDE in a CI/CD pipeline?

Define your architecture in a machine-readable format like YAML or JSON, then add a CI/CD step that runs STRIDE analysis on every commit. Aristiun's CLI walks through each component and data flow in your architecture, checking it against all six STRIDE categories (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege). Results show up directly in your PR.

What is continuous threat modeling?

It means the threat model updates itself whenever the architecture, codebase, or infrastructure changes. Instead of doing a threat modeling workshop once a quarter, the model regenerates on every commit. New threats from code changes, dependency updates, or infrastructure modifications get flagged automatically. The threat model is always current, not a snapshot from three months ago.

Can threat models be version controlled?

Yes, and that's one of the biggest wins. When threat models are defined as code (YAML, JSON, or programmatic definitions), they live in Git right next to your source code. You get diff-based reviews, PR approvals for threat model changes, and a full audit trail. You can trace exactly how your threat landscape changed over time, commit by commit.

Developer Guide

Threat Modeling as Code — Shift Left Security for DevSecOps

Integrate automated threat modeling into your CI/CD pipeline. Generate threat models from code, IaC, and architecture diagrams. Every commit, every PR, every deployment.

What is Threat Modeling as Code?

Threat modeling as code is the practice of treating threat models as machine-readable, version-controlled artifacts that evolve alongside your codebase. Just as Infrastructure as Code (IaC) transformed how we manage infrastructure, threat modeling as code transforms how we manage security analysis. It builds on established methodologies like STRIDE and PASTA.

Instead of static Word documents or whiteboard photos that become outdated by the next sprint, threat models are defined in YAML, JSON, or programmatic definitions. They're automatically generated, validated, and updated as part of your development workflow.

Key Principles

Threat models are code, not documents

Security analysis runs on every commit

Threat models are version-controlled in Git

Pipeline gates enforce security thresholds

Architecture changes trigger re-analysis

Remediation is automated, not manual

Why Traditional Threat Modeling Fails DevSecOps

Traditional threat modeling was designed for waterfall. Here's why it breaks in modern DevSecOps environments, and how code-based threat modeling solves each problem.

Manual and slow, often taking days to complete

Automated scans complete in seconds on every commit

Outdated by the next sprint

Threat models auto-update with architecture changes

Requires dedicated security experts

Any developer can define and review threat models

Doesn't scale across microservices

Scales to hundreds of services with declarative definitions

No integration with developer tooling

Native CI/CD, Git, and IDE integration

Results in static, unactionable documents

Generates actionable findings with remediation playbooks

How Aristiun Implements Threat Modeling as Code

Five core capabilities that make threat modeling a first-class citizen in your development workflow.

YAML / JSON

Architecture-as-Code

Define your system architecture in YAML or JSON. Aristiun generates detailed, architecture-specific threat models from declarative definitions. Skip the diagram sessions and manual guesswork.

Version Controlled

Git-Native Threat Models

Threat models live alongside your source code. Version-controlled, diff-able, and PR-reviewable. Every change is tracked, every decision is auditable.

Automated

CI/CD Pipeline Integration

Runs a scan on every commit and blocks PRs that introduce critical threats. Deployment gates enforce threat model approval, with zero manual intervention.

Multi-Platform

IaC Analysis

Parse Terraform, CloudFormation, Kubernetes manifests, and Docker Compose files. Identify security threats based on actual infrastructure configuration, not assumptions.

REST API

API-First

REST API for programmatic threat model generation. Works with any toolchain, from custom scripts to enterprise orchestration platforms.

Pipeline Integration Examples

Drop-in configurations for the most popular CI/CD platforms. Add automated threat modeling to your pipeline in minutes.

yaml

name: Threat Model Scan
on: [push, pull_request]

jobs:
  threat-model:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Run Aristiun Threat Model
        uses: aristiun/threat-model-action@v2
        with:
          config: ./threat-model.yaml
          fail-on: critical,high
          output: threat-report.json

      - name: Upload Report
        uses: actions/upload-artifact@v4
        with:
          name: threat-report
          path: threat-report.json

Infrastructure as Code Threat Analysis

Aristiun parses your infrastructure definitions and identifies security threats based on actual configuration, before anything is deployed. Pair this with architecture-aware code security scanning for full coverage.

🏗️

Terraform

Detects: Misconfigured security groups, public S3 buckets, missing encryption at rest, overly permissive IAM roles

☁️

CloudFormation

Detects: Unencrypted RDS instances, open CIDR blocks, missing VPC flow logs, insecure Lambda permissions

⎈

Kubernetes

Detects: Privileged containers, host network access, missing network policies, insecure service accounts

🐳

Docker Compose

Detects: Exposed ports, root containers, bind-mounted secrets, missing resource limits

yaml

# threat-model.yaml - IaC scanning configuration
sources:
  terraform:
    paths: ["./infra/terraform/**/*.tf"]
    scan_modules: true
  kubernetes:
    paths: ["./k8s/**/*.yaml"]
    namespaces: ["production", "staging"]
  docker:
    paths: ["./docker-compose*.yml"]

rules:
  fail_on_severity: critical
  ignore:
    - ARISTIUN-IAC-042  # Known exception: dev S3 bucket
  custom_policies:
    - path: ./policies/custom-rules.rego

Aristiun vs Other Threat-Modeling-as-Code Tools

How Aristiun compares to pytm, TicTaaC, and Threagile across the capabilities that matter for DevSecOps teams.

Feature	pytm	TicTaaC	Threagile
Architecture-aware analysis	—	—
Zero-config setup	—	—	—
STRIDE + PASTA + LINDDUN		—	—
CI/CD native integration	—		—
IaC parsing (Terraform, K8s)	—	—	—
Remediation playbooks	—	—	—
API-first design	—
Compliance mapping	—	—	—
Drift detection	—	—	—
PR-level gating	—		—

Continuous Threat Modeling

Threat models shouldn't be point-in-time snapshots. With Aristiun, threat models are living artifacts that stay current automatically.

Auto-Update on Changes

When your architecture changes (new services, modified data flows, updated dependencies), the threat model regenerates automatically. No manual re-analysis needed.

Drift Detection

Aristiun continuously compares the deployed architecture against the declared threat model. When drift is detected, like a new port opened or an unapproved service deployed, you're alerted immediately.

New Threat Notifications

When new CVEs are published or new attack patterns emerge that affect your architecture, Aristiun updates your threat model and notifies the relevant team via Slack, email, or webhook.

Continuous Monitoring Workflow

Code Commit

Architecture Scan

Threat Analysis

Drift Check

Gate Decision

Deploy / Block

Frequently Asked Questions

Start Threat Modeling as Code

Integrate automated threat modeling into your pipeline today. Your first scan is free. See every threat in your architecture in under 60 seconds.