Threat Modeling at Scale

Continuous, Portfolio-Wide Application Security

Fork applies the PASTA methodology consistently across every application in your portfolio, so coverage doesn't depend on how many threat modeling experts you have on staff.

One methodology, applied continuously, across every application you ship.

Talk to Our Team

Discuss your portfolio size, team structure, and current coverage gaps

When Coverage Doesn't Scale With the Portfolio

Most threat modeling programs were built for a handful of critical applications, not the hundreds that make up a modern portfolio. As the application count grows, the process doesn't.

Headcount Ceiling

Threat modeling expertise doesn't grow as fast as your application inventory, so most applications never get modeled at all.

Inconsistent Coverage

Manual workshops produce different depth and quality depending on which facilitator ran them and how much time they had.

Shadow Risk

Applications ship without a threat model, and no one is tracking which ones are missing until an incident forces the question.

Stale by Default

The few models that do get built age out the moment the architecture changes, with no mechanism to flag it.

This isn't a training problem. It's a process that was never built to run across hundreds of applications at once.

One Methodology, Applied Consistently Everywhere

Fork automates PASTA's seven stages so every application gets the same rigor at the same speed— under two hours per model, regardless of who's running it.

Define Objectives

Define Attack Surface

Decompose Application

Threat Analysis

Weakness & Vulnerability Analysis

Attack Modeling

Risk & Impact Analysis

As your portfolio grows, Fork applies the same seven stages to the next application, and the next, without diluting quality or waiting on scarce expertise.

You're not scaling a team. You're scaling a process.

Why Ad Hoc Threat Modeling Doesn't Scale

Most programs rely on approaches built for a handful of applications, not a growing portfolio.

Traditional

With Fork

One Expert, One App

Traditional: Coverage depends on a handful of specialists working one application at a time.

With Fork: Every application gets modeled, not just the ones with an available expert.

Point-in-Time Workshops

Traditional: Coverage decays across hundreds of apps as architectures change faster than workshops can keep up.

With Fork: Models stay current automatically as applications evolve, at any scale.

Fragmented Standards

Traditional: Quality and depth vary by facilitator, team, and business unit.

With Fork: Quality gates enforce the same standard across every team and application.

Talk to Our Team

See how Fork covers a full portfolio, not just a few flagship apps

Built on Proven Risk Methodology

Fork is built by the team behind PASTA, the risk-centric methodology created by Tony UcedaVélez and used to assess high-stakes products in healthcare, financial services, and other regulated environments.

One Standard, Applied Across Every Application

Elastic coverage

Model every application in the portfolio without adding headcount to keep pace.

Consistent standards

Quality gates apply the same rigor regardless of team size or facilitator experience.

Centralized visibility

Track threat modeling status and residual risk across the entire application portfolio in one place.

Prioritized by impact

Ranks risk across the portfolio by business impact, not by which team raised its hand first.

Continuous by design

Automation re-engages relevant PASTA stages as each application evolves, at any scale.

Integrations That Scale With You

Fork connects to the AppSec and threat intelligence tools your teams already use, so enriching threat data across a growing portfolio doesn't mean adopting a new stack.

ServiceNow
Automatically sync threats and risk metrics to ServiceNow.: Veracode
Integrate SCA, SAST, and DAST findings into your threat models.: GitLab Secure
Integrate SAST, DAST, SCA, IaC and Secret Detection findings from GitLab Secure into your application threat models.: OpenAI
Powers Fork's AI-assisted threat modeling, including automated documentation analysis and DFD generation.: Tavily
Pulls real-time web intelligence into your threat models to keep context current as new risks emerge.: OpenCTI
Source real-time threat intelligence information from OpenCTI.: Archer
Sync threat insights and risk data, streamlining risk management.: Mandiant
Embed real-time threat intelligence and incident response data into your threat models.: Qualys
Ingest your vulnerability scans and compliance reports.: Tenable
Import continuous vulnerability assessments and asset risk scores.: Checkmarx
Integrate static code analysis results and secure coding insights.: AltorCloud
Import cloud security posture management data and compliance reports.

Ready to Model Every Application?

Talk to our team about scaling threat modeling across your portfolio.

30-minute conversation. No commitment required.