What is threat modeling at scale?

Threat modeling at scale means applying the same rigor and methodology to every application in a portfolio, not just a handful of flagship apps. Instead of one-off workshops for a few critical systems, Fork applies PASTA's seven stages consistently across hundreds of applications, so coverage isn't determined by which apps happen to get attention.

How do you threat model hundreds of applications without adding headcount?

Fork automates PASTA's seven stages so each threat model takes under two hours regardless of who runs it, removing the headcount ceiling that limits manual programs. Because quality gates enforce the same standard on every application, teams can cover a growing portfolio without scaling the number of threat modeling experts on staff.

How does continuous threat modeling differ from point-in-time workshops?

Point-in-time workshops produce a model that goes stale the moment the architecture changes, since nothing flags when it's out of date. Continuous threat modeling automatically resurfaces the relevant PASTA stages as an application evolves, so the model stays current across its lifecycle instead of becoming a static, one-time snapshot.

Can PASTA be applied at enterprise scale?

Yes. PASTA's seven stages scale in both directions, working for a single application review or a full enterprise portfolio. Fork enforces the same quality gates and residual risk formula on every model, so enterprise-scale deployment doesn't mean diluting the methodology, fragmenting standards across teams, or lowering the bar as more applications get added.

How many applications can one team model with Fork?

There's no fixed limit built into the methodology itself. Fork Enterprise supports up to 500 threat models on its base tier and scales to 2,000 models on higher tiers, all covered by the same team without added headcount. Coverage is limited by licensing tier, not by how many applications a security team can physically review.

Enterprise Threat Modeling at Scale

The Threat Modeling Platform for Continuous, Portfolio-Wide Security

Fork is the threat modeling platform that 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 Platform, 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.

Enterprise Standards, 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.

Enterprise Governance: SSO, RBAC, and Audit Logs

Fork Enterprise is built for organizations that need more than a working threat model — it needs to pass procurement, security review, and compliance audits too.

SSO with SAML or OIDC: Fits directly into your existing identity provider and access policies.
Granular Access Controls and Permissions: Role-based access keeps the right people looking at the right models.
Audit Logs and Edit History: Every change is tracked, so reviewers can see who touched what and when.
Unlimited Team Members and Organizational Units: Structure access around how your organization is actually organized.

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.: Checkmarx
Integrate static code analysis results and secure coding insights.: 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.: AltorCloud
Import cloud security posture management data and compliance reports.

Frequently Asked Questions

What is threat modeling at scale?: Threat modeling at scale means applying the same rigor and methodology to every application in a portfolio, not just a handful of flagship apps. Instead of one-off workshops for a few critical systems, Fork applies PASTA's seven stages consistently across hundreds of applications, so coverage isn't determined by which apps happen to get attention.
How do you threat model hundreds of applications without adding headcount?: Fork automates PASTA's seven stages so each threat model takes under two hours regardless of who runs it, removing the headcount ceiling that limits manual programs. Because quality gates enforce the same standard on every application, teams can cover a growing portfolio without scaling the number of threat modeling experts on staff.
How does continuous threat modeling differ from point-in-time workshops?: Point-in-time workshops produce a model that goes stale the moment the architecture changes, since nothing flags when it's out of date. Continuous threat modeling automatically resurfaces the relevant PASTA stages as an application evolves, so the model stays current across its lifecycle instead of becoming a static, one-time snapshot.
Can PASTA be applied at enterprise scale?: Yes. PASTA's seven stages scale in both directions, working for a single application review or a full enterprise portfolio. Fork enforces the same quality gates and residual risk formula on every model, so enterprise-scale deployment doesn't mean diluting the methodology, fragmenting standards across teams, or lowering the bar as more applications get added.
How many applications can one team model with Fork?: There's no fixed limit built into the methodology itself. Fork Enterprise supports up to 500 threat models on its base tier and scales to 2,000 models on higher tiers, all covered by the same team without added headcount. Coverage is limited by licensing tier, not by how many applications a security team can physically review.