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Context-Aware Threat Modeling Automation
73 Signals

Context-Aware Threat Modeling Automation

A SaaS tool that turns designs, code, and infrastructure changes into prioritized threat models, risk assessments, and mitigation plans.

Added Jun 7, 2026

Cybersecurity
Application Security
Risk Management
Opportunity Score
Opportunity: Medium (63%)
Evidence Strength
Vol: 50%
Urg: 50%
Spec: 100%
Market Analysis
medium
$ high
The Problem

Security teams are expected to run threat modeling and risk analysis continuously across applications, infrastructure, high-value systems, and AI-enabled products. In practice, this work is often manual, inconsistent, and difficult to keep updated as architectures, code, infrastructure, and the AI threat landscape change.

Potential Solution

The product ingests architecture docs, pull requests, infrastructure changes, vulnerability data, and policy requirements to generate living threat models and risk assessments. It maps emerging attack techniques to affected systems, recommends actionable controls, escalates critical risks with impact evidence, and keeps audit-ready evidence tied to issue closure.

Why Now?

Job postings show threat modeling shifting from occasional security review to routine, automated practice, especially as agentic AI creates new context-aware security risks. Companies are hiring for this capability across application security, AI security, incident response, and enterprise data protection.

Showing 1-20 of 73 signals

Job ads
Aug 25, 2026
starburst
Senior Application Security Engineer

Offensive security experience and a drive to automate it: red-teaming, or threat hunting against your own products. Threat modeling experience on distributed systems and data platforms, and a strong bias toward automation, including using AI to scale security work.

Podcasts
Aug 24, 2026
CCT 367: Threat Modeling and the AI Agent That Breached Hugging Face (CISSP Domain 1.10)

CISSP Cyber Training Podcast - CISSP Training Program Now, this is visual, agile, and simple threat modeling. This was built for enterprise scale and DevOps pipelines, and its distinguishing feature is that it has it separates application threat models, which is developer facing, from operational threat models, which is infrastructure facing. Some key trigger words to think about. Scales across hundreds of teams, integrates into CICD pipeline, agile, again, developer wording. Trike, this is built around the requirements of a threat model that assigns each asset actor pair an acceptable level of risk. Trigger words, acceptable risk defined per asset. Auditability, repeatability, that would be trike.

Job ads
Aug 21, 2026
opswat
AI Security Engineer

Develop agentic AI workflows and tools that automate repeatable AppSec activities such as application intake, evidence collection, control checks, threat-model preparation, finding enrichment, risk summarization, remediation guidance, and ticket/workflow creation.

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Job ads

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Podcast evidence

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Google Trends

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