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ThreatShield is a unified, AI-powered threat modelling platform from zeroshield.ai. It is an advanced threat modelling tool built to perform threat modelling for classic applications , Large Language Models(LLMs) and Model Context Protocol (MCP) Servers .
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Threat Shield implements enterprise-grade security measures to protect your data and ensure the highest level of application security:
To learn more about our paid plans and pricing options, please contact our team:
📧 Email: support@zeroshield.ai
Our team will work with you to find the right plan for your organization's needs.
Get started with a trial account to experience Threat Shield today!
Threat Shield is an advanced threat modelling platform within the ZeroShield platform, designed to give organizations deep, actionable insight into risks across classic applications, codebases, and cutting-edge GenAI/LLM integrations. Threat Shield leverages Large Language Models to perform comprehensive threat modeling, analyzing system architectures, identifying vulnerabilities, and generating actionable security insights. Threat Shield unifies real-time threat modeling, LLM threat modeling, and MCP codebase vulnerability scanning for a complete, compliance-ready view of your security posture.
Empower teams to rapidly identify, understand, and remediate security risks—across all technologies—by automating threat analysis using Large Language Models, vulnerability detection, and compliance mapping. Threat Shield bridges the gap between security, development, and compliance, enabling secure digital innovation.
Threat Shield employs industry-standard security frameworks enhanced by Large Language Models to ensure comprehensive threat analysis:
STRIDE is a threat modeling framework that categorizes security threats into six fundamental types:
DREAD is a risk assessment model that evaluates threats across five dimensions:
Each threat receives a DREAD score (1-10 scale) across all five dimensions, providing a quantitative risk assessment for prioritization and remediation planning.
Automate threat modeling, vulnerability scanning, and compliance.
Real World Scenario: Sarah, a Senior Security Engineer at a fintech startup, is tasked with conducting a comprehensive security assessment of their new payment processing system before the PCI audit next month. Using Threat Shield, she uploads the system architecture diagrams and connects the GitHub repository. The platform's Large Language Models engine performs comprehensive threat modeling analysis. Within hours, she receives a detailed threat model identifying 23 STRIDE threats, including critical API key exposure and authentication bypass vulnerabilities. The DREAD heatmap helps her prioritize the 7 high-risk issues that could fail PCI compliance controls. She exports an audit-ready report showing all findings mapped to PCI DSS requirements, saving weeks of manual analysis and ensuring the system passes the audit on the first try.
Integrate risk analysis into CI/CD and shift security left.
Real World Scenario: Mike, a DevOps Lead at a SaaS company, needs to implement security scanning in their CI/CD pipeline for 15 microservices. He integrates Threat Shield into their GitHub Actions workflow, enabling automatic Large Language Models-powered threat modeling on every pull request. When a developer pushes code with a hardcoded database password, Threat Shield's Large Language Models analysis immediately flags it as a STRIDE Information Disclosure threat with a high DREAD score. The system blocks the merge, provides the developer with an actionable fix, and creates a compliance tracking ticket. This prevents 3 potential security incidents in the first month, reducing their security debt by 40% and accelerating their SOC2 certification timeline.
Secure and validate LLM/GenAI features with real threat modeling security probes.
Real World Scenario: Dr. Lisa Chen, an AI Product Manager at a healthcare technology company, is launching an AI-powered patient consultation chatbot that handles sensitive medical data. Before going live, she runs Threat Shield's threat modeling assessment powered by Large Language Models, which executes 40+ threat modeling security probes. The results reveal high vulnerability to prompt injection attacks that could expose patient data, triggering failed HIPAA compliance controls. Using the detailed LLM-generated remediation suggestions, her team implements input sanitization and context filtering. After re-running the assessment, the risk level drops to "Low" and all compliance checks pass, allowing the chatbot to launch securely and handle thousands of patient interactions without security incidents.
Map vulnerabilities to compliance frameworks and track remediation.
Real World Scenario: Robert, a Compliance Manager at a financial services company, needs to prepare for an annual ISO 27001 audit covering 8 different applications. Instead of manually reviewing hundreds of security controls, he uses Threat Shield to generate comprehensive compliance reports for each system. The platform's LLM automatically maps all identified vulnerabilities to ISO 27001 controls, showing that 15 out of 114 controls need attention. He creates remediation tickets with clear priorities based on DREAD scores and tracks progress through the dashboard. The audit-ready reports demonstrate 95% control coverage, impressing the external auditors and resulting in a clean audit report with only minor observations.
Design secure architectures with instant, actionable feedback.
Real World Scenario: Elena, a Cloud Solution Architect at a global e-commerce company, is designi