Application Threat Modeling Services

Find Threats Before They Find You

Threat modeling is the most cost-effective security activity you can perform. By systematically analyzing your application architecture for potential threats during design and development, you catch security issues before code is written — when fixes are 6-10x cheaper than post-deployment remediation.

CVEPulse delivers threat modeling using the STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege), producing not just threat documentation but actionable SIEM detection rules that your SOC can deploy immediately.

What We Deliver

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STRIDE Threat Analysis

Systematic threat identification using the STRIDE framework. Data flow diagrams, trust boundary analysis, attack tree generation, and threat prioritization by likelihood and impact.

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Custom SIEM Use Cases

Every identified threat maps to a detection rule. Custom use cases for Microsoft Sentinel (KQL), Splunk (SPL), IBM QRadar, LogRhythm, and Elastic Security. Deploy detection immediately after threat modeling.

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API & Microservices Security

Threat modeling for REST, GraphQL, and gRPC APIs. Microservices architecture analysis including service mesh security, inter-service authentication, and container escape scenarios.

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Cloud Application Security

Threat modeling for cloud-native applications on AWS, Azure, and GCP. Multi-tenant security, serverless function security, identity federation threats, and cloud storage exposure analysis.

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SDLC Integration

Embed threat modeling into your development lifecycle. Developer training, CI/CD security gates, and automated threat model updates as architecture evolves. Shift-left security at scale.

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Compliance Mapping

Map threat model findings to regulatory requirements: PCI DSS 4.0, HIPAA, SOC 2, ISO 27001. Demonstrate to auditors that security-by-design is part of your development process.

From Threats to Detections

Most threat modeling engagements produce a document that sits on a shelf. CVEPulse delivers detection rules alongside every threat. When we identify an SQL injection threat in your API gateway, you get a Sentinel KQL rule that detects that specific attack pattern. When we find an elevation-of-privilege risk in your authentication flow, you get a Splunk correlation search. Threat modeling that directly improves your SOC's detection coverage.

Frequently Asked Questions

What is the STRIDE threat modeling methodology?

STRIDE is a structured framework for identifying security threats: Spoofing (pretending to be something else), Tampering (modifying data), Repudiation (denying actions), Information Disclosure (exposing data), Denial of Service (making systems unavailable), and Elevation of Privilege (gaining unauthorized access). CVEPulse applies STRIDE systematically to your application architecture.

Which SIEM platforms do you create detection rules for?

We create custom detection rules for Microsoft Sentinel (KQL queries), Splunk Enterprise and Cloud (SPL searches), IBM QRadar (custom rules), Elastic Security (detection rules), and LogRhythm. Rules are production-ready and tested against sample data.

How long does a typical threat modeling engagement take?

A single application threat model typically takes 2-4 weeks depending on architecture complexity. This includes data flow analysis, STRIDE threat identification, risk assessment, mitigation recommendations, and SIEM detection rule development.

Can threat modeling be integrated into our CI/CD pipeline?

Yes. We help organizations integrate threat modeling into their SDLC — including developer training, threat model templates for common patterns, automated architecture review gates, and continuous threat model updates as your application evolves.