Threat Modeling as a Service
Find Threats in Your Architecture Before Attackers Find Them in Your Code.
Professional threat modeling for Indian businesses. STRIDE, PASTA, and proprietary RTMP methodology. Identify architectural threats before they become exploitable vulnerabilities.
What Is Threat Modeling as a Service?
Threat Modeling is the proactive process of identifying potential security threats in your application architecture, system design, or business process — before any code is written or any system is deployed.
Think of it as a security blueprint review. Just as an architect reviews building plans for structural weaknesses before construction begins, threat modeling reviews your system design for security weaknesses before development begins. This is dramatically more cost-effective than finding vulnerabilities in production — fixing a design flaw costs 10-100x less during the design phase than after deployment.
Verentix uses a combination of STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege), PASTA (Process for Attack Simulation and Threat Analysis), and our proprietary RTMP (Real Threat Modeling Protocol) methodology — which specifically accounts for threats relevant to Indian business environments including UPI payment flows, Aadhaar integration, and CERT-In compliance requirements.
Why Your Business Needs This
Most Indian companies discover architectural security flaws only during penetration testing — when the application is already in production and real users are at risk. At that point, fixing the flaw often requires significant re-architecture, which delays releases by weeks or months and costs lakhs in developer time.
Threat modeling identifies these flaws during the design phase. Common architectural threats we identify for Indian businesses include insecure data flow between microservices that exposes sensitive information in transit, authentication designs that do not account for session fixation or token replay attacks, payment processing workflows that lack server-side validation at critical steps, multi-tenant architectures with insufficient isolation between customer data, and API designs that expose internal business logic to external consumers.
For Indian fintech and healthcare companies, threat modeling is particularly valuable because architectural flaws in payment processing or patient data handling can result in both security breaches and regulatory violations.
What You Get
Our Approach
Architecture Discovery (Day 1-2): We work with your architects and developers to understand your system design — components, data flows, trust boundaries, authentication mechanisms, and third-party integrations.
Threat Identification (Day 3-5): Using STRIDE, PASTA, and our proprietary RTMP methodology, we systematically identify threats at every trust boundary, data flow, and component interaction. For Indian businesses, we include threats specific to UPI, Aadhaar, and regulatory compliance.
Risk Assessment (Day 5-7): Each identified threat is assessed for likelihood and business impact. We prioritise threats based on your specific business context — not generic severity ratings.
Mitigation Recommendations (Day 7-10): For each threat, we provide specific design-level mitigations that your development team can implement. These are architectural recommendations, not code patches — they prevent entire classes of vulnerabilities.
Real Results for Indian Businesses
A digital lending platform in Mumbai conducted threat modeling before building their new loan origination system. We identified 18 architectural threats including a critical design flaw in their income verification workflow that would have allowed applicants to bypass document verification entirely. The fix during design took 2 days; fixing it post-deployment would have required 3 weeks of re-engineering.
A healthcare startup in Bengaluru used our threat modeling service before launching their patient portal. We identified data flow threats that would have exposed patient records during API communication between their mobile app and backend — a HIPAA and DPDP Act violation. The architectural fix was a simple change to their API gateway configuration.
An e-commerce platform in Pune saved an estimated ₹35 lakh in post-deployment fixes by conducting threat modeling during the design phase of their new payment processing system.
Frequently Asked Questions
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