Identify Threats Before Writing a Single Line of Code
Structured threat modeling using STRIDE, PASTA, and Attack Trees to identify security threats early in the SDLC, reducing remediation costs by up to 100x compared to production fixes.
Why Threat Modeling Matters Now
The threat landscape is evolving rapidly. These are the risks your organization faces without proper threat modeling assessment.
Design-Level Security Flaws
Flaws in the application architecture that allow common vulnerabilities to persist despite secure coding efforts.
Trust Boundary Violations
Mismanagement of data flows between untrusted and trusted zones, leading to privilege escalation or data exposure.
Data Flow Exposure Points
Sensitive data transmitted over insecure channels or stored without adequate protection between system components.
Privilege Escalation by Design
System design flaws that allow users to gain unauthorized access to administrative functions or other users' data.
What We Assess
Comprehensive coverage across all critical areas of threat modeling.
Deep-Dive Coverage - Every Nuance Addressed
Threat Modeling isn't one-size-fits-all. Different contexts demand different assessment approaches. We go beyond generic checklists to address the specific attack surfaces and risks of each domain.
Architecture-Centric Threat Decomposition
Structured threat modeling of applications, platforms, and data flows to identify trust boundaries, abuse paths, and control failures before deployment. The work translates architecture into actionable attacker narratives instead of generic checklists.
- ▸ DFD and sequence-flow decomposition of APIs, queues, workers, admin planes, and third-party dependencies
- ▸ Systematic abuse-case development using STRIDE, PASTA, and kill-chain informed attacker objectives
- ▸ Trust-boundary analysis for browser-to-backend, service-to-service, and cross-tenant interactions
- ▸ Threat prioritization using exploit preconditions, business impact, and detection difficulty rather than CVSS alone
- ▸ Security requirement derivation directly tied to architectural components and release gates
Identity, Session & Authorization Threat Models
Deep modeling of authentication, federation, session handling, and authorization logic where modern compromise frequently begins. This domain is critical for SaaS, APIs, and B2B integrations.
- ▸ Threat enumeration for SSO, SCIM, OAuth, OIDC, SAML, magic links, and passwordless recovery paths
- ▸ Session fixation, token replay, refresh-token theft, and device-binding bypass scenarios
- ▸ Horizontal and vertical privilege escalation modeling across RBAC, ABAC, ReBAC, and feature flag paths
- ▸ Delegated access risks involving service principals, user-consented apps, and partner integrations
- ▸ Authorization decision tracing to uncover TOCTOU flaws and inconsistent policy enforcement across microservices
Cloud-Native & Infrastructure Threat Models
Threat modeling for Kubernetes, serverless, IaC, and cloud platform services where misconfigured trust relationships can create outsized blast radius. The objective is preventing infrastructure design debt from becoming future breach paths.
- ▸ Modeling of control-plane abuse, metadata service exposure, and cross-account trust misconfiguration
- ▸ Pod-to-pod, namespace, and cluster-admin escalation scenarios in Kubernetes environments
- ▸ Secret distribution and CI/CD compromise paths from source control to production workloads
- ▸ Infrastructure-as-code drift and unsafe defaults propagation across reusable modules and templates
- ▸ Abuse cases for event-driven architectures, queues, and serverless triggers with implicit trust assumptions
AI, Data & Model Pipeline Threat Modeling
Threat modeling adapted for LLM systems, analytics pipelines, and ML workloads where data provenance and model behavior create new attack surfaces. This reflects the practical expansion of threat modeling in 2025 architectures.
- ▸ Prompt injection, retrieval poisoning, and tool invocation abuse in agentic or RAG-enabled systems
- ▸ Training-data contamination and insecure feature pipeline threats affecting downstream model integrity
- ▸ Model inversion, membership inference, and over-broad prompt context exposure scenarios
- ▸ Sensitive data leakage paths through embeddings, vector stores, and cached inference artifacts
- ▸ Human-in-the-loop bypass risks where reviewers become implicit trust boundaries in AI workflows
Proven Threat Modeling Methodology
A systematic, repeatable methodology refined over 5500+ security assessments across 25+ countries.
Discovery & Scoping
Understand your environment, define scope, identify critical assets and testing boundaries.
Threat Intelligence
Gather intelligence on known threats, vulnerabilities, and attack vectors specific to your domain.
Assessment Execution
Conduct thorough testing combining automated tools with expert manual analysis.
Analysis & Correlation
Correlate findings, assess business impact, eliminate false positives, and prioritize risks.
Reporting & Remediation
Deliver detailed reports with executive summary, technical findings, and actionable remediation guidance.
Verification & Support
Re-test after remediation, verify fixes, and provide ongoing advisory support.
Why Choose Us for Threat Modeling
India's Only CREST-Approved
International gold standard in security testing - ensuring international quality standards.
Government Empanelled
Government of India authorized security auditor (2025-2027) for regulated entities.
Real-Time Project Portal
Track assessment progress, view findings, and collaborate with our team through our proprietary LURA platform. Security Simplified.
Standards & Frameworks We Align With
Frequently Asked Questions
Clear answers to help you make informed security decisions for your organization.
What is threat modeling?
Threat modeling is a structured approach to identifying, quantifying, and addressing security threats to an application or system during the design phase. It helps find security issues before any code is written.
When should threat modeling be done?
Ideally during the design phase of the SDLC. However, threat modeling is valuable at any stage - for new features, architectural changes, or as part of security reviews for existing systems.
Which methodology do you use?
We select the most appropriate methodology based on your context: STRIDE for technical teams, PASTA for business-aligned risk analysis, Attack Trees for scenario-based analysis, and LINDDUN for privacy-focused modeling.
How long does a threat model take?
A focused threat model for a single application typically takes 1-2 weeks. Enterprise-wide threat modeling programs are phased over several months.
Do you integrate with our development workflow?
Yes, we deliver threat model outputs as security requirements, user stories, and test cases that integrate into Jira, Azure DevOps, or your preferred project management tool.
Still have questions?
Our cybersecurity experts are ready to provide custom answers tailored to your organization's unique threat landscape and compliance requirements.
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