STRIDE / PASTA / MITRE ATLAS / NIST AI RMF ALIGNED
Threat Modelling
Consulting-led threat modelling across applications, AI/ML systems, cloud-native architectures, and privacy - identifying threats before they become vulnerabilities.
Threat modelling is the most cost-effective security investment an organisation can make. Our consultants deliver structured threat analysis using STRIDE, PASTA, MITRE ATLAS, and LINDDUN - covering traditional applications, AI and LLM systems, cloud-native infrastructure, and privacy-sensitive architectures - providing actionable threat catalogues, risk-ranked mitigations, and programme-maturity recommendations.
01
STRIDE, PASTA, ATTACK TREES & DATA-FLOW ANALYSIS
Application & System Threat Modelling
Structured threat identification across application architectures using industry-standard frameworks.
STRIDE analysis - systematic evaluation of spoofing, tampering, repudiation, disclosure, DoS, and privilege escalation
PASTA risk–centric modelling - seven-stage process connecting technical threats to business impact and risk appetite
Data–flow decomposition - trust-boundary mapping, entry-point enumeration, and asset classification
Attack tree construction - goal-oriented attack-path visualisation with likelihood and impact scoring
Threat catalogue delivery - CWE-mapped threat register with risk-ranked mitigation recommendations
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FRAMEWORK COVERAGE
STRIDE Threat Classification
STRIDE
PASTA Business–Risk Alignment
PASTA
Attack Tree Path Visualisation
Trees
Trust–Boundary & Data–Flow Mapping
DFD
STRIDE
PASTA
ATTACK TREES
NIST 800-154
02
MITRE ATLAS, OWASP LLM TOP 10, NIST AI RMF & MAESTRO
AI & LLM Threat Modelling
Threat modelling purpose-built for AI/ML pipelines, large language models, and agentic AI systems.
MITRE ATLAS mapping - adversarial threat taxonomy covering evasion, poisoning, extraction, and inference attacks
OWASP LLM Top 10 - prompt injection, sensitive-data disclosure, supply-chain, and RAG-specific threat analysis
Agentic AI threats - MAESTRO framework for autonomous agent risks including tool abuse and planning misalignment
NIST AI RMF alignment - Govern, Map, Measure, Manage functions for trustworthiness and bias assessment
EU AI Act classification - risk-tier mapping and threat modelling obligations for high-risk AI systems
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AI THREAT LANDSCAPE
MITRE ATLAS Adversarial Taxonomy
ATLAS
OWASP LLM Top 10 & Agentic Top 10
LLM
MAESTRO Agentic AI Framework
Agent
NIST AI RMF & EU AI Act Risk Tiers
RMF
MITRE ATLAS
LLM TOP 10
MAESTRO
NIST AI RMF
03
LINDDUN, GDPR, EU AI ACT & DATA-PROTECTION IMPACT
Privacy Threat Modelling
Systematic privacy-threat identification using LINDDUN aligned to regulatory obligations.
LINDDUN analysis - linkability, identifiability, non-repudiation, detectability, disclosure, unawareness, and non-compliance
LINDDUN GO - lightweight rapid-assessment variant for agile and time-constrained engagements
GDPR & DPDPA alignment - data-protection impact assessment integration and regulatory mapping
AI privacy risks - training-data leakage, model inversion, membership inference, and re-identification threats
Privacy–enhancing technologies - PET catalogue recommendations aligned to identified privacy threats
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PRIVACY THREAT CATEGORIES
Identifiability & Re-Identification Risk
ID
Linkability & Cross-Dataset Correlation
Link
AI Training-Data Leakage & Inversion
AI
Regulatory Non-Compliance Mapping
Reg
LINDDUN
GDPR
DPIA
EU AI ACT
04
CONTAINERS, KUBERNETES, IAC & ZERO TRUST BOUNDARIES
Cloud-Native & Infrastructure Threat Modelling
Threat modelling adapted for cloud-native architectures, container orchestration, and infrastructure-as-code.
Container & Kubernetes - pod-escape paths, API-server exposure, RBAC misconfigurations, and supply-chain risks
Cloud IAM & Identity - privilege-escalation paths, cross-account trust, and federation-boundary analysis
Service mesh & API gateway - east-west traffic trust boundaries, mTLS enforcement, and policy gaps
Infrastructure-as-code - Terraform, CloudFormation, and Helm chart analysis for drift and misconfiguration
Zero Trust architecture - zone-conduit validation, micro-segmentation boundaries, and implicit-trust elimination
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CLOUD THREAT SURFACE
Kubernetes API & Pod-Escape Paths
K8s
IAM Privilege-Escalation & Trust Chains
IAM
IaC Drift & Misconfiguration Analysis
IaC
Zero Trust Zone-Conduit Validation
ZTA
KUBERNETES
IAM
TERRAFORM
ZERO TRUST
05
OWASP SAMM, ISO 27005 & PROGRAMME UPLIFT
Threat Modelling Maturity & Governance
Assesses and uplifts your organisation's threat modelling capability against recognised maturity models.
OWASP SAMM alignment - threat-analysis practice maturity scoring across design and verification domains
ISO 27005 integration - risk-management process alignment for threat identification and evaluation
Champion programme - embedded threat-modelling advocates trained to lead sessions across product teams
Methodology selection - fit-for-purpose framework recommendation based on organisation size and risk profile
Roadmap delivery - phased maturity uplift plan with measurable KPIs and milestone tracking
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MATURITY FRAMEWORK
OWASP SAMM Threat-Analysis Scoring
SAMM
Framework Selection & Methodology Fit
Fit
Champion Programme & Team Enablement
Train
Phased Roadmap & KPI Milestone Tracking
KPI
OWASP SAMM
ISO 27005
CHAMPIONS
ROADMAP
06
THREAT CATALOGUES, RISK RANKING & EXECUTIVE DELIVERABLES
Remediation Advisory & Reporting
Actionable threat catalogues with risk-ranked mitigations and executive-ready deliverables.
Threat catalogue - comprehensive register with STRIDE/ATLAS-mapped threats, likelihood, and business-impact scoring
Mitigation roadmap - prioritised countermeasures with effort estimates, ownership assignments, and implementation guidance
Architecture recommendations - secure-by-design patterns and control placement aligned to identified threats
Developer workshops - walkthrough sessions with engineering teams on threat patterns and prevention strategies
Executive summary - risk-posture overview, threat distribution, and strategic improvement recommendations
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CONSULTING DELIVERABLES
Risk-Ranked Threat Catalogue
Risk
Prioritised Mitigation Roadmap
Plan
Secure-by-Design Architecture Guidance
Arch
Executive Summary & Strategic Roadmap
Exec
CATALOGUE
MITIGATIONS
WORKSHOPS
EXECUTIVE

Our Approach

NetSentries presents a context-aware Threat Modeling Service, which incorporates a comprehensive threat assessment. This assessment considers the business context of your application, service, or product, along with compliance prerequisites, internal data sensitivity classification, and business impact post-compromise. Our findings are translated into actionable business risks, empowering your organization's risk team to make well-informed decisions within the framework of their Risk Management strategy.

In contrast, a Context-Aware approach takes a more holistic view. It considers not only the technical aspects but also integrates the business context of the service. This approach encompasses factors such as use cases, interconnected services, data handling and processing, service/application exposure, as well as compliance requirements. By adopting this approach, threats are evaluated based on their potential impacts on both technology and business aspects. This provides a more comprehensive understanding of threat severity, enabling more accurate planning for effective remediation strategies.

Ready to model your threat landscape?
Share your architecture - we'll design a threat modelling engagement covering applications, AI systems, cloud, and privacy.