What Is the STRIDE Threat Model? Beginner’s Guide – 2026

Loren Kohnfelder and Praerit Garg, two engineers from Microsoft, came up with STRIDE in the 1990s. Until now, STRIDE remains the concept most security professionals use, being proactive in discovering and fixing vulnerabilities.

The model, therefore, allows for the systematic assessment of security risks at every stage of the whole development process and hence offers great insights at each stage valuable for making effective decisions. This blog delves deeper into the in-depth understanding of what is a STRIDE threat model is, its classification, and the benefit that one might accrue.

What is a STRIDE Threat Model?

Stride full form:

The full form of “STRIDE” in the context of security is a mnemonic representing a model used to identify computer security threats. It stands for:

• Spoofing identity
• Tampering with data
• Repudiation
• Information disclosure
• Denial of service (DoS)
• Elevation of privilege

The STRIDE threat model is a developer-focused model to identify and classify threats under 6 types of attacks – Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service DoS, and elevation of privilege.

This model is one of the most commonly used threat modeling methodologies, as its model provides important insights to be proactive in recognizing and defending important system infrastructure, devices, and networks that are susceptible to attacks.

STRIDE steps include finding the threats inherent in the design of the system and implementing contingencies to cover those gaps. Moreover, the STRIDE threat model ensures that software products maintain the CIA triad. That is confidentiality, integrity, and availability.

In fact, STRIDE’s designers at Microsoft developed this framework because the developers were ignorant. And the company wanted them to think about security and threats while designing and developing their software.

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How do you do threat modeling with STRIDE?

STRIDE threat modeling runs in 3 steps: decompose the system, categorize threats against each part, then mitigate them by priority. You break the design into components and data flows, check each one against the 6 STRIDE threat types, and put controls on the risks that carry the most business impact.

Step 1: Decompose

• Break the system into modules, services, and trust boundaries.
• Identify every point where data enters or leaves.
• Map the data flows so you know how information moves.

Step 2: Categorize

• Apply the STRIDE letters to each component and data flow.
• Check each part for Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege.
• Record which threats actually apply, since not every category fits every component.

Step 3: Mitigate

• Rank the threats by business impact.
• Add controls such as encryption, multi-factor authentication, and input validation.
• Re-check the model when the design changes.

STRIDE-per-element vs STRIDE-per-interaction

STRIDE has 2 application styles. STRIDE-per-element checks each system component against the threat types that apply to it. STRIDE-per-interaction analyzes threats along the connections between components instead. Per-element is simpler for small systems. Per-interaction catches threats that only show up when 2 parts communicate.

In STRIDE-per-element, the threat types are matched to element types. Not every category applies to every element. External entities face Spoofing and Repudiation. Data stores face Tampering, Repudiation, Information Disclosure, and Denial of Service. Data flows face Tampering, Information Disclosure, and Denial of Service. Processes face all 6. Microsoft’s Threat Modeling Tool uses this mapping to cut down the list of threats you review.

STRIDE-per-interaction, from Adam Shostack’s work at Microsoft, focuses on the interactions between elements rather than the elements themselves. On large systems with many components, this reduces the number of items to analyze while still covering the threats that appear during communication.

What are the six components of the STRIDE threat model?

The STRIDE threat methodology puts forward a framework that demands the identification and classification of threats or vulnerabilities in the following classifications:

STRIDE Threat Categories	Definition	Example	Examples of Countermeasures
Spoofing Identity	Attackers impersonate legitimate users, devices, or systems to bypass authentication mechanisms and gain unauthorized access	An attacker spoofs a trusted IP address to bypass firewall rules, or creates fake credentials to access a secure API endpoint	Organizations implement multi-factor authentication (MFA), certificate-based authentication, mutual TLS, and digital certificates for identity verification
Tampering	Attackers modify data, code, or system components without authorization to alter system behavior or compromise data integrity	An attacker intercepts and modifies API requests in transit, or injects malicious code into software updates during the build process	Security teams implement cryptographic hashing, digital signatures, code signing, input validation, and secure communication protocols like TLS
Repudiation	Users or attackers deny performing specific actions, making it difficult to prove accountability or trace malicious activities	A malicious insider deletes critical files and claims they never accessed the system, or an attacker performs actions without leaving traceable evidence	Organizations deploy comprehensive logging, audit trails, digital signatures for non-repudiation, timestamping services, and blockchain-based audit logs
Information Disclosure	Attackers gain unauthorized access to confidential data through system vulnerabilities, misconfigurations, or weak access controls	An attacker exploits SQL injection vulnerabilities to extract customer databases, or discovers sensitive data exposed in publicly accessible cloud storage buckets	Companies implement data encryption (at rest and in transit), proper access controls, data loss prevention (DLP) tools, and regular security assessments
Denial of Service (DoS)	Attackers disrupt system availability by consuming resources, exploiting vulnerabilities, or overwhelming services to prevent legitimate access	Cybercriminals launch distributed denial-of-service (DDoS) attacks using botnets, or exploit application vulnerabilities to crash services with minimal requests	IT teams deploy DDoS protection services, rate limiting, resource quotas, auto-scaling infrastructure, and implement circuit breakers and failover mechanisms
Elevation of Privilege	Attackers exploit system weaknesses to gain higher privileges than intended, accessing restricted resources or administrative functions	An attacker exploits a buffer overflow vulnerability to gain root access, or leverages misconfigured permissions to access administrative panels	Security administrators implement the principle of least privilege, regular privilege reviews, secure coding practices, patch management, and privilege access management (PAM) solutions

Spoofing Identity

Spoofing breaks authentication. An attacker pretends to be a user, device, or service to get access they should not have. Common techniques include ARP spoofing, DNS spoofing, IP spoofing, and forged email senders in phishing. Controls: multi-factor authentication, mutual TLS, and certificate-based identity.

Also read about Threat Modeling Interview Questions and Answers.

Tampering

Tampering breaks integrity. An attacker changes data or code in transit, in storage, or in a build pipeline. Examples: modifying an API request mid-flight, altering a config file to gain control, or injecting code into a software update. Controls: cryptographic hashing, code signing, input validation, and TLS.

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Repudiation

Repudiation breaks accountability. A user or attacker performs an action and then denies it, and the system cannot prove otherwise. This happens when logging is missing or can be edited. Example: deleting records that leave no audit trail. Controls: append-only logging, audit trails, timestamping, and digital signatures.

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Information Disclosure

Information disclosure breaks confidentiality. An attacker reads data they should not see. Examples: extracting a database through SQL injection, reading an exposed cloud storage bucket, or pulling secrets from verbose error messages. Controls: encryption at rest and in transit, access controls, and data loss prevention.

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Denial of Service ( DoS)

Denial of service breaks availability. An attacker exhausts resources so real users cannot reach the system. Examples: a DDoS flood from a botnet, or a single crafted request that crashes a service. Controls: rate limiting, resource quotas, auto-scaling, and DDoS protection services.

Also read about Threat Modeling Best Practices.

Elevation of Privilege

Elevation of privilege breaks authorization. An attacker with limited access gains higher rights. Examples: a buffer overflow that yields root, or a misconfigured role that opens an admin panel. Controls: least privilege, patch management, regular privilege reviews, and privileged access management.

Also read, Threat Modeling vs Pentesting: What is the Difference?

STRIDE vs DREAD vs PASTA vs LINDDUN vs OWASP vs NIST

STRIDE, DREAD, PASTA, and LINDDUN solve different parts of threat modeling. STRIDE identifies which threats exist. DREAD scores how serious they are. PASTA ties threats to business risk. LINDDUN covers privacy threats. Most teams pair STRIDE for identification with DREAD or ISADM for prioritization.

Framework	What it does	Best for	Main limitation
STRIDE	Categorizes threats into 6 types by the security property each one breaks	Finding threats during design reviews	No built-in scoring or ranking
DREAD	Scores risk on 5 factors: Damage, Reproducibility, Exploitability, Affected users, Discoverability	Ranking threats you already found	Scores are subjective; Microsoft dropped it internally
PASTA	A 7-stage, risk-centric process linking threats to business impact	Aligning security work with business goals	Time-intensive; needs skilled analysts
LINDDUN	Privacy threat modeling across 7 privacy categories	Privacy and GDPR analysis	Privacy scope only
OWASP Top 10	A ranked list of the most common web application vulnerabilities	Prioritizing known web risks	A reference list, not a modeling process
NIST 800-154	Data-centric threat modeling guidance	Org-wide risk assessment and compliance	Broad; less prescriptive for developers

STRIDE and DREAD were both built at Microsoft and work well together. STRIDE finds the threats, DREAD ranks them. The Certified Threat Modeling Professional (CTMP) course teaches STRIDE, PASTA, and DREAD with hands-on labs.

Top 5 Benefits of the STRIDE Threat Model

STRIDE threat modeling methodology is a very useful methodology that helps to decrease the chances of vulnerabilities and threats exploiting a system or network. Following are the top 5 benefits of the STRIDE threat model.

1. The STRIDE Threat Model lays strong insights and vision for a larger security program.
2. Helps to avoid vulnerabilities and threats from an early stage
3. Cost-effective compared implementation to alternative threat modeling methodologies.
4. The STRIDE Threat Model provides a brilliant checklist for a secure software development lifecycle.
5. It Is an effective model for exercising threat modeling methodology at regular intervals and its outcome can combine with the DREAD risk assessment model which helps to prioritize and tackle action against different threats and vulnerabilities.

Also read How to use Stride Threat Model

How STRIDE Helps in Cloud Security?

STRIDE applies to cloud systems by mapping its 6 threat categories to cloud-specific risks: spoofed IAM identities, tampered storage objects, unlogged API calls, exposed storage buckets, resource-exhaustion attacks, and privilege escalation through misconfigured roles. In cloud environments, identity threats carry more weight than network threats, since access is controlled by IAM rather than a network perimeter.

Running STRIDE against a cloud architecture surfaces where you need monitoring, logging, and alerting, and where authentication and data protection are weak. It also helps rank cloud threats by impact so you fix the highest-risk gaps first.

Practical tips for cloud threat models

• Prioritize identity over network.
• Define shared responsibilities between you and the cloud provider.
• Limit serverless resource consumption to cap DoS blast radius.
• Audit for permission creep on roles and service accounts.
• Secure the management plane, not just the workloads.

Also read about the best practices to incorporate Threat Modeling in DevSecOps 

What is a Threat Modeling Template?

The threat modeling template is a structured approach to identify and mitigate potential security risks in software systems. It involves several steps, including defining the scope, identifying assets, analyzing threats, and implementing mitigations.

You can download our FREE Agile Threat Modeling PDF Guide Take a look at the Threat Modeling Lifecycle

Stride Threat Modeling Data Flow Diagrams

Threat modeling is a crucial process in identifying and mitigating potential security risks in software systems. The STRIDE Threat Modeling Data Flow Diagrams template provides a structured approach to systematically analyze and document the security threats associated with your application’s architecture and design.

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Stride Security Threat Model

The STRIDE security threat model is a widely used framework for identifying threats and classifying potential security threats in software systems. Developed by Microsoft in the late 1990s, it categorizes threats into six types: Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service (DoS), and Elevation of Privilege.  This model helps ensure that software meets the CIA triad of Confidentiality, Integrity, and availability. It is particularly useful for identifying and mitigating threats in cloud computing and IoT devices, and is often used in conjunction with other threat modeling methodologies.

Also read about Threat Modeling Training Success Story

STRIDE in Action

Let’s apply STRIDE to a hypothetical Banking Application.

Also read about Threat Modeling Trainings for Global Financial Institutions.

Here’s a practical example of applying STRIDE to a banking app: Spoofing: 

• Threat: Attacker steals user credentials and impersonates them
• Mitigation: Implement multifactor authentication (MFA)

Tampering:

• Threat: Attacker modifies transaction amount
• Mitigation: Digitally sign transactions, validate on server

Repudiation: 

• Threat: User claims they didn’t make a transfer
• Mitigation: Implement logging, send notifications for transfers

Information Disclosure:

• Threat: Attacker intercepts unencrypted traffic, steals data  
• Mitigation: Use HTTPS for all connections, encrypt data at rest

Denial of Service:

• Threat: Attacker floods login with invalid requests 
• Mitigation: Implement rate limiting, use CAPTCHAs

Elevation of Privilege:  

• Threat: User exploits SQL injection to gain admin rights.
• Mitigation: Sanitize all user input, use the least privilege model.

Also read, 10 Types of Threat Modeling Methodology to Use in 2024

ASTRIDE for AI Agents

ASTRIDE is a threat modeling framework that adds a seventh category to STRIDE: A, for AI agent-specific attacks. Introduced in a December 2025 research paper, it covers threats that classic STRIDE misses, such as prompt injection, unsafe tool use, and reasoning subversion. The platform reads architecture diagrams and generates threat reports automatically.

Classic STRIDE was built for traditional software. Autonomous AI agents that browse the web, send email, and query databases face attack types the original 6 categories do not describe. ASTRIDE adds coverage for 3 of them:

1. Prompt injection: an attacker feeds hidden instructions to the agent to change its behavior.
2. Context poisoning: an attacker corrupts the agent’s memory so it makes bad decisions later.
3. Unsafe tool use: an attacker tricks the agent into misusing its permissions, such as deleting a file it should not touch.

The ASTRIDE platform automates the analysis. It uses fine-tuned vision-language models to read architecture diagrams and a reasoning LLM to write the threat report, which removes the manual step of checking each element by hand.

Source: Manikandan et al., arXiv:2512.04785.

ISADM

ISADM (Integrated STRIDE, ATT&CK, and D3FEND) is a hybrid threat modeling method from a December 2025 study. It uses STRIDE to classify assets at risk, MITRE ATT&CK to map the real attacker techniques that target those assets, and MITRE D3FEND to select the matching defenses. A frequency-based score ranks threats by how often attackers actually use each technique.

The 3 frameworks each cover one layer:

• STRIDE identifies which assets are at risk, such as a database that could be tampered with.
• MITRE ATT&CK shows which techniques attackers use against those assets in the real world.
• MITRE D3FEND lists the specific defenses that stop those techniques.

ISADM adds real-world attack frequency data on top of STRIDE’s design-phase view. Instead of ranking threats by judgment alone, teams rank them by how common each attack is in the wild. The paper validates the method on FinTech case studies, where prioritizing the most-used attacks matters for resource allocation.

Source: Hasan et al., arXiv:2512.18751.

strideSEA

The 4 activities are:

• Threat modeling: finding the initial threats.
• Attack scenario analysis: mapping how an attacker would carry out each threat, using attack trees.
• Risk analysis: calculating the impact on the specific system.
• Countermeasure recommendation: picking the fixes that reduce the most critical risks.

Because every stage uses the same STRIDE categories, a threat identified during design carries the same label through risk analysis and into the final code review. The paper demonstrates the approach on a real online immunization system and produces a quantitative security assessment.

Source: strideSEA, arXiv:2503.19030.

AI-Driven Threat Modeling with STRIDE GPT

STRIDE GPT is a free tool that automates STRIDE threat modeling using large language models. You give it a system description or an architecture diagram, and it generates a list of threats mapped to the 6 STRIDE categories. It cuts the threat-elicitation step from hours to minutes and keeps results consistent across a team.

The tool speeds up the first draft of a threat model. A security engineer should still review the output, since LLM-generated threats can miss context-specific risks or include ones that do not apply. Used this way, STRIDE GPT handles the repetitive elicitation work and leaves judgment to the reviewer.

Tool: stridegpt.streamlit.app.

Conclusion

Stride Threat Model is one of the best threat modeling methodologies available. It puts forward a framework that is most widely used to access cybersecurity. It also demands to identify and classify threats by nature of their attack under 6 heads, namely – Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service DoS, and Elevation of privilege. Cyber experts choose the STRIDE threat model above many other threat modeling approaches because of its many benefits.

Read more about other Best Threat Modeling Methodologies.

STRIDE threat modeling will help you better prepare for future threats. It can organize many possible threats.

Threat modeling is a complex process that requires real-time data collection and analysis and a quick (if not real-time) response. The Certified Threat Modeling Professional (CTMP) is a vendor-neutral course and certification program.

In fact, the course curriculum will also focus on Security requirements in agile environments, Agile Threat modeling, Threat Modeling as Code, and Secure Design Principles to help you ensure security in the design phase.

Also Read, Integrating STRIDE Threat Model with DevOps

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