Threat Modeling Presentation covers identifying, analyzing, and mitigating potential threats in systems and applications.
Size: 36.34 KB
Language: en
Added: Aug 29, 2025
Slides: 10 pages
Slide Content
Threat Modeling Explained A Guide for Everyone – Business Leaders, Engineers, Security Teams, and Students
What is Threat Modeling? - Structured approach to identifying, analyzing, and mitigating threats - Think like an attacker to protect assets - Proactive defense instead of reactive fixes - Analogy: Securing a bank before a heist
How Threat Modeling Works 1. Identify Assets – what needs protection 2. Identify Threats – who could attack 3. Analyze Vulnerabilities – how attacks could happen 4. Prioritize & Mitigate – apply security controls
Popular Frameworks - STRIDE (Microsoft): Spoofing, Tampering, Repudiation, Info Disclosure, DoS, Elevation of Privilege - PASTA: Risk-based, attacker mindset - OCTAVE: Focus on business impact - MITRE ATT&CK: Real-world attacker techniques
Example: Mobile Banking App Assets: Customer accounts, personal data Threats: Spoofing, tampering, data leakage Mitigations: MFA, TLS encryption, anomaly detection Tie-In: Fintech startups rely on STRIDE for compliance
Example: Cloud Infrastructure Assets: VMs, customer databases Threats: Misconfigured storage, insider abuse, DoS Mitigations: IAM least privilege, CSPM, autoscaling Tie-In: Capital One AWS breach (2019) due to misconfiguration
Example: Manufacturing IoT Systems Assets: Smart factory sensors Threats: Malware, DoS on production line Mitigations: Auth, secure updates, network segmentation Tie-In: Colonial Pipeline (2021) raised OT security awareness
Business Value of Threat Modeling - Prevention is cheaper than post-breach fixes - Builds compliance readiness - Strengthens customer trust - Improves resilience against ransomware & cloud risks
How Organizations Can Deploy 1. Train dev, ops & security teams 2. Use tools: Microsoft TMT, OWASP Threat Dragon, IriusRisk 3. Integrate into SDLC & DevOps 4. Run cross-functional workshops 5. Update models as systems evolve