Securify’s Threat Modeling Services empower organizations to embed security into every layer of their digital infrastructure. Our certified experts combine cutting-edge frameworks with industry-specific insights to dissect your systems, from cloud-native applications to legacy architectures. Whether you’re a fintech safeguarding APIs or a healthcare provider securing IoT devices, we tailor models to your risk profile.
Traditional security reacts; threat modeling anticipates:
Fixing vulnerabilities pre-production is 100x cheaper (Synopsys):
We develop comprehensive data flow diagrams (DFD) to visualize workflows, map trust boundaries across hybrid environments, and maintain dynamic asset inventories for AWS, Azure, and IoT ecosystems.
Using the STRIDE framework, we systematically uncover threats like spoofing and tampering, enrich analysis with CAPEC attack patterns, and simulate advanced AI-driven adversarial attack scenarios.
We evaluate risks via DREAD scoring for severity, apply FAIR modeling to quantify financial exposure, and align findings with business-critical impact thresholds for prioritization.
We deploy Zero Trust architecture to minimize attack surfaces, integrate automated security checks into DevSecOps pipelines, and enforce guardrails for secure coding practices.
We ingest real-time threat intelligence feeds, automate detection of attacker TTPs (Tactics, Techniques, Procedures), and refresh threat models quarterly to address emerging risks proactively.
Uncover hidden risks in:
Prioritize with financial precision:
Build defenses that scale:
Financial, healthcare, and IoT sectors gain critical risk visibility, aligning Threat Modeling with industry compliance demands.
Yes. We model threats for medical devices, ICS/SCADA, and smart factories.
Our automated tools embed threat analysis into sprints, ensuring security scales with DevOps velocity.
Clients save 70%+ long-term by fixing design flaws pre-production, avoiding breach costs and retesting fees.