Cybersecurity Assessment
Structured security assessment methodology for connected intelligent systems.
About This Project
Sensifai Structured Security Assessment Method (SSAM) is Sensifai's internal methodology for planning, executing, documenting, and following up cybersecurity assessments of connected intelligent systems. It is designed for web platforms, APIs, cloud services, edge devices, embedded AI systems, IoT deployments, and hybrid cyber-physical solutions. SSAM provides a repeatable, auditable, risk-driven approach to penetration testing, vulnerability assessment, architecture-focused security review, edge and IoT security testing, and remediation validation.
This project reflects Sensifai's applied innovation approach, combining research-grade AI capabilities with practical product and deployment requirements.
Key Highlights
Use Cases
This project supports several practical scenarios across research, commercialization, and deployment contexts:
- Connected infrastructure and sensor intelligence
- Edge deployment for real-world monitoring
- Sensifai Structured Security Assessment Method (SSAM) workflow automation
- Internal Security Practice innovation validation
- Cross-functional product and research collaboration
