Building
Design secure, scalable architecture patterns for AI systems with defense-in-depth controls.
Essential practices for minimally viable AI assurance. Core practices established with basic automation and human oversight.
Advanced practices with extensive automation and safety controls. Integrated security, metrics-driven improvement.
Continuous threat monitoring, thought leadership, automated intelligence production, industry contribution.
AI applications, models, code security, vulnerability detection, and AI-powered SAST/DAST.
View Details →Training and operational data protection, privacy, classification, and DLP systems.
View Details →Cloud and on-premise security, configuration management, network security, and CSPM.
View Details →Third-party AI service risk management, supply chain security, and vendor assessments.
View Details →Business workflows, incident response, SOAR automation, and governance processes.
View Details →User interfaces, APIs, endpoint protection, EDR, and mobile security for AI systems.
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