Articles on AI governance and AI risk: inventorying AI systems, assessing models and agents, and mapping to NIST AI RMF, ISO/IEC 42001 and the EU AI Act with DigitalXForce AI TRiSCM.
This article explains how DigitalXForce runs AI-powered risk governance and security posture management together: automated assessments, one risk register, and Digital Trust as a shared measure.
AI-Powered Risk Governance and Security Posture Management with DigitalXForce Read More »
AI in cybersecurity raises speed on both sides. This article sets out how to balance innovation with security and trust: governance of models, evidence of controls and clear accountability.
AI in Cybersecurity: Need to Balance Innovation with Security and Trust Read More »
Generative AI brings new cyber risks alongside its benefits. This article explains how to manage them responsibly: governance, data controls, testing and continuous monitoring of AI systems.
Artificial intelligence and human intelligence play different roles in security. This article compares them and explains where each belongs in a cybersecurity program.
Real or Human Intelligence (RI) Versus Artificial Intelligence (AI) Read More »
A risk-based assessment of generative AI, using ChatGPT as the example: what secure by design means for these systems and where the gaps are today.
Risk-based Assessment of Generative AI: Is ChatGPT Secure-by-Design? Read More »
