DE
Monte Carlo simulation in practice: quantitative risk analysis using scenarios and probability distributions to support data-driven decision-making directly within the GRC system.
With the latest release, Swiss GRC continues to evolve its GRC software to address key demands in modern risk management. The update brings together advanced quantitative risk analysis, AI-driven capabilities, and enhanced support for regulatory frameworks such as DORA.
In the area of quantitative risk analysis, the GRC Toolbox provides advanced capabilities for modelling and assessing risk, including Monte Carlo simulation. This enables organizations to move beyond qualitative assessments and quantify risks based on scenarios and probability distributions, improving the understanding of potential losses and tail risks.
The release also strengthens collaboration with third parties. With enhanced external user management, organizations can onboard vendors and external stakeholders in a structured and secure way, supporting more effective Third-party Risk Management (TPRM).
Another focus is the continued evolution of AI in GRC. The enhanced AI Assistant supports research, content creation, and analytical tasks, while built-in governance mechanisms ensure controlled and compliant use of AI across the organization.
In addition, web search integration extends the platform with real-time external data. This enables AI-driven insights to incorporate up-to-date information, improving the context and relevance of risk assessments and decision-making.
From a regulatory perspective, the release further supports DORA compliance. The integrated DORA Information Register allows organizations to structure, manage, and export regulatory data efficiently, supporting compliance with the Digital Operational Resilience Act and increasing audit readiness.
Overall, the latest release reflects the ongoing shift toward integrated, data-driven GRC platforms that combine risk management, AI, and regulatory compliance within a single environment.
