Cybelle Frameworks
Proprietary intelligence frameworks developed through Cybelle research — each offering a structured lens for evaluating enterprise AI risk, pan-African digital resilience, model accountability, and zero-trust maturity. Interact with live simulations below.
Simulation only. These interactive models use illustrative sample data for demonstration purposes. They are not production assessment tools and do not constitute professional security, legal, or regulatory advice.
AI Trust Perimeter
A comprehensive framework for defining, measuring, and enforcing trust boundaries in enterprise AI deployments across regulated industries.
The trust perimeter shows moderate stress. Elevated data sensitivity or model risk requires tighter controls. Recommend stricter access policies and enhanced monitoring before expanding this deployment.
Continental Resilience Stack
Pan-African digital resilience architecture that maps regulatory, infrastructure, and threat environments across 54 African nations.
Model Accountability Index
Quantitative benchmarking tool for evaluating AI model behaviour against enterprise governance, ethics, and auditability standards.
Developing accountability framework. Core governance structures exist but require systematic strengthening. Prioritise bias control and audit readiness before scaling deployment.
Zero Trust Velocity Curve
A maturity model that measures the speed and quality of zero-trust security adoption across enterprise network and identity estates.
Core zero trust principles deployed. Least-privilege enforced. Policy engine active, but coverage is not yet universal.
- Extend least-privilege access to all production workloads
- Implement continuous authentication signals across the estate
- Deploy SASE for remote access and branch connectivity