Change Assurance
Govern software, infrastructure, and AI-system changes before and after release.
Capabilities
Five assurance pillars. One controlled loop.
Engineering assurance across software, infrastructure, AI agents, data systems, and compliance.
Continuous Compliance
Reassess controls, policies, and evidence as systems, regulations, and threats evolve.
AI Agent & Model Assurance
Test agents, models, prompts, tools, permissions, and behavior against approved controls.
DevSecOps / Software Supply Chain
Repositories, dependencies, artifacts, CI/CD, APIs, secrets, and remediation validation.
Runtime & Data Assurance
Operational signals, configuration, cloud context, and data-risk conditions — then verified closure.