Governance design
Define acceptable use, approval routes, risk classification, and accountable owners.
AIBound
AI discovery and governance with AIBound, run as a managed service.
SecuriCentrix uses AIBound to discover sanctioned and Shadow AI, map the identities and data behind it, and maintain continuous governance evidence for regulated and fast-growing organisations.
What the platform does
Visibility and control over AI that is already in use.
- Discovery of AI applications, agents, models, browser extensions, MCP servers, and AI-connected services
- Identity, permission, data-access, and blast-radius context
- Contextual AI risk scoring and prioritisation
- Policy enforcement through existing identity and security tooling
- Audit trails, dashboards, and framework-mapped evidence
What SecuriCentrix adds
Governance is an operating model, not a dashboard.
A platform produces findings. The service produces decisions, owned remediation, and evidence.
Implementation and onboarding
Deploy discovery, establish the initial AI inventory, and produce the first executive report.
Risk triage and remediation
Assess high-risk AI use, agent permissions, and data exposure, and drive practical control changes.
Continuous evidence
Maintain reporting, governance forums, and framework-mapped evidence between reviews.
SecuriCentrix provides AI governance advisory and managed governance. AIBound is a third-party platform we implement and operate; we do not present platform output as a substitute for legal or regulatory advice, and readiness language is used rather than any claim of certification.