AI Governance Readiness Review
Assess AI governance maturity, roles, policies, risk ownership, vendor controls, data considerations, and an actionable improvement roadmap.
AI Governance & AI Security
Enable AI safely. Govern it continuously. Prove control.
AI adoption is moving faster than most organisations’ ability to understand its security, privacy, identity, data, compliance, and operational risks. SecuriCentrix helps organisations discover AI in use, govern it, control high-risk use, and maintain documented evidence.
AI control, operated for you
From AI discovery to defensible governance.
We establish an AI control plane over high-risk AI use: understanding what AI is running across browser, endpoint, network, and cloud environments; identifying the identities, data access, and connected systems behind it; prioritising real risk; enforcing policy; and creating continuous governance evidence.
- Discover sanctioned and Shadow AI, agents, models, extensions, MCP servers, and AI-connected services
- Map users, service accounts, agentic identities, reachable data, and sensitive systems
- Grade risk and identify high-risk AI use cases requiring action
- Apply policies and control workflows through existing identity and security tooling
- Create audit trails, executive dashboards, ownership, and framework-mapped evidence
AI governance services
Build practical controls around the AI your organisation already uses.
AI Discovery & Shadow AI Assessment
Establish an AI inventory, identify unsanctioned or high-risk use, review ownership, data and identity exposure, and prioritise action.
AI Governance QuickStart
Deploy discovery tooling, onboard agreed environments, establish an initial AI inventory, triage key risks, and produce the first executive report.
AI Policy & Control Programme
Develop acceptable AI-use rules, approval processes, risk classification, vendor assessment, data-control requirements, and governance workflows.
Managed AI Governance
Maintain continuous review, risk tracking, policy governance, evidence, reporting, and regular AI governance forums.
AI Incident Readiness
Prepare for sensitive-data leakage, unsafe agent actions, prompt injection, AI-related fraud, compromised AI suppliers, or AI use outside approved purpose.
AI incident scenarios
Test decisions before AI risk becomes an operational incident.
AI-specific tabletop exercises turn policy into practical readiness across security, privacy, legal, IT, risk, business leadership, and third parties.
Sensitive data entered into unsanctioned AI.
Test discovery, data classification, containment, privacy escalation, communications, user response, and evidence preservation.
An AI agent has excessive permissions.
Test agent oversight, identity controls, service-account rotation, data access, blast-radius assessment, and recovery decisions.
An AI supplier compromise or fraudulent AI instruction.
Test vendor escalation, payment and approval controls, continuity, communications, monitoring, and remediation governance.