Enterprise AI & cyber security advisory
Lumina Security helps leaders turn complex AI, agentic and cyber risk into clear decisions, defensible controls and a practical path to adoption.
A conceptual view of the evidence, trust boundaries and decisions brought together during an assessment.
Security thinking across
Clarity before control
Autonomous agents, enterprise copilots and connected data introduce new identities, permissions and trust boundaries. We help organisations understand those changes early, decide what good looks like, and move from uncertainty to controlled adoption.
Core capabilities
Focused advisory for the decisions that sit between business ambition, emerging technology and enterprise risk.
Strategic focus
Assess AI use cases, autonomous agents and connected tools through identity, data, action, oversight and evidence lenses.
Assurance
Translate complex integrations and data flows into a decision-ready view of exposure, controls and treatment priorities.
Trust
Strengthen lifecycle, privileged access, access review and least-privilege expectations across people and machine identities.
Governance
Test whether data handling, provider assurance and governance evidence support the organisation’s risk decisions.
Selected work themes
Examples are anonymised and describe advisory and assessment work without exposing client or implementation-sensitive detail.
Assessment pathway
Structured current and target-state review across architecture, identity, data movement, connected tools and human oversight—then shaped risk-based Fast-track, Standard and Enhanced assessment routes.
Integration assurance
Analysed SharePoint, Teams and Outlook data flows, Microsoft Graph permission scope, connector actions and pilot safeguards to surface the decisions needed before broader enablement.
Identity governance
Distinguished lifecycle removal from inactivity-based review, identified tooling constraints and clarified how a reliable population and defensible review evidence could be established.
Third-party AI risk
Assessed external AI and data-platform use cases for verified contractual protections, retention, training restrictions, audit rights and incident notification evidence.
Security control baseline
Developed an assessment baseline spanning managed identities, MFA, Conditional Access, least privilege, privileged access, lifecycle and access reviews—clearly separating assumptions from verified controls.
Engineering governance
Explored repository use and shared AI capabilities through platform, team and governance risk lenses to support safer collaboration without overstating administrative or implementation ownership.
A practical operating model
Every engagement is shaped to the risk and maturity of the initiative. The common thread is a transparent evidence trail and a clear owner for what happens next.
Clarify the use case, business outcome, actors, technology and decision required.
Trace identities, data, integrations, tools, actions and critical trust boundaries.
Test control evidence, assumptions and risk against an appropriate assessment route.
Agree guardrails, treatment priorities, ownership and the conditions for adoption.
Agentic AI security
Agentic systems connect models to identities, memory, data and tools. Lumina Security examines the full chain—from the person making a request to the downstream service executing it.
Experience behind the advice
Lumina Security’s practice lead brings experience across security architecture, enterprise risk, identity, resilience and the governance of emerging AI systems. The work centres on making complex technology decisions understandable, evidence-based and actionable.
“The goal is not to slow innovation. It is to make the path to adoption clear, controlled and defensible.”View Harry Singh on LinkedIn
Professional credentials & memberships
Start with the decision
Tell us about the AI use case, integration, risk question or assurance challenge in front of you. We’ll start with a focused conversation about the decision you need to make.
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