Control what AI can see, access and share before adoption scales
Prepare your data, identity and governance controls for safer Copilot, agent and enterprise AI adoption.
Kocho helps organisations build the secure Microsoft foundations AI depends on: classified data, governed access, policy-led protection, trusted identities and clear operating controls.
AI exposes the gaps your organisation already has
AI is only safe when the data behind it is protected and access is controlled.
But sensitive content is often scattered across Microsoft 365, endpoints, SaaS platforms and legacy systems, with permissions, DLP and classification gaps hidden from view.
Add Copilot, agents or AI analytics, and those gaps become easier to expose.
Scattered data
Sensitive information sits across sites, files, chats, endpoints and systems, making it difficult to classify, protect and control before AI can surface it.
Access that's too broad
Permissions, groups and sharing links expand over time, giving people and AI tools more reach into business content than the organisation intended.
Uneven controls
DLP, labelling and governance policies often vary by platform or team, leaving gaps where sensitive data can move without enough protection.
AI raises exposure
Copilot, agents and analytics can surface hidden risks faster, making weak classification, access and governance harder to ignore or contain.
Secure AI adoption starts with data, identity and governance
Secure AI Foundation Solutions combine Microsoft Purview, Defender and Entra into one practical control model for AI readiness.
We assess your current environment, find the gaps that create AI exposure, and build a roadmap to stronger governance.
So sensitive data is protected before AI can surface it, and access is tightened before it spreads.
Why AI governance breaks down
Sensitive data is hard to see
Critical information sits across documents, channels, endpoints and systems, often without clear ownership or classification.
Access is too broad
Permissions, groups and sharing links can give users and AI tools more reach than intended.
Before we could take AI conversations any further, we needed confidence that our information was being handled properly and consistently. This project gave us that confidence.
DC Director
Global Aerospace Organisation
Security controls need to follow the way AI works
- Information protection: Classify, label and protect sensitive data.
- Data loss prevention: Reduce oversharing and control data movement.
- Identity control: Tie AI use to trusted users, devices and access policies.
- Cloud app governance: Improve oversight of services, connectors and risky behaviour.
- AI operating model: Define roles, approvals and lifecycle governance for Copilot and agents.
The result is a stronger foundation for AI adoption: one where data is classified, access is governed, policies are enforceable, and business teams can innovate without creating unmanaged exposure.
Built around the Microsoft security stack you already own
Kocho turns your existing Microsoft security stack into a connected AI security foundation across Purview, Defender and Entra.
We configure controls to classify and protect sensitive data, monitor risk, strengthen threat protection, and govern access to AI-connected services.
That gives you robust guardrails for Copilot, agents and enterprise AI without building disconnected controls around every new use case.
From AI ambition to governed adoption
Secure AI Foundation Solutions help organisations move beyond isolated pilots and unmanaged experimentation.
We help you create the governance model AI programmes need to scale safely, including environment separation, role-based access, approval processes, connector controls, lifecycle governance and knowledge transfer.
Whether you are preparing for Microsoft 365 Copilot, building internal agents, exploring Microsoft Fabric or formalising your organisation-wide AI strategy, we help you put the right controls in place before AI becomes business as usual.
Assess the estate
We review your Microsoft estate to identify data, identity and governance gaps that could increase AI exposure.
Map sensitive data risk
We help locate sensitive information, review classification gaps and show where AI could surface content too widely.
Prioritise the controls
We define which policies, access changes and governance steps will make the biggest difference first.
Configure Microsoft security
We implement practical controls across Purview, Defender and Entra to strengthen protection, monitoring and enforcement.
Prepare AI use cases
We support safer adoption of Copilot, agents and AI services by aligning controls to real business scenarios.
Enable lasting governance
We transfer knowledge, define ownership and help teams run secure AI controls beyond the initial project.
What you can achieve
- Clearer visibility of sensitive data, access risk and policy gaps.
- Stronger protection for confidential, regulated and business-critical information.
- Reduced oversharing across Microsoft 365, endpoints and AI-connected services.
- More consistent governance across Copilot, agents, analytics and collaboration.
- A practical roadmap for secure AI adoption using Microsoft technology.
Ready to build the foundations for secure AI adoption?
Choosing Kocho means working with the original identity-first Microsoft security partner with multiple specialisations across identity, security, governance and Microsoft Copilot.
We connect architecture, governance, stakeholder engagement and adoption planning so AI controls are secure, understood and sustained.
That helps organisations move quickly with AI while keeping control of data, identity, compliance and operational risk.
Speak to us today about assessing your Microsoft environment, reducing AI exposure risk and creating a governed route to Copilot, agents and enterprise AI.
Secure your AI before it scales
AI agents can access data, take action and make decisions across your environment. Without the right controls, that speed can introduce new security, compliance and governance risks.
Join our expert-led webinar to discover how to govern AI identities, protect sensitive data with Microsoft Purview, and build a practical roadmap for secure AI adoption.
