AI Security and Governance

Secure AI Foundation

Microsoft Solutions Partner

AI Security and Governance

A secure, governed foundation for scaling AI with confidence.

Secure AI Foundation

As organizations expand their use of Copilot and AI, sensitive information, excessive permissions and inconsistent governance can create new security and compliance risks.

But many organizations lack the controls and guardrails needed to scale AI confidently and responsibly.

We help clients remediate data and access risks, implement Microsoft security and governance controls, and establish a secure foundation for enterprise AI.

What this solution is

Secure AI Foundation fixes the data and access risks that make AI unsafe to deploy. We remediate oversharing and excessive permissions, configure Microsoft Purview, sensitivity labels and DLP, and put governance guardrails in place so Copilot only surfaces what people should see.

Who this is for

  • Organizations whose security team won't approve Copilot until oversharing is fixed.
  • Teams that ran a readiness assessment and now need the gaps closed.
  • Organizations with compliance obligations that need controls in place before AI goes live.
Diagram: identified risks are remediated with Microsoft Purview, sensitivity labels, data loss prevention and access policies, readiness is validated continuously, and Copilot is ready to roll out.

Our Approach

1

Risk-Based Remediation Roadmap

  • Prioritize risks and remediation activities
  • Align remediation to AI use cases and rollout plans
  • Define target security and governance posture
  • Establish a phased implementation roadmap
2

Data Access & Security Remediation

  • Remediate oversharing and excessive permissions
  • Protect sensitive and high-risk content
  • Address access and sharing issues
  • Target remediation by department, data source or technology
3

AI Guardrails & Governance

  • Configure Microsoft Purview policies and controls
  • Implement sensitivity labels and DLP alignment
  • Establish AI security and governance guardrails and Responsible AI practices
4

Measure, Validate & Scale

  • Track remediation progress and risk reduction
  • Measure Copilot deployment readiness
  • Establish operational metrics and ongoing oversight

What You Get

AI Security Remediation Roadmap
Oversharing & Access Plan
Purview Policies & Configuration
AI Governance & Responsible AI Framework
Security & Compliance Guardrails
AI Security & Readiness Dashboard

Ready to make Copilot safe to deploy?

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Where This Fits

This service sits in the Build stage of the Taiga AI engagement journey.

Plan
Prioritize the right opportunities.
Prove
Validate value quickly.
Build
Put AI into production.
● You are here
Scale
Grow adoption and impact.

FAQ

Timelines depend on the scope of oversharing and the number of policies to configure. We define a realistic timeline together at kickoff.
Not always. If gaps are already known, we can move straight into remediation and governance.
Licensing depends on the specific Purview capabilities in scope. We confirm requirements during the roadmap stage.
Remediation is planned and phased by department, data source or technology to minimize disruption to daily work.
We track remediation progress and risk reduction against a readiness score, validated continuously until targets are met.

Let's build your AI advantage.

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