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Secure and Govern AI with Microsoft

Reduce risk, ensure compliance, and unlock value from AI

The Challenge

AI is changing how work gets done—but it also introduces new risks faster than most organizations can react.

  • Employees use tools like Copilot and ChatGPT with sensitive data—often without controls
  • AI outputs may include false, harmful, or biased content that damages trust and reputation
  • AI apps are often developed or integrated without IT or security involvement
  • Regulators are moving fast—EU AI Act, NIST AI RMF, and others are setting new standards

 

80% of business leaders cite data leakage as their top concern with AI adoption.
78% say employees are using unmanaged AI tools in the workplace.
(Source: Microsoft Work Trend Index, ISMG GenAI Study 2024)

Why Companies Must Act Now

1. Prevent Costly Breaches

AI tools can unintentionally expose confidential data—like trade secrets, contracts, or personal records. Prompt injection and shadow AI use make detection difficult until it’s too late.

2. Meet Regulatory Expectations

AI governance is no longer optional. Regulators require organizations to log AI usage, assess privacy risks, and ensure transparency and control in how AI is used and developed.

3. Safeguard Brand Trust

Customers and employees expect responsible AI. Misuse of AI—or failure to secure it—can result in reputational damage, legal claims, and lost customer confidence.

4. Enable Safe Innovation at Scale

With the right controls in place, AI can drive massive productivity gains. But scaling AI without security is like driving without brakes. Governance enables safe acceleration.

The Opportunity

By proactively embedding security and governance into your AI strategy, your organization can:

  • Safely deploy Microsoft Copilot and other GenAI tools
  • Reduce legal and compliance risks
  • Protect data from accidental leaks or misuse
  • Build a sustainable foundation for AI innovation

Our Approach

We help organizations implement Microsoft’s AI security stack to mitigate risks and ensure readiness.

 

1. Prevent data leaks and oversharing

Secure data before it’s accessed by Copilot or other AI tools.

  • Apply sensitivity labels and data loss prevention (DLP) policies
  • Use Microsoft Entra for identity and access control
  • Detect shadow AI and unsanctioned apps with Defender for Cloud Apps
  • Restrict sensitive data from being pasted into unmanaged AI tools

2. Protect AI apps from vulnerabilities and threats

Establish secure development and deployment of AI-powered applications.

  • Use Microsoft Purview for data governance with qualify controls
  • Scan AI workloads with Microsoft Defender for Cloud
  • Detect prompt injection and emerging threats with Azure AI Content Safety
  • Monitor anomalous behavior using Insider Risk Management

3. Govern AI to ensure compliance

Get ahead of AI regulations and meet legal obligations.

  • Log and audit AI interactions with Microsoft Purview
  • Discover all AI assets using Defender for Cloud
  • Maintain project documentation and risk controls with Azure AI Foundry
  • Prepare for audits using Microsoft Compliance Manager
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Why AI Security &
Governance Matter

AI is powerful—but also unpredictable. Without controls, AI can:

  • Expose confidential information through user prompts or model outputs
  • Generate false, harmful, or biased content without accountability
  • Bypass traditional data security if apps are built or used outside IT governance
  • Create liabilities for privacy violations and content misuse

 

AI security and governance are not optional—they are the foundation for sustainable, trustworthy AI.

Deliverables

  • AI security posture assessment
  • Data protection plan for Copilot and other AI tools
  • Deployment of DLP, labeling, and DSPM policies
  • Governance framework aligned to AI regulations
  • Ongoing managed services and monitoring (optional)

Let’s Talk

Book a free consultation to assess your AI governance needs and start mitigating risk.

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