Mitigate Cloudshield

Are you deploying AI services inside Azure—Azure OpenAI, AI Foundry, custom models, or AI-enabled workloads—but uncertain whether your cloud security has kept pace? AI adoption inside Azure is outpacing security controls. AI services are routinely deployed without identity hardening, API endpoint protection, or coverage for AI-specific threats. Prompt injection, model abuse, data leakage, and misuse drift represent a new class of risk that conventional cloud security frameworks were never designed to address.

Mitigate CloudShield is a strategic professional services engagement that secures cloud and AI workloads end-to-end—turning AI services, identities, and APIs from blind spots into governed, monitored, protected assets. Through a structured Discover-Protect-Operate approach, our experts deliver a complete AI workload inventory, harden identity, network, application, and posture controls across the Microsoft cloud security stack, and stand up AI-aware monitoring and incident response readiness in Microsoft Sentinel.

Built natively on Microsoft Defender for Cloud, Entra ID, Azure Firewall, API Management, AI Content Safety, and Microsoft Sentinel, CloudShield activates the security capabilities you already own and operationalizes them for AI workloads—closing the gap between AI velocity and security maturity, and leaving your team with a defensible, AI-ready security baseline.

Why CloudShield?

- Closes the gap between AI deployment speed and cloud security maturity
- Covers AI-specific threats conventional cloud frameworks miss
- Built on Microsoft Defender for Cloud, Entra, and Sentinel
- Discover-Protect-Operate model aligned to the enterprise AI lifecycle
- Fixed-scope engagement with clear milestones and deliverables
- Backed by 20+ years of Microsoft security expertise across MEA

Engagement Outcomes:

- Complete AI workload inventory and risk exposure map
- AI-specific threat scenarios covered—prompt injection, model abuse, API exposure, data leakage
- Continuous cloud security posture enforced through Defender for Cloud

The Engagement: Discover · Protect · Operate

1. Discover
We conduct a comprehensive Azure cloud and AI workload risk assessment to establish ground truth. Our experts discover every Azure AI service and AI-enabled application in your subscriptions, audit identity and API endpoint exposure, and analyze posture gaps against Microsoft and industry baselines. The output is a prioritized AI workload inventory and risk exposure map.

2. Protect
We translate discovery into enforceable controls across four pillars:

- Identity: - Network: - Apps and APIs: - Posture and Workloads:

This phase explicitly covers AI-specific threats—prompt injection, data leakage, model misuse, and configuration drift.

3. Operate Readiness
We integrate AI workload telemetry into Microsoft Sentinel with automated playbook response.

What You Get:

- Full visibility into your Azure AI footprint and risk posture
- Hardened identities, networks, and APIs aligned with Zero Trust
- Coverage for AI-specific threats conventional security misses
- Defender for Cloud posture enforcement and policy baselines
- Sentinel-integrated AI threat monitoring and automated response

Ideal For: Azure-first organizations deploying AI services, development teams building AI applications, and cloud security leaders needing AI-aware posture management at scale.