Apply Zero Trust Principles to AI Systems

Transform your approach to AI security with:

  • Identity-based access
  • Least privilege enforcement
  • Continuous verification across the AI lifecycle.

Secure AI Applications

Secure AI applications and agents against emerging threats with:

  • Microsoft Defender for AI
  • Content safety guardrails
  • Vulnerability management.

Structured Approach to AI Governance

We take a structured, risk-informed approach to AI governance, starting with quick wins and scaling to enterprise-wide controls.

Why AI Governance Matters Now

As organisations scale AI adoption, the risks of ungoverned AI agents, data exposure, and compliance gaps grow exponentially. Without unified governance, shadow AI proliferates and security blind spots emerge.

01. Visibility & Control Gaps

29% of employees use unsanctioned AI tools. Without centralized observability, organisations lack visibility into which agents exist, what data they access, and what risks they pose.

02. Data Security Risks

99% of organisations have experienced sensitive data exposure through AI tools. Without DLP policies and governance controls, AI systems can leak PII, financial data, and confidential information.

03. Regulatory Compliance Pressure

Stricter AI regulations require transparency, accountability, and audit trails. Organisations need governance frameworks that align with the EU AI Act, NIST guidelines, and industry standards.

AI Strategy & Enablement Workshop

Unleash Innovation → Explore Technology → Shape Tomorrow
Outcomes

  • Practical GenAI architecture & security strategy
  • Tailored AI governance framework
  • Intelligent agent demos in real workflows
  • Co-created roadmap for scaling AI enterprise-wide

Topics Covered

  • Enterprise-grade AI network & connectivity
  • Data privacy, encryption & responsible LLM use
  • Governance, risk management & responsible AI frameworks
  • Task-driven AI agent demo with OpenAI tools
  • AI opportunities in customer service, HR, legal & operations
  • Visioning, road-mapping & capability uplift planning

Who Should Attend?

  • CIOs & CTOs
  • Enterprise Architects
  • Data & AI Leads
  • Security, Risk, and Governance Stakeholders
  • Operational Leaders
  • Transformation Programme Managers

Comprehensive AI Governance & Security

From strategic planning to technical implementation, we deliver end-to-end AI governance solutions built on Microsoft’s trusted platform.

AI Strategy & Roadmap Development

Define your AI vision, identify high-value use cases, and create actionable roadmaps aligned with business objectives and risk appetite:

  • Current state assessment and AI maturity evaluation
  • Use case prioritization and business value mapping
  • Multi-year AI transformation roadmap
  • Executive stakeholder alignment workshops
  • ROI modeling and capability uplift planning

Enterprise AI Governance Frameworks

Establish unified governance with Microsoft Purview for centralized control, observability, and compliance across your AI estate:

  • Centralized AI agent registry and inventory
  • Data classification schemas and sensitivity labeling
  • Governance council structure and operating model
  • Policy framework for responsible AI development
  • Compliance controls for regulatory requirements

Zero Trust for AI Implementation

  • Agent identity management with Microsoft Entra Agent IDs
  • Conditional Access policies for AI applications
  • Least privilege enforcement with scoped service accounts
  • Real-time risk assessment and adaptive controls
  • Network segmentation and private endpoint configuration

AI Security & Threat Protection

  • Prompt injection and jailbreak attack mitigation
  • Azure AI Content Safety integration
  • Microsoft Defender for Cloud AI threat protection
  • Security Operations Centre (SOC) integration
  • AI Red Teaming and penetration testing

Data Governance & Protection

Prevent data leakage and ensure compliance with Microsoft Purview’s unified data security, DLP policies, and insider risk management:

  • Data Loss Prevention (DLP) policies for AI interactions
  • Sensitivity label enforcement and auto-classification
  • Data Security Posture Management (DSPM) for AI
  • Insider Risk Management for agent data access
  • Data residency controls and sovereign cloud options

AI Observability & Monitoring

Gain full visibility into AI agent behavior, resource usage, and performance with centralized monitoring and alerting via Agent 365 and Azure Monitor:

  • Centralized agent control plane with Agent 365
  • Real-time monitoring of agent activity and resource usage
  • Azure Log Analytics and Application Insights integration
  • Anomaly detection and threshold-based alerting
  • Microsoft Sentinel SIEM integration for security events

Phased Governance Implementation

Foundation & Assessment
Define shared data classification schemas, map critical assets, inventory AI use cases and data sources. Conduct DLP and control gap analysis. Align on standards for AI agent creation and establish governance council structure.

Pilot & Policy Deployment
Build shared risk register and prioritize pilot use cases. Deploy sensitivity labels and DLP policies to pilot business units. Implement Agent 365 for centralized agent registry. Roll out automated controls for high-risk scenarios.

Enterprise Rollout & Integration
Scale governance policies across all business units. Integrate Microsoft Defender for AI threat protection. Deploy Zero Trust controls with Entra Agent IDs and Conditional Access. Establish SOC integration with Sentinel for security monitoring.

Continuous Improvement & Optimization
Establish monthly governance council to refine controls. Conduct AI Red Teaming exercises. Monitor compliance metrics and audit trails. Update policies based on regulatory changes and emerging threats. Optimize cost and performance.

Why Agile Insights for AI Governance?

Microsoft Solutions Partner with Advanced Specialization in AI:

  • Proven governance expertise across government and enterprise organisations in Australia.
  • Advanced specialization in AI with certified architects across Microsoft Purview, Agent 365, Azure AI, and Microsoft Entra.
  • Deep understanding of sovereign cloud requirements and local compliance obligations.
  • Guidance on Microsoft’s Responsible AI Standard and industry best practices.

Frequently Asked Questions

What is Agent 365 and why do we need it?
Agent 365 is Microsoft’s centralized control plane for AI agents, providing unified observability, governance, and security across your entire AI estate.

How does Zero Trust apply to AI systems?
Zero Trust for AI extends traditional principles to autonomous agents and AI applications.

What is Microsoft Purview's role in AI governance?
Microsoft Purview provides unified data security and governance for AI systems across your data estate.

How do you secure AI agents against prompt injection attacks?
Defending against prompt injection requires multiple layers of protection.

What regulatory frameworks does your governance approach align with?
Our AI governance frameworks align with multiple regulatory standards and industry best practices.

How do you handle data residency and sovereign cloud requirements?
We leverage Microsoft’s Sovereign Cloud capabilities to ensure compliance.

What's the difference between AI governance and AI security?
AI governance focuses on policies and processes, while AI security involves protecting against cyber threats.

How long does it take to implement enterprise AI governance?
Implementation timelines vary based on organizational size and scope.

Can you govern AI agents built outside the Microsoft ecosystem?
Yes, we support interoperability with third-party agents and open-source frameworks.

What ongoing support do you provide after governance implementation?
AI governance is an ongoing operational practice, supported by various models.