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AI-Powered Security Automation for Microsoft 365

$199.00
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Course access is prepared after purchase and delivered via email
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Self-paced • Lifetime updates
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Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
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AI-Powered Security Automation for Microsoft 365

You're not alone if you feel like you're constantly reacting to threats, drowning in alerts, and struggling to prove the value of your security efforts to leadership.

Microsoft 365’s native security tools are powerful, but without automation, they demand endless manual oversight. You’re overworked, under-resourced, and the pressure to stay ahead of cyber threats is relentless. One missed configuration, one delayed response could mean a breach.

The AI-Powered Security Automation for Microsoft 365 course is the strategic breakthrough you need. It’s not theory. It’s a comprehensive, step-by-step system designed to transform your security operations from reactive to predictive, from fragmented to unified, and from cost centre to strategic asset.

Within 30 days, you’ll go from uncertainty to delivering a fully automated, AI-integrated security workflow with a board-ready implementation plan that proves ROI. You’ll learn how to build intelligent playbooks, reduce false positives by up to 70%, and cut incident response time from hours to seconds-all validated through real-world implementation frameworks.

Take it from Sarah Lin, Senior Security Engineer at a 5,000-employee financial services firm: “After implementing just Module 3’s detection logic, we slashed alert fatigue across our SOC by 62% in two weeks. My team finally has breathing room to focus on proactive defence.”

This isn’t another generic certification prep course. It’s the operational blueprint elite security teams use to scale protection, demonstrate value, and future-proof their careers. Here’s how this course is structured to help you get there.



Course Format & Delivery Details

Self-Paced | Immediate Online Access | On-Demand Learning | Lifetime Updates

Learn Your Way, On Your Time

This course is fully self-paced with immediate online access. There are no fixed dates, no forced timelines. You can start today and complete the material in as little as 20–25 hours, with many learners applying core automation strategies within the first week.

Whether you’re in Sydney, London, or New York, your access is 24/7, mobile-friendly, and compatible with all major devices. Learn during downtime, between incidents, or during dedicated deep work sessions-without compromising your operational responsibilities.

Lifetime Access with Ongoing Updates

Enrol once, learn forever. You receive lifetime access to all course materials, including every future update at no additional cost. As Microsoft 365 Defender, Copilot for Security, and Power Automate evolve, so do your resources-ensuring your knowledge stays current, compliant, and cutting edge.

Direct, Role-Specific Instructor Guidance

Unlike static learning resources, you get structured guidance from a Microsoft-certified security architect with over 12 years of enterprise automation experience. Your learning path includes contextual check-ins, decision trees, and targeted troubleshooting support embedded throughout the curriculum.

Certificate of Completion from The Art of Service

Upon finishing the course, you earn a Certificate of Completion issued by The Art of Service, a globally recognized leader in professional upskilling with certifications held by over 120,000 practitioners in 145 countries. This credential signals technical mastery, operational discipline, and strategic insight to employers and stakeholders.

No Hidden Fees. No Surprises.

The pricing is straightforward, transparent, and inclusive. There are no monthly subscriptions, no upsells, and no hidden fees. One payment grants you full access-forever.

We accept all major payment methods: Visa, Mastercard, and PayPal.

Your Risk, Completely Removed

We stand behind this course with a 100% satisfaction guarantee. If you complete the material and don’t find it transformative for your role, submit your feedback and you’ll receive a full refund-no questions asked.

After enrollment, you’ll receive a confirmation email. Your access details and learning portal credentials will be sent separately once your course environment is fully provisioned, ensuring a smooth and secure onboarding experience.

This Works Even If…

  • You’re not a coder-you’ll use no-code/low-code tools like Power Automate and the Microsoft 365 Security Center.
  • You work in a small IT team with limited bandwidth-we give you prioritised automation blueprints that deliver maximum impact with minimal effort.
  • Your organisation hasn't fully adopted Microsoft 365’s security suite-you’ll learn how to identify capability gaps and build incremental upgrade paths.
  • You’re unsure where to start-we provide a diagnostic toolkit to map your current maturity and prioritise implementation steps.
Security professionals in roles like SOC Analyst, IT Director, Cybersecurity Manager, and Cloud Administrator have used this course to drive measurable reductions in mean time to respond, improve audit readiness, and gain recognition at the executive level. This isn’t hypothetical. It’s repeatable, structured, and designed for real environments.



Module 1: Foundations of AI-Driven Security in Microsoft 365

  • Understanding the evolution of Microsoft 365 security capabilities
  • Core principles of automation in enterprise cybersecurity
  • How AI augments human decision making in threat detection
  • Key components of the Microsoft 365 security stack: Defender, Purview, Identity
  • Differentiating reactive vs proactive security models
  • The role of machine learning in identifying anomalous behaviour
  • Introduction to Microsoft Secure Score and its automation potential
  • Common security gaps in unautomated Microsoft 365 environments
  • Mapping business risk to technical exposure
  • Establishing baseline metrics for automation success
  • Understanding user and entity behaviour analytics (UEBA) in Microsoft 365
  • How Microsoft Graph enables contextual security decisions
  • Introduction to threat intelligence integration
  • Identifying high-volume, low-risk tasks for automation
  • Security automation maturity model assessment


Module 2: Designing Security Automation Workflows

  • Principles of workflow design for security operations
  • Mapping incident types to automation triggers
  • Event-driven vs time-based automation logic
  • Creating decision trees for escalations and false positive filtering
  • Designing for least privilege execution in automated actions
  • Using conditionals and branching logic in security responses
  • Integrating human-in-the-loop approvals for high-risk actions
  • Template-based playbook development
  • Establishing escalation thresholds and time windows
  • Input validation and error handling in automation design
  • Using tags and metadata to prioritise incidents
  • Linking automation to Microsoft 365’s sensitivity labels
  • Building reusable automation components
  • Versioning and documentation of playbooks
  • Aligning workflows to NIST and ISO 27001 controls


Module 3: AI-Powered Detection and Response Frameworks

  • Configuring AI-driven anomaly detection in Microsoft Defender
  • Setting up custom detection rules using advanced hunting queries
  • Interpreting AI-generated risk scores for users and devices
  • Automating response to high-confidence threats
  • Building detection logic for credential stuffing attacks
  • Automating responses to impossible travel events
  • Detecting and blocking ransomware propagation in OneDrive and SharePoint
  • Using anomaly detection in Exchange Online mail flow
  • Integrating Microsoft Sentinel watchlists with automation triggers
  • Automated enrichment of alerts with user context
  • Creating dynamic indicators of compromise (IOCs) from telemetry
  • Setting up automated suppression rules for known safe activity
  • Building AI-assisted phishing classification models
  • Automated correlation of email, endpoint, and identity events
  • Leveraging Microsoft Copilot for Security for triage insights


Module 4: No-Code Automation with Power Automate

  • Overview of Power Automate in Microsoft 365 security
  • Connecting Power Automate to Microsoft Defender APIs
  • Using pre-built security templates in Power Automate
  • Creating automated email alerts with threat context
  • Auto-assigning incidents to SOC analysts based on skill
  • Triggering adaptive card notifications in Teams for urgent events
  • Automating user lockout and password reset workflows
  • Syncing security incidents with ITSM tools like ServiceNow
  • Automating remediation for high-risk sign-in alerts
  • Creating dynamic risk dashboards from automation outputs
  • Using conditionals to prevent automation overreach
  • Logging all automation actions for audit compliance
  • Integrating with Azure Active Directory for automated user blocking
  • Building approval workflows for high-impact actions
  • Exporting automation run history for documentation


Module 5: Identity and Access Automation

  • Automating risk-based Conditional Access policies
  • Creating adaptive authentication workflows
  • Automated review and revocation of stale access
  • Using identity protection risk levels to trigger actions
  • Automated provisioning and deprovisioning based on HR events
  • Integrating Azure AD access reviews with Power Automate
  • Alerting on legacy authentication usage
  • Automating multi-factor authentication (MFA) enforcement
  • Detecting and disabling anonymous sharing links
  • Automated cleanup of guest user accounts
  • Building just-in-time access requests with approval chains
  • Automated detection of password spray attempts
  • Blocking sign-ins from high-risk locations
  • Automated enforcement of named location policies
  • Responding to leaked credentials with auto-reset flows


Module 6: Email Security Automation

  • Automated detection of spoofed and impersonation emails
  • Quarantine and notification workflows for phishing
  • Auto-applying sensitivity labels to suspicious messages
  • Automated threat removal from mailboxes
  • Creating dynamic block senders lists based on threat intel
  • Automated incident reporting to compliance teams
  • Using safe links and safe attachments telemetry for automation
  • Automated recipient notifications for removed content
  • Handling mailbox rule exploitation through AI detection
  • Automated response to mass mail deletion events
  • Flagging and isolating mailboxes with anomalous forwarding rules
  • Automated archiving of quarantined messages
  • Integrating DKIM, DMARC, and SPF reports into workflows
  • Auto-generating monthly phishing simulation reports
  • Triggering user training after failed phishing tests


Module 7: Endpoint Detection and Response (EDR) Automation

  • Integrating Microsoft Defender for Endpoint with automation
  • Automated device isolation based on threat severity
  • Triggering memory scans on suspicious process execution
  • Automated collection of forensic artefacts
  • Creating playbooks for ransomware containment
  • Automated response to PowerShell-based attacks
  • Blocking malicious IPs at the device level
  • Automated remediation of persistence mechanisms
  • Scheduled scanning with dynamic thresholding
  • Automated software inventory and vulnerability flagging
  • Responding to unsigned driver loading attempts
  • Enforcing real-time protection policies across fleets
  • Automated remediation for cryptocurrency miner detection
  • Handling lateral movement detection with network blocking
  • Reporting compliance status to management dashboards


Module 8: Data Loss Prevention (DLP) and Compliance Automation

  • Automated response to sensitive data exposure in SharePoint
  • Enforcing DLP policies with user education workflows
  • Auto-classifying documents using AI-based labelling
  • Triggering alerts when PII is shared externally
  • Automated revocation of sharing links to confidential files
  • Integrating DLP events with audit logs
  • Automated data discovery scans across Microsoft 365
  • Scheduling periodic DLP policy effectiveness reviews
  • Automated user notifications for policy violations
  • Creating escalation paths for repeat offenders
  • Automating retention policy application based on content
  • Reporting compliance gaps to governance committees
  • Automated export of DLP reports for auditors
  • Linking insider risk signals to HR workflows
  • Auto-auditing sharing permissions across sites


Module 9: Advanced AI Integration and Copilot for Security

  • Understanding Microsoft Copilot for Security capabilities
  • Integrating natural language queries into SOC operations
  • Using Copilot to generate automation suggestions
  • Automating summary reports from raw telemetry
  • Building custom Copilot-powered dashboards
  • Interpreting AI-generated root cause analysis
  • Automating investigation steps based on AI insights
  • Reducing mean time to diagnose with AI assistance
  • Validating AI recommendations before automation
  • Setting up prompt-based automation triggers
  • Using Copilot to document incident timelines
  • Generating after-action reports with AI
  • Training custom models on organisational threat patterns
  • Automating feedback loops to improve AI accuracy
  • Ensuring ethical use of AI in security decisions


Module 10: Testing, Validation, and Staging

  • Creating a secure test environment for automation
  • Simulating attacks to validate playbook effectiveness
  • Using synthetic transactions to verify triggers
  • Measuring false positive and false negative rates
  • Conducting tabletop exercises with automation
  • Version control and rollback strategies
  • Validating permissions and scope of actions
  • Using logging to trace automation execution
  • Testing human-in-the-loop approvals
  • Validating integrations with third-party tools
  • Documenting test outcomes and improvements
  • Establishing success criteria for each playbook
  • Running performance benchmarks on automation speed
  • Ensuring compliance with change management policies
  • Peer review process for automation logic


Module 11: Deployment, Monitoring, and Operations

  • Phased rollout strategy for automation playbooks
  • Monitoring automation health and performance
  • Setting up health dashboards for SOC visibility
  • Alerting on automation failures or delays
  • Creating runbooks for escalation and troubleshooting
  • Integrating automation status into executive reports
  • Conducting weekly automation review meetings
  • Updating playbooks based on threat evolution
  • Automating maintenance tasks like certificate renewal
  • Tracking ROI of automation initiatives
  • Measuring reduction in analyst workload
  • Reporting on incident resolution time improvements
  • Sharing success stories with stakeholders
  • Establishing a centre of excellence for security automation
  • Incorporating lessons learned into future designs


Module 12: Governance, Auditing, and Continuous Improvement

  • Documenting automation for compliance audits
  • Integrating with GRC platforms for oversight
  • Ensuring automation aligns with regulatory standards
  • Automating compliance evidence collection
  • Handling data privacy in automated workflows
  • Reviewing audit logs for unauthorised changes
  • Establishing ownership and accountability
  • Setting up quarterly automation reviews
  • Measuring maturity growth over time
  • Aligning automation to business continuity plans
  • Automating disaster recovery verification tasks
  • Creating feedback loops from end users
  • Updating playbooks based on incident trends
  • Integrating threat intelligence feeds dynamically
  • Building a roadmap for next-phase automation


Module 13: Real-World Projects and Implementation Scenarios

  • Project: Automated response to account compromise
  • Project: Insider threat detection and containment
  • Project: Phishing campaign neutralisation workflow
  • Project: Zero-day exploit detection and alerting
  • Project: Cross-domain threat correlation system
  • Automating response to brute force attacks
  • Building a custom alert deduplication engine
  • Automated security awareness follow-up system
  • Creating an asset criticality scoring model
  • Automating privileged user monitoring
  • Project: Executive protection programme automation
  • Handling compromised service accounts
  • Automated response to suspicious SharePoint activity
  • Building a cloud app governance automation
  • Project: Automated board-level security report


Module 14: Certification, Career Advancement, and Next Steps

  • Preparing your Certificate of Completion submission
  • How to showcase automation projects on your resume
  • Integrating course outcomes into performance reviews
  • Using your certificate to pursue promotions or raises
  • Building a personal portfolio of automation playbooks
  • Networking with other security automation practitioners
  • Continuing education pathways in AI and security
  • Preparing for Microsoft SC-200 and SC-300 exams
  • Contributing to open-source automation frameworks
  • Positioning yourself as an internal subject matter expert
  • Presenting your implementation plan to leadership
  • Measuring business impact for career conversations
  • Accessing The Art of Service alumni resources
  • Joining the global security automation community
  • Earning your Certificate of Completion from The Art of Service