Microsoft Agent-a-Thon: Build an AI Agent, Live, in One Session

 No code. Real impact. Microsoft is running a global, hands-on Agent-a-Thon on September 17, 2026 — a live, guided build session where you walk away with an actual working AI agent, not just slides. 

The Agent-a-Thon is a free, live virtual event structured around three levels, each aligned to a different agent tool and depth of build. You pick the level that matches your skill and role, follow a short pre-learning course beforehand (delivered with Founderz), then join a live session with real-time support to actually build. 

Level 1: Explorer — Build Your First AI Agent Uses Agent Builder in Microsoft 365 Copilot. No-code, fundamentals-focused — ideal if you want to see how quickly an idea becomes a working agent.

Level 2: Maker — Build Powerful AI Agents Uses Copilot Studio. Still no-code, but focused on automating work, connecting systems, and building scalable agents that solve real organizational problems.

Level 3: Architect — Build Production-Grade Agents on Microsoft Foundry For developers, engineers, and architects. Covers orchestration, multi-agent capabilities, and secure, production-grade workflows — taking an agent from prototype to production at speed.

When and Where

All three levels run on September 17, 2026, with separate live sessions across three regional blocks:

• Americas — 11:00 AM–2:00 PM ET
• Asia (Australia, NZ, ASEAN, India, Korea, Japan, GCR) — 2:00 PM–5:00 PM AEST
• EMEA — 12:30 PM–3:30 PM (GMT+1)

Each region and level has its own registration link, so pick the one matching your timezone and the level that fits your role.

Why It's Worth Blocking the Time

This isn't a webinar you passively watch — it's a genuine build session with live support, meaning you leave with a working agent and hands-on familiarity with the tool, not just notes. There's also a competitive angle: participants can qualify for recognition and prizes, including a Microsoft Surface Pro grand prize. 

For anyone still mapping which of Microsoft's build tools fits their role — a question this blog has spent the last few weeks untangling — this is the fastest way to get real hands-on time with three of them (Agent Builder, Copilot Studio, and Foundry) in a single day, guided, with nothing to lose by trying.

Pick your level based on how deep you want to go — Explorer if you're new to agent building, Maker if you're solving a real business workflow, Architect if you're the one who'll own this in production. Either way, register early and do the pre-learning course so the live session actually lands.

Read here to know more: Microsoft Agent-a-Thon – Official Event Page

Zero Trust Workshop + Assessment: Microsoft's Two-Tool Framework for Your Zero Trust Journey

Zero Trust isn't a single project — it's a journey that needs both a plan and a way to measure progress. Microsoft just brought those two pieces together under one roof, with fresh pillars on both sides. Here's the roundup. 

The Framework: Two Tools, One Mission

Microsoft now frames Zero Trust around a simple pairing: plan with the Workshop, assess with the Assessment. Both live together at the new Microsoft Zero Trust hub, alongside a step-by-step guide for running a full Zero Trust strategy session.

Tool 1: Zero Trust Workshop — Now with DevSecOps

The Workshop is the planning side — an interactive tool to build your Zero Trust roadmap. It just picked up an 8th pillar: DevSecOps, bringing application security and dev practices formally into the framework. 

• 8 pillars, including the new DevSecOps pillar
• First-Then-Next structure to prioritize what to tackle and when
• Auto-generated summaries and implementation plans tailored to your org

Try it: Launch Workshop →

Tool 2: Zero Trust Assessment — Expanded Coverage

The Assessment is the measurement side — it connects to your Microsoft Entra tenant and automates posture checks. Coverage now spans 7 pillars, with Infrastructure, Security Operations, and AI added this round, plus a revamped Overview page for aggregated insights. 

• 7 pillars, including Infrastructure, Security Operations, and AI
• Connects directly to your Entra tenant for automated checks
• Guides you through prioritized, actionable remediation
• New Overview page for a single view of risk across pillars

Try it: Run Assessment →

(We covered the Assessment's pillar expansion in our previous roundup — this is the fuller picture, now paired with the Workshop.)

See It First

Not ready to connect a tenant yet? Walk through a live demo of the Assessment experience — including the new Infrastructure, Security Operations, and AI pillar views — before you run it for real. 👀

Explore: View Assessment Demo →

Go Deeper

• Step-by-Step Delivery Guide — for running a full Zero Trust strategy session, partner or internal

• Zero Trust Guidance Center

• Zero Trust Partner Kit

• GitHub Repo

Bottom Line

Plan with the Workshop, measure with the Assessment — that's Microsoft's Zero Trust pitch now, and the toolset finally matches it. If you've only run the Assessment so far, the Workshop's new DevSecOps pillar is worth a look. 

Copilot Studio, Agents Toolkit, Copilot Agent Kit, Agent 365 — Untangling Microsoft's Agent Naming Maze

If you've tried to figure out which Microsoft tool actually does what in the agent-building space, you're not alone. The names sound almost interchangeable — Agents Toolkit, Copilot Agent Kit, Agent Builder, Agent 365 — but they solve completely different problems. Here's the map, straight from Microsoft's own documentation.

Start With the Question: Build, Manage or Govern?

Most of the tools in this space fall into the below broad layers:

• Build — Agents Toolkit, Copilot Studio, Agent Builder, SharePoint agents
• Manage & optimize — Copilot Agent Kit
• Govern & secure — Agent 365

Mixing these up is where most of the confusion starts.

The Build Tools: Four Options, No-Code to Pro-Code

Microsoft's own comparison guide lists four supported tools for building a declarative agent for Microsoft 365 Copilot, spanning pro-code, low-code, and no-code approaches:

• Microsoft 365 Agents Toolkit (pro-code) — built for developers who need full control over their coding environment, source control, and direct API integration. It supports custom API actions, advanced Adaptive Cards, the Microsoft 365 Agents SDK, CI/CD integration, and local testing through the Microsoft 365 Agents Playground — without needing a developer tenant or a tunneling tool like ngrok. New capabilities are often available first here before reaching Copilot Studio or Agent Builder. The trade-off: no drag-and-drop Power Platform connectors, and agents built here can't be reused in low-code tools like Copilot Studio.

• Copilot Studio (low-code) — a drag-and-drop interface with Power Platform integration and hundreds of prebuilt connectors. Don't mistake "low-code" for "small-scale": Microsoft's guidance positions it for agents that integrate external data sources, call APIs, orchestrate complex workflows, and connect to systems beyond Microsoft 365 — ideal for departmental or enterprise-wide solutions, with prebuilt governance and deployment tooling built in.

• Agent Builder (no-code) — built directly into Microsoft 365 Copilot. Users just describe what the agent should do, with no coding experience required. Ideal for quick, lightweight agents — a writing coach, an onboarding buddy — for personal or small-team productivity.

• SharePoint agents (no-code) — created by site owners or editors, drawing only on a specific site's document libraries. Easy to access since they're integrated directly into SharePoint and discoverable in Teams, but not built for large-scale or highly complex use cases.

Two details worth knowing:

• Agents Toolkit and Copilot Studio are not interchangeable paths — Agents Toolkit and Copilot Studio follow different development models and artifacts. Migration or reuse is not a simple lift-and-shift exercise.
• Agent Builder and Copilot Studio, by contrast, do connect: Microsoft documents a Copy to Copilot Studio option directly inside Agent Builder's menu, letting you start lightweight and graduate an agent into Copilot Studio's advanced lifecycle management, analytics, and governance controls once you outgrow the in-chat builder.

The Management and Governance Tools: Two, Scoped Very Differently

Copilot Agent Kit, built and maintained by the Power CAT team, provides tools to build, test, govern, and optimize custom agents in the Copilot Studio ecosystem. It's not a separate agent-building platform — it's a toolkit that adds testing, debugging, governance, analytics, and optimization capabilities around your agents.

• Batch testing with pass/fail results and latency data
• Compliance Hub, which continuously evaluates agent configurations against governance controls to flag risks and policy violations
• Agent Inventory, giving admins a tenant-wide view of every custom agent, its authentication mode, and knowledge sources
• Agent Debugger, Agent Review Tool, and an Agent Value dashboard for classifying agents by business impact

Microsoft Agent 365 governs agents at enterprise scale — Microsoft's own documentation describes it as providing the ability to observe, govern, and secure the growing number of agents within an organization, extending Microsoft's identity, data, and threat-defense capabilities across the AI ecosystem. In practice that means:

• A centralized agent registry inside the Microsoft 365 admin center, giving a unified view of agent adoption, activity, and health
• Microsoft Entra enforcing risk-based access controls for users and agents acting on their behalf
• Microsoft Purview providing visibility into data risks through information protection and DLP
• Microsoft Defender extending threat detection and protection across the agent ecosystem
• An Agent 365 SDK, for developers who want to connect existing agents to Microsoft Agent 365 for enterprise-grade visibility, governance, security, identity, and lifecycle management, regardless of where or how the agent was built.

Agent 365 extends the same infrastructure organizations already use for managing people — identity, access, compliance — to agents instead.

The Practical Takeaway

• Need full pro-code control, source control, CI/CD? → Microsoft 365 Agents Toolkit

• Need a low-code agent with workflows, integrations, and enterprise-grade lifecycle management? → Copilot Studio

• Need to build a simple agent quickly, no code? → Agent Builder

• Need an agent grounded in one SharePoint site's content? → SharePoint agents

• Need to test, debug, and optimize a Copilot Studio agent? → Copilot Agent Kit

• Need to govern every agent across the org, any platform? → Agent 365

None of these compete with each other — they sit at different layers of the same stack. The real skill isn't picking a favorite; it's knowing which layer you're actually solving for.

Worth Knowing: A Few More Pieces Not Covered Here

This post focused on the Microsoft 365 Copilot side of the agent story — but the wider Microsoft agent ecosystem goes further, and it's worth knowing these exist even though they're outside today's scope:

• Microsoft Foundry — Microsoft's broader AI platform for building, deploying, and scaling AI applications and agents. It provides access to models, agent services, tools, evaluation, observability, security, and governance, and supports agents built with different frameworks and models. It is a strong fit when an agent needs to run and scale as an Azure-based workload rather than primarily living inside Microsoft 365.

• Microsoft Agent Framework — Microsoft's unified, multi-language framework for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for Python, .NET, and Go (Go currently in public preview). It brings together concepts and capabilities from Semantic Kernel and AutoGen, providing primitives for workflows, memory, tools, middleware, human-in-the-loop scenarios, and agent-to-agent interactions.

• Microsoft Entra Agent ID — provides dedicated identities for AI agents, separate from human users and traditional application identities. It provides the identity foundation for authenticating and authorizing agents, managing their lifecycle, and applying access and governance controls as agents interact with enterprise resources.

These deserve their own dedicated post rather than a rushed mention here — but if you're mapping out an enterprise agent strategy, know that the six tools above aren't the whole picture.

The Bottom Line

Microsoft's naming hasn't made this easy — the capabilities and trade-offs evolve quickly, and some capabilities may appear in Agents Toolkit before reaching Copilot Studio or Agent Builder. "But once build, management, and governance are separated, and Copilot Agent Kit and Agent 365 are understood as operating at entirely different scopes rather than competing, the picture holds together. Bookmark this if an agent strategy conversation is coming up — it'll save the same untangling exercise this post just went through.

Read here to know more: Choose the Right Tool to Build a Declarative Agent – Microsoft Learn

Also review: Copilot Agent Kit overview – Microsoft Learn

And: Microsoft Agent 365 overview – Microsoft Learn

For the wider ecosystem: Microsoft Foundry documentation and Microsoft Agent Framework overview

Also watch: Modernizing Azure Agents with Agentic Identities

Stay tuned for more updates...

Analytics Hub: Microsoft's Free Toolkit to Measure Copilot Adoption, Impact & ROI

Every enterprise rolling out Microsoft 365 Copilot eventually hits the same question from leadership: "Is it actually working?" Microsoft just made it a lot easier to answer — with data, not guesswork.

What Is Analytics Hub?

Analytics Hub is an open-source collection of 23 Power BI templates, PowerShell exporters, and web apps built to measure Copilot adoption, agent usage, sentiment, ROI, license utilization, and super-user impact — all running entirely inside your own tenant. Nothing is uploaded, no telemetry leaves, and everything is MIT-licensed, so you can fork it and adapt the measures to your own environment. 📊

Where This Fits Alongside What You Already Have

Analytics Hub isn't the first way to measure Copilot adoption — Microsoft already ships a few native options, and it's worth knowing where each one stops before you see why this toolkit matters:

• Microsoft 365 Copilot Dashboard (in Viva Insights) — the out-of-the-box starting point. Gives org-level usage trends, feature adoption, and a baseline "time saved" estimate, but stays fairly high-level and doesn't go deep on cost, license optimization, or agent-level detail.

• Viva Insights advanced reporting — richer person- and group-level behavioral data, but built for broader productivity analytics, not Copilot-specific ROI framing.

• Microsoft 365 Admin Center usage reports — solid for raw license assignment and activation counts, but not built to answer "is this actually driving value."

• Power Platform admin center analytics — covers Copilot Studio agent-level usage, but lives in its own silo, separate from M365 Copilot and GitHub Copilot data.

Each of these is genuinely useful, but they're scattered across different portals, and none of them stitch adoption, cost, and ROI into one defensible story you can take to leadership. That's the gap Analytics Hub closes — it's less a replacement for these native tools and more the connective layer on top, pulling from the same underlying data (Purview, Entra, Viva Insights, Copilot credit consumption) into a unified, fork-and-customize reporting layer.

Two Standout New Additions

• ValueLens for Microsoft Copilot Turns every Copilot and agent signal into hours saved, assisted value, and adoption maturity — a defensible ROI story instead of a raw seat count. Also covers licence readiness for renewals and agent governance for sprawl.

• Consumption Central One template covering Copilot credit consumption and cost across four products — Cowork/Work IQ, Copilot Studio, GitHub Copilot, and Azure AI Foundry. Four separate portals, finally rolled into one view — genuinely useful if you're tracking spend the way I broke down in my Copilot Credits post.

What Else Is in the Toolkit

The catalog spans six categories, and there's real depth here:

• Usage & Intelligence — AI-in-One Dashboard (the flagship, unifying Copilot, Copilot Chat, Agents, and third-party AI signals), Copilot Chat & Agent Intelligence, StudioLens for Copilot Studio

• Adoption & Behaviour — Super Usage Adoption, Super User Impact, Adoption & Sentiment Report, Personal Copilot Dashboard

• Impact & ROI — Cowork Billing Report, Cowork ROI Model, Cowork Chargeback, FinOps & FOCUS Cost Report, ESS Insights

• Readiness — M365 Copilot Readiness Report (ranks users by app fluency to plan enablement waves), Cowork Policy Helper

• Developer — GitHub Copilot Impact, What I Did: Copilot Impact Report

• Tooling — PAX (Portable Audit eXporter for Purview/Entra), CustomizeCopilot add-on library

Most templates ship with a synthetic sample dataset, so you can preview the full report before pointing it at a live tenant. 

If you're accountable for Copilot adoption or spend in any capacity, this is worth exploring this week — start with the Explore Reports matrix, pick the two or three templates matching your immediate question (adoption? cost? readiness?), and run them against the sample data before touching your tenant.

A quick credit where it's due: this toolkit is built and maintained by Microsoft's Growth & Incubation team — People Scientists, Business Value Advisors, and Solutions Architects who, by their own words, read every GitHub issue and feed reader friction back into the next release. It's rare to see this level of practitioner-built, genuinely free tooling from a vendor. Worth a thank-you if it saves you the build effort. 

Read here to know more: Analytics Hub – Microsoft

Explore the full catalog: Explore Reports – Analytics Hub

The Microsoft 365 Copilot Agent's Playbook: A Free 4-Part Livestream Series

Microsoft Reactor is running a four-part livestream series featuring engineers and product makers from Microsoft — direct access to the teams building the features shaping Microsoft 365 Copilot agents today. Free, live, with Q&A.

What the Series Covers

The Microsoft 365 Copilot Agent's Playbook focuses on how modern Microsoft 365 Copilot agents — including declarative agents — are built, grounded, extended, and evaluated. Each session pairs a short presentation with live demos and open Q&A. 

What you'll walk away with:

• Extending agents with Skills and actions
• Grounding responses with enterprise context using Work IQ
• Connecting MCP apps for interactive user experiences
• Evaluating and improving agent quality with Microsoft 365 Copilot Evals

The Four Sessions

🗓️ Aug 18 — Skill Up: Adding Skills to Your Agent in Microsoft 365 Copilot How Skills extend Declarative Agents with new capabilities, actions, and knowledge for your business scenarios.

🗓️ Aug 25 — Context Is Everything: Building Agents That Know Your Work Context How Work IQ helps agents understand the people, projects, and information that matter most in your organization.

🗓️ Sep 01 — MCP Apps: Bringing Interactive UI to Microsoft 365 Copilot Connecting MCP Apps to Declarative Agents, turning agent responses into actionable, interactive workflows.

🗓️ Sep 08 — Terminal First Approach to Build and Evaluate Microsoft 365 Copilot Agents A developer-first approach using M365 Agent Evals and skill-based tooling — from the command line to production readiness.

All sessions run 4:00–5:00 PM UTC. 

Read here to know more and Register Soon: The Microsoft 365 Copilot Agent's Playbook – Microsoft Reactor

Copilot Studio Harnesses in Practice: Microsoft's Free Agent Academy

If you read my last post on Copilot Studio harnesses, the natural next question is — where do I actually learn to build on one? Microsoft has the answer, and it's free: Agent Academy, a self-paced, hands-on curriculum for mastering agent building in Copilot Studio, with a dedicated track for each harness.

What Is Agent Academy?

It's a structured, mission-based training program built around a "Recruit → Operative → Commander" progression — think of it as a field-training arc for agent builders. You start as a Recruit, work through hands-on missions, and earn an official digital badge (issued through the Global AI Community) when you complete each path. 

The Recruit rank splits into two paths, one per harness, and both start from zero:

• Standard Harness — best for rule-based, predictable conversations. Broadest coverage of classic Copilot Studio: topics, Adaptive Cards, Power Fx, agent flows.
• GitHub Copilot Harness — instruction-driven. Guide agent behavior with natural-language instructions, skills, tools, and workflows instead of manually built conversation paths.

Microsoft's own guidance: start with Standard if you want the broadest foundational coverage of Copilot Studio; start with GitHub Copilot harness if you're building on the new experience today and want the instruction-driven approach directly.

Track 1: Standard Harness (13 Missions)

The original, foundational course — comprehensive and hands-on, taking you from zero to a published, licensed agent. 🧭

What you'll build:

•  Core agent concepts — LLMs, RAG, declarative vs. autonomous agents
• A declarative agent deployed into Microsoft 365 Copilot
• A packaged, reusable solution for environment management
• A custom agent grounded in your own knowledge sources
• Adaptive Cards built with Power Fx and SharePoint
• Agent Flows triggered from Adaptive Card input
• Event-based triggers for autonomous behavior
• Publishing to Microsoft Teams and Microsoft 365 Copilot
• Licensing and billing fundamentals

Track 2: GitHub Copilot Harness (Recruit NextGen)

The newer track, built specifically around the harness I covered in my last post. It intentionally reuses the same IT support business scenario as the Standard track — so you're comparing architectures, not learning a new use case from scratch. 

What's different here:

• Instead of manually authoring topics and branching logic, you describe what your agent needs to do in natural language and let Copilot Studio generate the initial agent
• You refine the result — updating the agent name, adding knowledge sources, verifying instructions
• Missions cover adding skills, tools, and workflows rather than Adaptive Cards and agent flows
• The agent lifecycle follows create → build → test → publish → monitor

 Worth flagging before you start: this track runs on Copilot Credits — consumption-based billing during natural-language authoring, Preview, and Evaluation. Manual configuration in the Build and Monitor tabs doesn't consume credits, but the billing exception available to licensed Microsoft 365 Copilot users in authenticated employee scenarios doesn't apply here — so check your environment's credit capacity before diving in. Mission 09 covers this in full, and it lines up directly with what I covered in my Copilot Credits breakdown.

Completing this path earns the Recruit NextGen badge.

What You'll Need Before Starting (Either Track)

• A Microsoft 365 Developer tenant with SharePoint enabled
• Access to Copilot Studio (trial or licensed)
• Optional: basic familiarity with SharePoint, Power Platform, or Power Fx

Each track has its own Course Setup mission to get you there.

Why This Matters

Reading about harnesses is one thing — building an actual agent, publishing it, and understanding its licensing is what turns theory into a skill you can bring to your organization. Microsoft built this as genuinely practitioner-grade training, not marketing fluff, and both tracks are free. Doing both back-to-back is also the fastest way to feel the architectural difference between topic-based authoring and instruction-driven building — rather than just reading about it. 

Read here to know more: Agent Academy – Recruit (both paths)

Standard Harness track: Recruit – Standard Harness

GitHub Copilot Harness track: Recruit – GitHub Copilot Harness

Stay tuned for more updates...

Copilot Studio Harness Explained: Types, Examples, and What Each One Costs in Copilot Credits

Every agent you build in Microsoft Copilot Studio runs on a harness — and picking the right one is now a first-order architecture decision, not an afterthought. Here's a complete breakdown of what harnesses are, the three types available, and exactly how each one hits your Copilot Credits.

What Is a Harness?

You design the agent — the tools, knowledge, actions, and workflows. The AI model supplies the reasoning and generation. The harness is the runtime that sits in between: it decides when to call the model, what to send it, how to interpret what comes back, and which tool to fire next. It's invisible in the UI, but it's the thing quietly deciding how "smart" your agent actually feels — and how it gets billed.

The Three Harness Types

Standard Harness

Rule-based agents that follow the topics, conversation paths, and branching logic you explicitly define. No dynamic planning — it executes the exact structure you built.

Example: An IT onboarding agent that routes a laptop request through a fixed approval-then-provisioning flow.

Copilot Chat Harness

Built for extending Microsoft 365 Copilot itself with your organization's own knowledge, rather than standing up a separate agent.

Example: An employee onboarding assistant inside Copilot Chat that answers questions grounded in your SharePoint content.

GitHub Copilot Harness (the new one — GA August 3, 2026)

The most capable of the three. Natural-language-first authoring, deep reasoning, planning, and multi-step tool execution across files, systems, and other agents — the same engine behind Copilot Cowork and the GitHub Copilot coding agent. 

Example: An accounts-payable agent that reads incoming invoices, matches them against purchase orders, and routes exceptions for human approval — a long, multi-step process with ambiguous decision points that the Standard harness would struggle to script.

Quick pick rule: scripted and predictable → Standard. Layering AI onto Microsoft 365 Copilot → Copilot Chat. Messy, multi-step, needs reasoning and adaptation → GitHub Copilot harness. One catch either way — agents built on one harness can't be moved to another.

Harness vs. Copilot Credits

This is the part worth flagging to finance and governance before you scale adoption. Per Microsoft's Copilot Credits Guide (August 2026):

• Standard Harness — billed through Copilot Credits, but usage is generally lower and more predictable since it's just executing pre-built flows

• Copilot Chat Harness — billed through Copilot Credits, though rates don't apply to Microsoft 365 Copilot users in authenticated B2E scenarios

• GitHub Copilot Harness — billed in two stages: Creation (authoring, preview, evaluation) and Runtime (every task execution)

For the GitHub Copilot harness specifically, runtime cost is driven by four factors: 

• Models — which AI model is used, chosen for the quality/speed/cost the task demands
• Runtime — the managed cloud orchestration keeping the agent working, including long-running tasks
• Context — understanding of people, roles, and collaboration patterns drawn from emails, files, and meetings
• Tools — the actual actions taken: sending emails, updating documents, scheduling, and more

One thing that costs nothing: manual configuration work in the Build and Monitor tabs. Only LLM-powered authoring and actual agent execution draw from your credit pool.

Buying Copilot Credits

• Pay-as-you-go: $0.01/credit, billed in arrears at month-end, no upfront commitment

• Pre-Purchase Plan (P3): one-year upfront purchase with volume discounts — starting at 5% off for 300K credits, scaling up to 20% off at 300M credits

Credits pool at the tenant level across all Copilot Credit–powered experiences (Cowork, Work IQ APIs, Copilot Studio, Business Applications), so usage across the org draws from one shared balance.

The Bottom Line

Microsoft isn't just shipping a feature here — it's signaling where Copilot Studio is headed: fewer rigid flowcharts, more goal-driven agents that plan, adapt, and recover mid-task. The harness you choose shapes what your agent can do; the credit model behind it shapes what it costs. Model both before you commit to scaling an agent org-wide.

Read here to know more: Choose a harness – Microsoft Copilot Studio

Also review: Introducing a new harness for Copilot Studio

Watch here: Inside the new agent and workflow harness | Copilot Studio Updates August 2026

Full pricing detail: Microsoft Copilot Credits Guide – August 2026 (PDF)

Stay tuned for more updates...

Microsoft Frontier Transformation Week: Turn AI Strategy Into Action

AI strategy is one thing — deploying it at scale is another. Microsoft's next big virtual event is built to bridge exactly that gap. 

Microsoft Frontier Transformation Week is a global digital event designed for anyone taking AI from potential to production — with real-world demos, expert insights, and practical next steps. It runs across multiple regions, each on its own dates, so you can register for the one that fits your time zone

• Americas: August 11–14, 2026
• Asia/APAC: August 18–21, 2026
• China (Simplified Chinese): August 18–21, 2026
• EMEA: September 14–17, 2026

There's something for every role:

• Decision-makers — walk away with a strategy, not just a story: how to articulate your organization's AI maturity, what successful Frontier Transformation looks like in your region, and the building blocks for success
• Practitioners — go from knowing what agents can do to knowing how to deploy and optimize them, with real demos and technical best practices across Microsoft's products and solutions
• Developers — get the tools and learning to build something yourself, including highlights from Microsoft Build and new innovations to support your next project
• Small and midsize businesses — get a clear path to turning AI into business impact, with right-sized approaches and practical steps to deploy your first AI agents

Why it matters: this isn't another vision keynote — it's positioned as the bridge from AI strategy to deployable know-how, with role-based tracks and local context for your region. 

Register for your region:

• Frontier Transformation Week – Americas
• Frontier Transformation Week – Asia/APAC
• Frontier Transformation Week – China (Simplified Chinese)
• Frontier Transformation Week – EMEA

Microsoft's AI-Era Security Push: New Vision, New Platform, New Assessment, New Skills

AI is changing the physics of cybersecurity — and Microsoft just moved on four fronts at once: a new strategic vision, a new agentic security platform, an upgraded assessment tool, and a skilling series to build AI-specific defense skills. Here's the roundup. 

The Vision: Rethinking Security for the Age of AI

Microsoft Security EVP Hayete Gallot laid out why the old security playbook won't survive the AI era. Autonomous systems can now reason, adapt, and operate continuously — and attackers are moving at machine speed too. Microsoft's answer: a new "cyber stack," introduced as Project Perception, designed to continuously perceive risk across the entire digital estate, reason across massive context, and act at machine speed. 

Read more: Rethinking Security for the Age of AI

The Platform: Project Perception Enters Public Preview

The vision now has a name and a launch date. Project Perception is Microsoft's new agentic security platform — a workforce of specialized AI agents that reason over your security data, tools, and workflows to expose gaps, investigate threats, and remediate them continuously. It enters public preview on August 3, 2026, launching first inside Microsoft Defender. 🤖

• Red agents find potential attack paths and vulnerabilities before they're exploited
• Blue agents investigate findings and determine what represents real risk
• Green agents take corrective action and strengthen defenses
• Humans stay in control of every critical decision — this is agentic, not autonomous

Read more: Project Perception | Microsoft Security

The Assessment: Zero Trust Assessment Now Covers AI

Talk is one thing — measuring where you actually stand is another. The Zero Trust Assessment automates hundreds of security configuration checks across your tenant, aligned with the Secure Future Initiative and Zero Trust pillars — and it now spans seven pillars, including Infrastructure, Security Operations, and AI. ✅

• Connects to your Microsoft Entra tenant for an automated posture check
• Guides you through prioritized, actionable remediation steps
• Newly revamped Overview page for aggregated risk insights

Read more: Zero Trust Assessment Overview

The Skills: AI Red Team 101 Training Series

Once you know the risks and your posture, it's time to build the muscle. Microsoft's AI Red Team 101 is a modular training series covering generative AI vulnerabilities, attack techniques, and defenses — straight from lessons learned red-teaming 100+ generative AI products. 🎯

• Prompt injection (direct and indirect) with real-world case studies
• Single-turn and multi-turn attack techniques (like Skeleton Key and Crescendo)
• Defensive strategies and Microsoft's spotlighting techniques
• Automating red teaming at scale with PyRIT, Microsoft's open-source tool

Read more: AI Red Team Training

Stay tuned for more updates...

Microsoft Defender Challenge: Enroll and Complete Soon

Security teams today are defending across identities, endpoints, email, cloud workloads, and now AI environments too. Microsoft just launched a hands-on challenge to help you build exactly those skills. 

The Microsoft Defender Challenge is a free, curated learning experience running July 20 – August 21, 2026, focused on real-world skills across:

• Microsoft Defender XDR — the latest detection capabilities and unified incident response across identities, endpoints, email, and cloud apps
• Microsoft Sentinel — workspace architecture, data connectors, analytics rules, and building a mature SIEM/SOAR practice
• Microsoft Defender for Cloud — investigating, triaging, and responding to alerts across cloud and AI workloads

Who it's for: SOC analysts, security engineers, cloud security practitioners, and any IT pro looking to level up their security chops.

Complete the challenge on Microsoft Learn and submit the official sweepstakes entry form by August 21, 2026 for a chance to win one of 500 certification exam vouchers — 50% off toward:

• SC-200: Security Operations Analyst
• SC-500: Cloud and AI Security Engineer Associate

Access here to know more: Microsoft Defender Challenge

Microsoft's New Certification for AI-Powered IT Admins: AI Services Administrator Associate

AI isn't just a productivity layer anymore — it's mission-critical infrastructure. Microsoft just rolled out a certification built exactly for the admins who have to keep it secure, governed, and running. 

Microsoft 365 Certified: AI Services Administrator Associate validates your ability to configure, manage, secure, and govern Microsoft 365 tenants, workloads, and AI services — including Copilot, agents, and connected AI capabilities.

To earn it, you'll need to pass: Exam AB-650: Administering Microsoft 365 and AI Services (currently in beta)

• Configuring and managing Microsoft 365 tenants and workloads
• Securing and governing Copilot, agents, and connected AI capabilities
• Protecting data and information across users and agents
• Operating and continuously optimizing AI services at enterprise scale
• Collaborating across identity, security, compliance, and endpoint teams

Recommended background: experience with Microsoft 365 workloads and Microsoft Entra ID, an understanding of Defender XDR, and familiarity with Microsoft Graph PowerShell.

Access here to know more: New Microsoft 365 Certified: AI Services Administrator Associate Certification

Microsoft's New Certification for the Agentic Era: Multi-Agent AI Solutions Expert

The future of AI isn't a single model — it's systems of agents working together. Microsoft just rolled out a certification built exactly for that shift.

Microsoft Certified: Multi-Agent AI Solutions Expert validates your ability to design, build, and operate scalable, production-ready multi-agent AI solutions using Microsoft Foundry and Azure.

To earn it, you'll need to pass: Exam AI-500: Designing and Implementing Multi-Agent AI Solutions (currently in beta)

• Designing logical architecture for multi-agent solutions
• Building and integrating tool ecosystems
• Implementing multi-agent orchestration
• Evaluating, optimizing, and monitoring multi-agent solutions
• Securing, governing, and deploying multi-agent solutions

You'll first need the Azure AI Apps and Agents Developer Associate (AI-103) certification — it lays the Foundry and agent-development foundation that AI-500 builds on.

Access here to know more: New Microsoft Certified: Multi-Agent AI Solutions Expert Certification

Microsoft Launches MAI: Its Own Family of AI Models

At Build 2026, Microsoft introduced MAI (Microsoft AI) — seven in-house models spanning reasoning, coding, image, voice, and transcription, marking a shift away from its heavy reliance on OpenAI.

The flagship, MAI-Thinking-1, is a 35-billion-parameter reasoning model with a 256,000-token context window, trained entirely from scratch with no distillation from other labs. In blind testing, it was preferred over Claude Sonnet 4.6 and matched Claude Opus 4.6 on the SWE-Bench Pro benchmark.

The rest of the family includes MAI-Code-1-Flash (already in VS Code and GitHub Copilot), MAI-Image-2.5 (live in PowerPoint, ranked No. 2 on Arena.ai), MAI-Voice-2 for natural speech generation, and MAI Transcribe 1.5, which supports 43 languages.

Microsoft is emphasizing cost efficiency — an Excel-tuned MAI model reportedly matches GPT-5.4 at roughly a tenth of the cost — and is distributing the models beyond its own products via OpenRouter, Fireworks, and Baseten. A Mayo Clinic partnership for a healthcare-specific model was also announced.

For the Microsoft 365 and Copilot ecosystem, MAI signals that Microsoft is now building its own AI foundation, not just distributing others'.

Watch the MS Build video here: Microsoft AI CEO unveils 7 new AI models | Mustafa Suleyman at Microsoft Build 2026

Read below articles to know more 

Building a hill-climbing machine: Launching seven new MAI models

New MAI models in Microsoft Foundry across text, image, voice, and speech

Microsoft Copilot Expands Beyond OpenAI with Anthropic Claude

Microsoft is continuing its multi-model AI strategy by bringing Anthropic Claude models into the Microsoft Copilot ecosystem. Organizations can now leverage Claude models within Microsoft 365 Copilot and Copilot Studio for advanced reasoning, research, workflow automation, and agent-based scenarios, while still benefiting from Microsoft's enterprise-grade security, compliance, and governance capabilities.

The key benefit for organizations is flexibility. Customers can choose the most suitable AI model for different business scenarios while continuing to leverage Microsoft 365 Copilot's security, compliance, governance, and seamless integration with enterprise data. This enables better outcomes for research, reasoning, automation, content creation, and custom AI agents.

Read here to know more: Anthropic joins the multi-model lineup in Microsoft Copilot Studio

Also review: Anthropic models in Microsoft Online Services | Microsoft Learn

Keep a tab on the Microsoft 365 Copilot Blog for latest updates.

Microsoft Scout: Your Always-On AI Agent Has Arrived

Microsoft just introduced Microsoft Scout — its first "Autopilot" agent and a genuinely new category in the AI agent space.

What is an Autopilot? Autopilots are always-on agents that work autonomously, with their own identity, and act on your behalf — staying active in the background without needing to be prompted each time.

What does Scout actually do? Scout is integrated across Microsoft 365 apps — Teams, Outlook, OneDrive, and SharePoint — and works across cloud, desktop, and web. It can proactively schedule meetings across time zones, flag important meetings, generate prep materials, block calendar time for upcoming deliverables, and surface risks like stalled decisions before they become blockers.

The intelligence layer: Work IQ Over time, Scout builds context powered by Work IQ — learning how you work, what you care about, and what needs to happen next — becoming more useful and aligned to your priorities.

Enterprise-ready from day one Every agent operates under its own governed Entra identity, credentials are scoped to the task at hand and redacted from logs, and Microsoft Purview data protection policies are enforced in the moment — before anything is sent or written.

How to get it Scout is currently available in private preview and through Frontier organizations. Access requires Frontier enrollment, Intune policy configuration, and a GitHub Copilot license.

Read here to know more: Introducing Microsoft Scout: Your always-on personal agent