The people who led AI Heroes.

How Microsoft Purview can limit data leakage to GenAI

In this session, we’ll present the mechanisms and features currently available in Microsoft Purview that let you audit, warn about or block the transfer of sensitive data to generative AI (GenAI) applications.

In other words, we won’t focus on how to use GenAI but on how to avoid “data leakage” into it.

Agentic Software Engineering with the GitHub Copilot Desktop App

Your day isn't bounded by how fast you can type — it's bounded by how many things you can hold in your head at once, and more editor autocomplete doesn't touch that tax. The unit of work is shifting from a line to a pull request: when agents can plan, implement, run, and shepherd a change to merge, the bottleneck becomes how many parallel outcomes you can credibly steer.

In this 40-minute session I'll work a real day end-to-end inside the GitHub Copilot desktop app, taking a seeded repo from a cold start to multiple shipped changes without a terminal or a git command — showing per-session git worktrees, agent plans you steer in plain English, one-click Run + Pick & Polish, and Agent Merge landing work on its own, with an honest line between where humans stay in the loop and where agents reliably take over. You'll leave with a mental model for agent-native development and a checklist of which parts of your own SDLC are ready to delegate this quarter.

From data to decisions with Microsoft Fabric IQ

See how Fabric IQ turns scattered data into a unified business model that powers analytics, AI and real-time decision-making.

In the session, we’ll show how ontologies help you understand data faster and eliminate semantic drift, from source to action.

Microsoft Copilot in student life

Through a presentation and live demo, the session shows how Microsoft Copilot gives students real support in their day-to-day studies and as they enter the job market. Target audience: university students in Poland.

From Assistant to Actor: The New Security Risks of Coding Agents

Over the last year, AI coding assistants have evolved into agentic systems that plan, act, and make changes across the developer workflow. These agents do not just suggest code anymore. They run tools, modify configs, manage dependencies, open pull requests, and sometimes fix issues end to end with minimal human input. This shift dramatically expands the attack surface. Prompt injection now targets agents instead of chat boxes, poisoned repositories influence multi step decisions, and a single compromised instruction file can steer an agent into leaking secrets, weakening security controls, or introducing backdoors while appearing helpful and correct.

This session looks at what agentic AI means for developer security in practice. We will break down how autonomous and semi autonomous coding agents fail, where trust in automation goes too far, and why traditional secure coding guidance is no longer enough. The focus is on concrete scenarios teams are already facing and on pragmatic guardrails that keep agents useful without giving them unchecked power. The goal is to help security and engineering teams work with agentic AI in a way that scales productivity while keeping control, visibility, and accountability firmly in place.

Copilot Cowork: when AI becomes part of the team

The most valuable resource at work is no longer information, but attention and time. In this session, I’ll show how Microsoft Copilot Cowork helps you win back both by taking over some of your daily responsibilities and supporting your work from idea all the way to outcome.

On the agenda: an overview of Copilot’s latest capabilities, a demo of Copilot Tasks and a look at Microsoft Scout, a new solution that will especially interest anyone following the evolution of AI agents. It’s a practical session about increasing your impact, not just your productivity.