Microsoft Reactor San Francisco

Security tooling has a flow-state problem. Every time a developer has to leave their IDE, jump to a different portal, wait for a scan, decipher a noisy report, and come back — another piece of context evaporates. Meanwhile, security teams are drowning in false positives and stale findings that don't reflect what's actually deployed. In this live session, we'll demo Canima, an autonomous AI-powered penetration testing platform built by offensive security experts, and show how it plugs directly into the workflow developers already live in: GitHub.

You'll see how to:

• Trigger full pentests from a GitHub Actions workflow — on every PR, merge, or on a schedule Surface validated, exploitable findings (with proof-of-concept) directly where developers are already working
• Give security teams a single pane of glass across web apps, APIs, cloud, and internal infrastructure — without slowing shipping velocity
• Replace periodic, point-in-time pentest reports with continuous, context-aware adversarial testing

Whether you're a developer tired of context-switching into security tooling, or a security engineer tired of chasing false positives, you'll leave with a clear picture of what "continuous pentesting, developer-native" actually looks like in practice.

Learn how to use Middleware's AI agent (opsAI) to auto detect and fix issues across infrastructure and applications.

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This session helps customers confidently adopt usage-based billing in GitHub by showing how to plan, govern, and control spend using built-in budget capabilities.

We walk through how usage-based billing translates into AI credit consumption, then connect that to a layered budget model spanning enterprise, cost center, and user-level controls.

By the end, participants will understand how to set the right guardrails, monitor usage, and prevent runaway costs while still enabling teams to scale AI-powered workflows effectively.

This session is appropriate for GitHub Copilot Administrators and development leaders.