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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.

This session is a part of a series! Learn more here

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