Why attend?
✔️ Replace guesswork with evidence. Find out where your protections are too strict, too loose, or just right for your users.
✔️ Use Shield detections as a threat signal. The same data your app already produces becomes a source for your SOC, product security and fraud teams.
✔️ Use Insight where your teams already work. Events go to your SIEM through the pipeline you run today, and your team can query the same data from their own AI client.
✔️ Connect two teams that rarely meet. Show your app team and your security team the data they share, then forward the recording to the one who couldn't make it.
What you'll learn
- Decide when Shield should exit. Exiting on every detection keeps the app secure and costs you real users. See how to make that call on evidence instead of defaults.
- What your users really face in the wild. Real detection data, such as screen readers and other accessibility tools, shows which triggers are attacks and which are your customers.
- Tune, verify, repeat. A simple loop you can repeat: dial a protection down, analyze, dial it back up, verify. Then do it again. Detections from sessions Shield closed are still reported when the app restarts, so you keep the data your in-app analytics never receive.
- Send Shield detections to your SOC. Your customers’ devices are the one surface your SOC has no sensor on. See which signal combinations point to someone attacking your app, and how a customer-hosted Insight Agent forwards those events through your existing data pipeline into your SIEM.
- Ask the data your own questions. A live demo of Insight data in a standard AI client through MCP. Ask in natural language, filter more finely than the dashboard allows and let each answer shape the next question.
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