Date & time
17:00
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AI agents are no longer hypothetical users – they’re beginning to interact with applications directly, querying APIs, and triggering real actions.
For engineering leaders, this raises big questions about how to evolve their tech stack and set guardrails to meet these new user expectations and enable large language models (LLMs) to take actions once reserved for humans.
Join this online panel discussion to explore how AI is influencing longstanding assumptions about application security and access, enabling agents to securely access corporate assets and coexist with existing APIs. We will explore the decisions leaders need to be making to future-proof their systems, including changes to product architecture and team workflows.
Key takeaways:
- How to safely enable AI tools like ChatGPT, Claude, and Gemini to interact with your app.
- Managing hallucination risk, user trust, and privacy concerns with AI in the loop.
- Adjusting team structures and workflows to enable new AI integrations.