Aurascape Lightboard Series: From Prompts to Conversations in AI Security

Traditional security policies evaluate individual events in isolation. In the age of AI, that approach breaks down.

AI interactions unfold across multi-turn conversations where the combined context of intent, data sensitivity, and risk only becomes clear over time. Security tools which only inspect destinations, not entire interactions, cannot understand this context.

In this Aurascape Lightboard Series episode, Sheldon Zhao, Product Manager at Aurascape, explains why conversation-level understanding is essential for securing AI usage and how conversation-based contextual policy gives security teams full control.

Watch the video to learn:
• How full context, and real risk, emerges across multi-turn AI conversations
• Concrete examples of why applying traditional security to AI interactions generates both false positives and false negatives
• What conversation level context reveals about data exposure and potential threats
• How contextual policies adapt as conversations evolve, not just at a single moment

If your users leverage AI copilots, assistants, and embedded AI tools, this session provides a practical framework for enforcing security policies that understand context, to protect truly risky AI usage without slowing down responsible work.

Subscribe to the Aurascape Lightboard Series for more short sessions on securing AI, agents, and embedded AI across the enterprise.

Learn more at https://aurascape.ai/