CYGNVS AI Assistant
Overview
In a crisis, nobody has time to hunt through menus or wait on a support ticket. New users, returning users, and external responders all hit the same wall — they know what they need to do, but not where to do it.
The Opportunity
The Problem: High-Stress Crises & Chatbot Fatigue
During a major security breach, response teams operate under immense cognitive load. Standard corporate communications (email, Slack) are often compromised, and generic LLMs give vague, unverified advice.
Fragmented Context:
Responders waste critical minutes hunting across playbooks, task lists, and message threads to understand current status.
Flawed Interaction Models:
Open-ended chat windows force users to guess the right prompt when time is most critical.
Low Trust in AI:
Enterprise leaders distrust "black box" AI during high-stakes legal and security events.
The Strategic Goal
Design an out-of-band, context-aware AI interface that proactively surfaces situational reports recommends immediate next steps by role, and automates post-exercise reporting—without getting in the way of critical human decision-making.
Design the experience
The Assistant surfaces suggested prompts tuned to your role and where you are in your journey — an account owner setting up permissions sees different suggestions than a responder in a live incident. Responses draw from CYGNVS documentation and the platform knowledge base, so guidance on configuration, permissions, and workflows is accurate and self-serve.
Outcome
The Assistant is native to web, mobile, and iPad. On the move, responders get the same guidance, the same prompts, and deep links that open native app screens — critical for incidents managed away from a desk. The Assistant is reachable from within active rooms and incidents, so getting help never means abandoning the work.
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