Zenity for Airlines
Your AI agent is acting on behalf of your business. Who's watching what it does?
Know exactly how AI agents are issuing refunds, rebooking flights, and upgrading seats. Zenity secures the agents powering the airline industry's next customer experience, before an exploit becomes a chargeback, or a headline.
This is already happening.
Airlines are running their business with agentic AI. Generative virtual assistants handle rebooking and refunds, internal AI platforms coordinate operations and irregular-operations recovery, and AI-driven customer service agents take live passenger requests today. These agents don't just talk, they act. They write back into the reservation, loyalty, and operations systems that run the airline.
Why this is a different risk.
Your existing stack wasn't built to see agents. It sees events, traffic, and identities, not what an agent is doing, or whether its decision is authorized. Your systems see a refund. They don't see why the agent approved it. Three ways it goes wrong:
External
A passenger or bad actor manipulates the agent into an unauthorized refund or rebooking.
Insider
An over-permissioned integration hands the agent more reservation or loyalty data than it needs.
Autonomous
The agent reasons its way into an action nobody authorized, such as approving a compensation payout outside its intended scope.
How Zenity secures it.
Surface
Every agent across contact-center platforms, homegrown stacks, and loyalty integrations, continuously inventoried.
Enforce
Deterministic boundaries on refunds, rebooking, compensation, and upgrades, evaluated in real time.
Protect
Full reconstruction of any flagged passenger interaction in minutes, not days.
Built for how airlines actually build agents.
Vendor platforms
Homegrown builds
One model
Gartner "Company to Beat" in AI Agent Governance
Runs production agents that handle rebooking, refunds, and compensation at scale.
Runs production agents that handle rebooking, refunds, and compensation at scale.
Runs production agents that handle rebooking, refunds, and compensation at scale.
Runs production agents that handle rebooking, refunds, and compensation at scale.
Runs production agents that handle rebooking, refunds, and compensation at scale.
Runs production agents that handle rebooking, refunds, and compensation at scale.
Resources
Every AI Agent Needs Its Own Identity, Not a Borrowed One
AI agent identity is where good intentions most often meet shortcuts. A developer needs an agent to reach a database,...
What Market Conduct Examiners Are Starting to Ask About Claims and Underwriting AI Agents
Agentic AI for life insurance has moved out of the innovation lab and into the decisions regulators already watch...
Least Privilege Isn't Enough for Hospitality AI Agents. You Need Least Agency.
Least privilege has been a core security principle, and it applies to every hospitality AI agent just as it applies...
Why Soft Guardrails Get Hotels Hacked: The Case for Hard Boundaries on Agentic Bookings
Agentic AI for hospitality has moved well past the concierge chat window. AI booking and concierge agents now confirm...
See what your agents can actually do, before a passenger finds out first.
Surface every agent, set deterministic boundaries on what it can do, and reconstruct any flagged passenger interaction in minutes.