AI Surface Intelligence is Wingback's continuous discovery capability for enterprise AI. It maps every agent, model, MCP server, tool, prompt, and data source running across your cloud accounts, source repositories, and engineering workstations, profiles each asset's configuration, exposure, change history, and ownership, scores it for risk on a calibrated scale, and routes findings to the team that owns the fix.
Other tools see the AI you registered. Wingback maps the AI that's actually running, across model providers, MCP servers, inference paths, and workstations. The surface, mapped continuously, the moment it changes.
Scanning every account for AI services already in use.
Reading every repo for AI calls, agents, prompts, and tool configs.
Watching engineering workstations for AI tool sessions.
Wingback ships with native discovery for every major AI platform, framework, and tool, so you don't write connectors for the things you already pay for.
In every first scan, Wingback surfaces AI assets the CISO can't account for. Here's what shows up most often, and how we found it.
Three times a day for the past two weeks. Account ties to a private email; prompts sit in the training-eligible tier.
Spun up during a hackathon in March, never decommissioned. Read access to production buckets including customer PII.
Internal MCP that previously had read-only access. PR approved without flagging the permission expansion.
An engineer's Cursor instance has been reading customer records for the past week. Prompts cached in the provider's training-eligible tier.
Deployed to an instance during a POC. Anyone in the VPC can hit the endpoint. No rate limit; no audit log.
A team plugged in a vendor MCP that proxies through an unknown infrastructure provider. Not on the approved-vendor list.
Discovery isn't just a taxonomy; it's a profile. Every AI asset Wingback finds carries configuration, exposure, change-history, and ownership signals that drive the score and the remediation.
Discovery isn't a list; it's a graph. Wingback maps every dependency, so you can answer the questions you actually get asked: which agents touch PHI, which workflows depend on a deprecated model, which integration would break if a vendor goes down.
Every asset arrives in the inventory with a calibrated 0-100 score. The score combines four factors so engineers can sort by score and fix the worst first, no triage meeting required.
Discovery is a standing process, not a scan you schedule. Five steps, and only the first one asks anything of you.
Point Wingback at your cloud accounts, source repositories, and engineering endpoints. The collectors run continuously from then on.
New assets land in the inventory as the collectors find them, already scored, owned, and watched.
Each asset is profiled for configuration, exposure, change history, and ownership, then mapped to the standards that govern it.
Findings go to the team that owns the fix with a response SLA attached, rather than into a single security queue nobody reads.
Your forward-deployed engineer tunes the collectors to your stack: proprietary frameworks, in-house MCP servers, the cloud account no one remembers.
As collectors find new assets, they appear in the list and pick up a risk score in seconds.
Connect your cloud and code; you'll have a scored inventory in under an hour.
Request a discovery scanFrequently asked
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