Keep company data out of the wrong AI tools.
AI Data Loss Prevention
Profile every AI tool for leakage risk, catch Data Exfiltration and Credential Exposure in live sessions, and block risky tools on the endpoint and at the firewall.
Every prompt is a way out of the company.
AI tools absorb sensitive data
Productivity AI can keep and transmit company data under unclear retention and model-training policies.
Vendor terms change quietly
A tool approved last year may update its terms. Tracking every AI vendor by hand doesn’t scale.
Legacy DLP can’t read AI context
Keyword-based DLP can’t tell whether a specific AI vendor receiving specific data is a risk under your obligations.
How SuperAlign AI data loss prevention works
An approved tool can still be a data-loss path. AIRiskDB scores each AI tool on retention, training on your inputs, residency and third-party sharing, and turns each factor into a finding.
Key outcomes
Leakage risk known in advance
Know which tools carry risk and why, before an incident.
TrackUsers on high-risk AI tools
Enforcement at every layer
Endpoint and network controls apply to high-risk tools the moment you decide.
TrackHigh-risk tools blocked at endpoint and firewall
A defensible data posture
Alerts when vendors change their data practices, and audit-ready evidence for regulators, legal and compliance.
TrackVendor profile changes reviewed
Give us two weeks.
We’ll show you what’s running.
Deploy on your MDM across 25–100 users. Keep the inventory, scored risk view, and a full session record—whether you buy or not.