AI DLP
Your employees use AI every day. Do you know what they're sending?
Patient records. Client names. Social Security numbers. API keys. Every prompt is a potential data breach, whether it came from a browser tab, a desktop app, or a terminal. veild.ai catches sensitive data on the device before it reaches any AI service, and puts the real values back in the answer. Your employees keep using AI. Your data never leaves.
AI is your biggest blind spot.
75% of knowledge workers use AI at work. Every prompt is a potential data leak. Blocking AI isn't an option; your people need it to stay competitive. The answer isn't to stop AI, it's to make AI safe to use.
Security teams have two AI problems. Most tools solve one.
You cannot inventory every route AI takes out of your organization. And every control strong enough to matter tends to break the work it protects, so people quietly route around it. veild.ai is built for both, and the second one is the part nobody else solves.
Every plane AI travels on
Controls built per tool — a browser extension, a plugin, an approved app list — stop at whatever nobody thought to integrate. veild.ai works one layer down, on the device itself, so coverage doesn’t depend on which interface someone opened this morning. There is no supported-app list to maintain, and what your developers adopt next quarter is already covered.
Context survives the protection
An AI model can only reason about what it can see. Take the data away and you haven’t just protected it — you’ve changed what the model is able to do. Here is the same prompt under all three approaches, and what each one actually sends.
Block the request
No answer. The employee opens the same tool on a personal laptop and finishes the task there. You protected one prompt and lost the visibility on everything after it.
Redact the values
MRN [REDACTED], card [REDACTED].
A template with holes in it. The model cannot address, reference, or calculate against a value it cannot see, so your employee finishes the job by hand — often by pasting the real record somewhere you don’t control.
veild.ai substitutes the values
MRN-5528013, card 4916-3355-7201-8846.
A finished draft. The substitutes are structurally valid — a real checksum, a real record format — so the model behaves as if it held the genuine record. Your real values are restored on screen; the provider never saw them.
Why this is a security argument, not a convenience one. A control your people work around is worse than no control: you lose the data and the visibility, and you find out from an incident rather than a dashboard. Preserving context is what keeps the protection in the path — adoption is the enforcement mechanism.
Other tools cover the browser. Others can block or redact. Every plane your team uses, with masking that reverses so the work still gets done, is the combination we have not found anywhere else.
Detect. Mask. Audit. Without breaking AI.
veild.ai sits between your employees and AI services. Sensitive data is caught and replaced in flight with realistic fakes, so the AI still does its job, your data never leaves the building, and every event is logged.
Detect
Every prompt is scanned for PII, PHI, PCI, and credentials before it leaves the endpoint. Hundreds of recognizers, configurable categories, custom patterns per org.
Mask
Format-preserving fakes replace real values inline, so the AI sees structurally valid data and stays useful. Your originals never reach OpenAI, Anthropic, or Google.
Unmask
On the way back, fakes are swapped out for the originals so the user sees their real data restored. The round-trip is invisible: no copy/paste, no broken workflows.
Audit
Every AI-bound event is logged with what was masked, by whom, to which service, without storing the original sensitive data. Built for SOC 2, HIPAA, and GDPR evidence.
Enterprise platform. Industry-specific intelligence.
The core platform protects every organization. Industry editions add domain-specific compliance and smart policy configuration.
Enterprise
Shadow AI discovery, employee risk scoring, and an AI Data Coverage Report providing SOC 2, PCI-DSS, GDPR, and CCPA evidence. SSO, SIEM export, staged agent rollouts.
Healthcare
PHI detection across four sensitivity tiers. Clinical reference preservation lets clinical vocabulary through while patient identifiers are masked. Coverage reporting with HIPAA evidence.
Legal
Attorney-client privilege protection. Smart handling of published case law vs active client matters. ABA Opinion 512 compliance reports.
Financial services
Routing numbers, security and counterparty identifiers, and employer tax IDs, each checksum-validated so ordinary reference numbers are not mistaken for accounts. Coverage reporting with GLBA and SEC 17a-4 evidence.
of knowledge workers use AI at work (Microsoft, 2024)
max HIPAA penalty per violation category, per year
average cost of an attorney-client privilege waiver claim
Your employees are already using AI.
Start protecting the data today.
Talk to our team about how veild.ai can protect your organization.