Stop Sensitive Data Leakage to
ChatGPT / Gemini / Claude / DeepSeek
AI is no longer optional—it's embedded in daily workflows. The real risk is a single prompt or a single upload carrying source code, customer data, contracts, trade secrets into external AI platforms.
VATOS DLP inspects AI web traffic in real time and content-aware manner; when sensitive content is detected, it blocks immediately and records the event with full detail.
The Real Risk: "One Prompt"
- Code fragments, stack traces, and configurations get pasted into prompts.
- Customer data, clauses, and financial tables are submitted for "summarization".
- Even good intentions can cross the perimeter in seconds.
With AI platforms, data is often irreversible once shared. The moment it leaves your boundary, the risk becomes real: retention, third-party infrastructure, unintended exposure, and loss of control.
The Real Risk: "One Upload"
- A single PDF/Excel/Word upload can transfer an entire dataset.
- ZIP/RAR archives can leak multiple critical files in one step.
- Shadow AI usage expands risk outside approved tooling.
Traditional DLP channels (USB/email) still matter, but AI is faster and already normalized. That's why control must be centralized and enforceable.
Critical Risks When Using AI Chatbots
AI usage is fast and feels harmless—so leakage often goes unnoticed. If you don't close the risks below, you don't have AI security.
Sensitive content is pasted into prompts or uploaded as files; it leaves the perimeter and becomes a new monitoring surface.
Tokens, credentials, and connection strings accidentally included in prompts can enable unauthorized access and data theft.
Personal data, customer/vendor records, and contracts sent to AI can violate privacy and internal governance requirements.
Classic approaches may lack content visibility in cloud AI interactions. VATOS focuses on content-aware control.
VATOS approach: enforce, log, and prove
When sensitive data is detected in the AI channel, VATOS applies BLOCK and records full event details.
Solution: VATOS AI Web Traffic Control
VATOS DLP captures AI-bound web traffic inline, performs content extraction + deep inspection, and applies policy. It does not rely on a "switchable" control point.
Captures traffic regardless of the browser/UI used. Reduces blind spots.
Decisions are based on the prompt and file content—not only domains/URLs.
Instantly blocks on detection and can inform the user per policy.
Audit-ready fields: user, destination, detector, action, timestamp, policy ID.
Clear stance: strict control, no gray zone.
For AI channels, the principle is simple: if it's sensitive, it doesn't go. VATOS enforces this at the traffic control point with real-time blocking and audit-grade logging.
Every prompt, upload, and API call is analyzed before it reaches the external AI service.
Regex, fingerprinting, and OCR identify sensitive patterns across structured and unstructured data.
Block is immediate when sensitive content is detected. User gets feedback, admins get detailed logs.
Inline proxy prevents users from bypassing controls through alternative browsers, VPNs, or shadow applications.
Core Capabilities for AI DLP
"AI security" is not a label. What matters is a reliable control point, content inspection, and enforceable actions.
Instant Risk Alerts
Detect sensitive data (personal data, financial, contracts, code, secrets/tokens) and raise immediate alerts with a full record.
Prompt Visibility
Understand how AI is being used: prompt patterns, data categories, destinations, and high-risk users or teams.
Sensitive Data Protection
Build policies based on your data dictionary and classification strategy—scale coverage as your organization evolves.
Recommended for AI: BLOCK + LOG
For other channels: monitoring and approval workflows can be enabled per policy.
Quickly deploy privacy-focused templates and classification-driven enforcement.
Each event is captured in an audit-friendly format for investigations and reporting.
Analyze usage patterns (teams, destinations, data categories) to strengthen governance.
Note: This page focuses on AI web traffic control. Depending on your deployment, endpoint and network controls can be combined for broader coverage.
Compliance & Audit Readiness
AI data exposure is not only a security risk—it's a compliance risk. VATOS provides visibility and enforceable controls across AI traffic so audits have clear evidence.
What auditors ask: "Who sent what, where, and when?"
VATOS logs AI events with user • device • destination • detector • action • timestamp • policy ID, eliminating ambiguity in post-incident review and compliance reporting.
Next Step
See VATOS DLP in Action
Book a demonstration with our team to map VATOS to your own workflows.