Enable AI safely — Trellix AI Data Security gives real-time visibility into sanctioned and shadow AI, identifies high-risk activity, and prevents sensitive-data loss to GenAI, leveraging your Trellix DLP.
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This page covers Trellix AI Data Security. The rest of the data-security suite:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Trellix’s AI Data Risk Dashboard — real-time visibility into sanctioned and shadow AI usage, identifying high-risk activity across endpoints and networks, and preventing sensitive-data loss to AI, leveraging Trellix DLP.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unmanaged GenAI use (leaking) | Trellix AI Data Security |
|---|---|---|
| AI channel | Uncovered by classic DLP | Seen & prevented |
| Data in GenAI | Leaking | Protected |
| Shadow AI | Invisible | Detected |
| Sanctioned AI | Unmonitored | Monitored |
| Risk | Raw usage data | Risk-identified |
| Coverage | Endpoint or network | Both |
| Response to AI | Ban | Enable safely |
| Foundation | Separate tool | Leverages Trellix DLP |
Data security for the AI era, leveraging Trellix DLP — Forcepoint DLP for AI (hub live) is the alternative.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Real-time visibility into AI usage and the data going into AI tools — sanctioned and shadow.
Identifies unsanctioned (shadow) AI tools in use — the AI you didn’t know about.
Identifies high-risk AI activity across endpoints and networks — what to act on.
Prevents sensitive-data loss to AI — leveraging Trellix DLP coverage.
Centralized incident response to AI-data-risk events — one place to act.
See which sensitive data exists, where it sits and who handles it — control the risk at its origin, not the network edge.
The AI Data Risk Dashboard surfaces sanctioned and shadow AI, identifies high-risk activity, and prevents sensitive-data loss to AI — leveraging Trellix DLP.
Real-time visibility into AI usage and data going into AI.
Find unsanctioned AI tools in use.
Monitor approved AI (ChatGPT, Copilot) usage too.
Identify high-risk AI activity to act on.
See AI-data risk at the endpoint.
See AI-data risk across the network.
Stop sensitive data going into AI tools.
Respond to AI-data-risk incidents in one place.
Built on Trellix’s existing DLP coverage.
Enable AI use safely — not banned.
Prevent regulated data leaking into AI (DPDP/GDPR).
Visibility and response as it happens.
The AI Data Risk Dashboard, shadow-AI detection and prevention.
Trellix ENS in action, demonstrated by Trellix.
Trellix Wise and the AI-powered XDR platform.
Email security demonstrated end-to-end.
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Book a guided demo →Here’s what genuinely sets Trellix AI Data Security apart from the alternatives.
Staff drop confidential data, customer records, source code and IP into Copilot, ChatGPT and similar GenAI tools every day, often via shadow AI, where it may be exposed, retained or used for model training. Trellix’s AI Data Risk Dashboard is how you see and stop one of the fastest-growing leak vectors.
You can’t manage AI-data risk you can’t see. The AI Data Risk Dashboard gives real-time visibility into sanctioned AI, such as Copilot, and unsanctioned shadow AI — which tools are in use and what data goes into them — the foundation for governing AI-data risk.
The dashboard identifies high-risk AI activity across endpoints and networks, so you know what warrants action instead of drowning in raw usage data. It spans the endpoint, where pastes happen, and the network, where AI traffic flows.
The AI Data Risk Dashboard builds on Trellix’s proven DLP, using the same data classification and control as the rest of the suite. For Trellix DLP customers it extends a platform they already run, applying the same definition of ‘sensitive data’ to the AI channel.
A ban pushes AI use out of sight into more shadow AI and throws the productivity away. Trellix’s AI data security enables AI safely instead, with visibility, risk identification and prevention, so you get GenAI’s productivity without the data risk.
Trellix AI Data Security, the AI Data Risk Dashboard, extends Trellix DLP to the AI channel and fits Trellix DLP customers best. Forcepoint DLP for AI, Microsoft and Zscaler are moving into this fast-emerging category. TechBag scopes your AI attack surface and quotes in INR/GST.
The GenAI your people use (sanctioned + shadow) and your AI-data-leak concerns. TechBag scopes it free.
See the AI Data Risk Dashboard surface AI usage and high-risk activity; test prevention on a real sensitive-data-to-AI event.
Deploy across endpoints and networks; identify shadow AI; prevent data loss; enable centralized response.
AI adopted safely — productivity kept, data leakage prevented, leveraging DLP. TechBag models it in INR/GST.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“The AI Data Risk Dashboard showed sensitive data heading into ChatGPT and Copilot — a leak our classic DLP missed.”
“Shadow-AI detection was sobering — unsanctioned AI tools in use, handling our data. Full visibility across sanctioned and shadow is the foundation.”
“It identifies the high-risk AI activity across endpoints and networks — not raw usage data, but what to act on. Risk-prioritised, actionable.”
“It extends our existing Trellix DLP, with the same classification applied to the AI channel.”
“The AI data risk view showed which GenAI tools our staff actually used. We sanctioned two and blocked the rest, instead of banning AI outright.”
“Centralized incident response meant one place to act on AI-data-risk events — not scattered across tools. Fast, coordinated response.”
“Compliance drove it — regulated data leaking into AI is a DPDP/GDPR nightmare. The dashboard prevents it, and TechBag mapped it to obligations.”
“It’s a new, fast-moving category with Forcepoint and Microsoft too. For our Trellix estate, it fit.”
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the AI data security market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
AI Data Risk Dashboard on DLP — this page.
The grid nobody publishes — sanctioned+shadow AI visibility vs leveraging existing DLP coverage.
AI visibility + DLP leverage — the corner it fills.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
The emerging AI-data-security options and the unmanaged baseline — honest lanes; the edge is AI visibility leveraging Trellix DLP.
| Dimension | Trellix AI Data Security | Forcepoint DLP for AI | Microsoft Purview (AI) | Zscaler/Netskope (AI) | No AI data security |
|---|---|---|---|---|---|
| Approach | AI Data Risk Dashboard on DLP | DLP for AI | M365/Copilot AI security | SSE-led AI security | None |
| Sanctioned + shadow AI | Both | Both | M365 | Strong | None |
| Endpoint + network | Both | Both | M365 | Network | None |
| Leverages existing DLP | Trellix DLP | Forcepoint DLP | Purview | SSE | None |
| Best fit | Trellix DLP estates extending to the AI channel | Forcepoint DLP estates | Microsoft-only | SSE/SASE-led | Nobody using AI |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (users; IT-hour cost as loaded rate). Estimates assume ~3 hours per user per year of AI-data-leak exposure (sensitive data into GenAI), with ~65% removed by AI data security — the avoided IP-loss and compliance-fine value from a single leaked dataset is the larger unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Trellix AI Data Security prices as part of the platform. TechBag scopes your AI attack surface and quotes in INR/GST.
Best for AI visibility
Best for control
Best integrated
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Test the AI Data Risk Dashboard — real-time visibility into AI usage and data.
Test detection of unsanctioned (shadow) AI tools.
Confirm it identifies high-risk AI activity, not just raw usage.
Confirm endpoint AND network coverage.
Test stopping sensitive data going into AI tools.
Confirm it leverages your existing Trellix DLP coverage.
Test centralized incident response to AI-data-risk events.
Model as part of the platform — TechBag quotes in INR/GST.
Scope an AI PoC (the AI Data Risk Dashboard on your real usage), or let a TechBag advisor scope your AI attack surface — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.