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Trellix AI Data Security
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.
How it’s rated
Full scoreboard ↓Quick answer
Trellix AI Data Security — built around the AI Data Risk Dashboard — monitors and prevents sensitive-data loss to AI tools, giving real-time visibility into sanctioned and unsanctioned (shadow) AI usage, identifying high-risk activity across endpoints and networks, and enabling centralized incident response. The risk is immediate: employees paste confidential data, source code, customer records and IP into ChatGPT, Microsoft 365 Copilot and other GenAI tools — often via unsanctioned shadow AI — where it can be exposed, retained or used to train models, and classic DLP may not even see the AI channel. Trellix’s AI Data Risk Dashboard closes the gap: real-time visibility into which AI tools are being used and what data is going into them (sanctioned AND shadow), identification of the high-risk AI activity across your endpoints and networks, and centralized response — all leveraging Trellix’s existing DLP coverage. It lets organisations enable AI adoption safely, keeping GenAI’s productivity while preventing the data leakage that would make it a serious security and compliance risk.
The Trellix AI Data Security platform family
This page covers Trellix AI Data Security. The rest of the data-security suite:
Quick facts
30-second orientation- Product
- Trellix AI Data Security (AI Data Risk Dashboard)
- Vendor
- Trellix
- Category
- AI data security (data loss to AI)
- Stops
- Sensitive data loss to AI tools
- Covers
- Sanctioned AND shadow AI
- Gives
- Real-time AI-usage visibility
- Spans
- Endpoints and networks
- Response
- Centralized incident response
- Leverages
- Trellix DLP coverage
- In India via
- TechBag — quotes, PoCs, GST, support
Understand AI data security before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is it?
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.
Unmanaged AI vs Trellix AI data security — the honest table
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.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
AI Data Risk Dashboard
Real-time visibility into AI usage and the data going into AI tools — sanctioned and shadow.
Shadow-AI Detection
Identifies unsanctioned (shadow) AI tools in use — the AI you didn’t know about.
Risk Identification
Identifies high-risk AI activity across endpoints and networks — what to act on.
Prevention
Prevents sensitive-data loss to AI — leveraging Trellix DLP coverage.
Centralized Response
Centralized incident response to AI-data-risk events — one place to act.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. See, assess, prevent.
The AI Data Risk Dashboard surfaces sanctioned and shadow AI, identifies high-risk activity, and prevents sensitive-data loss to AI — leveraging Trellix DLP.
AI Data Risk Dashboard
Real-time visibility into AI usage and data going into AI.
Shadow-AI Detection
Find unsanctioned AI tools in use.
Sanctioned-AI Monitoring
Monitor approved AI (ChatGPT, Copilot) usage too.
Risk Identification
Identify high-risk AI activity to act on.
Endpoint Coverage
See AI-data risk at the endpoint.
Network Coverage
See AI-data risk across the network.
Data-Loss Prevention
Stop sensitive data going into AI tools.
Centralized Response
Respond to AI-data-risk incidents in one place.
Leverages DLP
Built on Trellix’s existing DLP coverage.
Safe AI Enablement
Enable AI use safely — not banned.
Compliance
Prevent regulated data leaking into AI (DPDP/GDPR).
Real-Time
Visibility and response as it happens.
Watch Trellix AI Data Security in action
The AI Data Risk Dashboard, shadow-AI detection and prevention.
Trellix Endpoint Security Demo
Trellix ENS in action, demonstrated by Trellix.
Gen AI-Powered XDR
Trellix Wise and the AI-powered XDR platform.
Trellix Email and Collaboration Security Demo
Email security demonstrated end-to-end.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Your people use AI. Is your data leaking?
Here’s what genuinely sets Trellix AI Data Security apart from the alternatives.
Employees are leaking data into AI right now
Employees paste confidential data, source code, customer records and IP into ChatGPT, Copilot and other GenAI tools every day — often via unsanctioned shadow AI — where it can be exposed, retained or used to train models. It’s one of the fastest-growing data-leak vectors, happening whether you’ve addressed it or not. Trellix’s AI Data Risk Dashboard is how you see and stop it — the urgent reason this exists.
See sanctioned AND shadow AI
You can’t manage AI-data risk you can’t see, and the riskiest AI use is the shadow AI employees adopt without IT’s knowledge. The AI Data Risk Dashboard gives real-time visibility into both sanctioned AI (approved tools like Copilot) and unsanctioned shadow AI — which tools are in use and what data is going into them. Full visibility, across sanctioned and shadow, is the essential foundation for governing AI-data risk.
Risk-identified across endpoints and networks
The dashboard doesn’t just show usage — it identifies the high-risk AI activity across your endpoints and networks, so you know what actually warrants action rather than drowning in raw AI-usage data. Risk-prioritised visibility (what’s dangerous, where) turns AI monitoring into actionable security, spanning both the endpoint (where pastes happen) and the network (where AI traffic flows).
Built on proven DLP coverage
Trellix’s AI data security leverages its existing, proven DLP coverage — so the AI Data Risk Dashboard builds on the same data-classification and control the rest of the Trellix suite provides. For Trellix DLP customers, AI data security is an extension of a platform they already run, not a separate product — and it applies the same understanding of ‘sensitive data’ to the AI channel. Leveraging existing DLP is an efficient, consistent way to secure the AI channel.
Enable AI safely — don’t ban it
Banning AI just drives it underground (more shadow AI) and forfeits the productivity. The right response is to enable AI safely: let people use these powerful tools while preventing the data leakage. Trellix’s AI data security does exactly that — visibility, risk identification and prevention so you get GenAI’s productivity without the data risk. Safe enablement, not prohibition, is what forward-looking organisations need.
The honest positioning
Trellix AI Data Security (the AI Data Risk Dashboard) is data security for the AI era, leveraging Trellix DLP — best for Trellix DLP customers extending protection to the AI channel. It’s a fast-emerging category (Forcepoint DLP for AI — hub live, Microsoft, Zscaler all moving here). For Trellix estates wanting AI-data visibility and prevention, it’s a natural fit; TechBag scopes your AI attack surface and quotes in INR/GST.
The numbers behind the platform
What your Trellix AI Data Security journey looks like
AI-risk scoping
The GenAI your people use (sanctioned + shadow) and your AI-data-leak concerns. TechBag scopes it free.
AI PoC
See the AI Data Risk Dashboard surface AI usage and high-risk activity; test prevention on a real sensitive-data-to-AI event.
Rollout
Deploy across endpoints and networks; identify shadow AI; prevent data loss; enable centralized response.
Safe-AI steady state
AI adopted safely — productivity kept, data leakage prevented, leveraging DLP. TechBag models it in INR/GST.
Trusted by 78% of the Fortune Global 500 & the US DoD
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Trellix’s AI Data Risk Dashboard showed us sensitive data heading into ChatGPT and Copilot — a leak vector our classic DLP didn’t surface. The urgent new risk, made visible.”
“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 leverages our existing Trellix DLP — AI data security was an extension of the platform we run, not a separate product. Same classification, AI channel.”
“It let us enable AI safely instead of banning it — people keep the productivity, we prevent the leakage. Safe enablement, not prohibition.”
“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.”
“The category is new and moving fast — Forcepoint and Microsoft are here too. For our Trellix estate, the AI Data Risk Dashboard fit. Scope the emerging space.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the AI data security market — tap any vendor to see why it sits where it does.
TechBag AI-Data-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
AI Data Risk Dashboard on DLP — this page.
AI Visibility × DLP Leverage
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.
Trellix AI Data Security vs the field
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 |
Which AI-data-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Trellix AI Data Security if…
- ✓You run Trellix DLP and want to extend it to AI
- ✓You need visibility into sanctioned AND shadow AI
- ✓You want risk-identified AI activity (endpoint + network)
- ✓You want to enable AI safely, not ban it
Choose Forcepoint DLP for AI if…
- ✓You're a Forcepoint DLP estate — hub live
Choose Microsoft Purview if…
- ✓You're a Microsoft-365/Copilot-only estate
Choose Zscaler/Netskope if…
- ✓An SSE/SASE-led approach fits
No AI data security if…
- ✓Never if AI is in use — data is leaking into GenAI now
What does AI data leakage cost you?
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 actual device counts and modules.
Three ways to consume it
Trellix AI Data Security prices as part of the platform. TechBag scopes your AI attack surface and quotes in INR/GST.
AI Data Risk Dashboard
Best for AI visibility
- Sanctioned + shadow AI usage
- Real-time visibility
- Endpoint + network
+ Risk & Response
Best for control
- High-risk activity identified
- Prevent data loss to AI
- Centralized response
+ Trellix DLP
Best integrated
- Leverages existing DLP
- One classification
- TechBag scopes the AI surface
Buy it for less — TechBag pricing beats list
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.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every AI-data-security vendor
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.
Questions buyers ask
Ready to evaluate Trellix AI Data Security?
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.