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Forcepoint AI Mesh (DLP for AI)
Enable AI safely — Forcepoint DLP for AI stops sensitive data leaking into ChatGPT and Copilot, discovers shadow AI, and secures AI prompts and agents — productivity kept, data leakage prevented.
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How it’s rated
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The Forcepoint DLP for AI platform family
This page covers Forcepoint AI Mesh / DLP for AI. The rest of the data-security suite:
Quick facts
30-second orientation- Product
- Forcepoint AI Mesh / DLP for AI
- Vendor
- Forcepoint
- Category
- AI data security (DLP for GenAI)
- Stops
- Sensitive data leaking into GenAI
- Covers
- ChatGPT, M365 Copilot, shadow AI, agents
- Does
- Discover, monitor, protect AI use
- Extends
- Forcepoint DLP to the AI channel
- Enables
- Safe AI adoption
- The frontier
- AI data leakage — the urgent new risk
- 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?
Forcepoint’s data security for the AI era — stopping sensitive data leaking into GenAI (ChatGPT, Copilot), discovering shadow AI, and securing AI prompts and agents.
Unmanaged AI vs DLP for AI — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unmanaged GenAI use (leaking) | Forcepoint DLP for AI |
|---|---|---|
| AI channel | Uncovered by classic DLP | Prompt DLP |
| Data in GenAI | Leaking | Protected |
| Shadow AI | Invisible | Discovered |
| AI usage | Unmonitored | Monitored |
| Response to AI | Ban (drives it underground) | Enable safely |
| Agentic AI | Unsecured | Secured |
| Classification | AI silo | Shared with DLP/DSPM |
| Compliance | Regulated data into AI | Prevented |
Data security for the AI era — best integrated with DLP; a fast-emerging category (Microsoft, Zscaler entering).
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Shadow-AI Discovery
Discovers which AI tools your people actually use — including unsanctioned shadow AI you can’t currently see.
AI Usage Monitoring
Monitors AI interactions — what data is going into which AI tools, and the risk.
Prompt DLP
Applies DLP to AI prompts — stopping sensitive data being pasted into a chatbot or Copilot.
Agentic Security
Extends to autonomous AI agents that handle data — securing the next wave of AI.
AI Mesh
Forcepoint’s AI-native security fabric — data security woven into how AI is used.
One map of where sensitive data lives and who touches it — risk governed at the source, not at the perimeter.
Twelve capabilities. Discover, monitor, protect.
Forcepoint DLP for AI discovers shadow AI, monitors AI usage, and applies prompt DLP — stopping sensitive data leaking into GenAI, with one shared classification.
Shadow-AI Discovery
Find the AI tools in use — including unsanctioned shadow AI.
AI Usage Monitoring
See what data goes into which AI tools, and the risk.
Prompt DLP
Stop sensitive data being pasted into GenAI prompts.
Copilot / ChatGPT Security
Secure data in Microsoft 365 Copilot, ChatGPT and more.
Agentic AI Security
Secure autonomous AI agents that handle data.
Safe AI Enablement
Let people use AI — safely, not banned.
Shared Classification
Same classification as DLP/DSPM — one policy, AI included.
Shadow-AI Control
Govern the unsanctioned AI tools you discover.
Real-Time
Protect AI interactions inline, as they happen.
Compliance
Prevent regulated data leaking into AI — DPDP/GDPR.
AI Mesh Fabric
AI-native security woven across the platform.
AI-Powered
AI helps secure AI — detecting risky prompts and use.
Watch Forcepoint DLP for AI in action
Shadow-AI discovery, prompt DLP and safe AI enablement.
Forcepoint DLP Demo: Data Loss Prevention Across Every Channel
The flagship DLP demo — policies enforced across endpoint, web and cloud.
Forcepoint ONE 4-Minute Demo
The SSE platform in four minutes — web, cloud and private-app security.
Forcepoint DLP — Microsoft 365 Demo
DLP working inside Microsoft 365 — the integration most estates need.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Your people use AI. Is your data leaking?
Here’s what genuinely sets Forcepoint DLP for AI apart from the alternatives.
Employees are leaking data into AI right now
This isn’t hypothetical: employees paste confidential data, source code, customer records and IP into ChatGPT, Microsoft 365 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, and it’s happening whether you’ve addressed it or not. Forcepoint DLP for AI is how you stop it — the urgent, immediate reason this category exists.
Classic DLP may not see the AI channel
The AI channel is new, and classic DLP often doesn’t recognise or cover it — a paste into a chatbot may not match the leak patterns DLP was built for. Forcepoint DLP for AI extends data protection specifically to AI interactions: monitoring AI usage and applying DLP to prompts, so sensitive data pasted into GenAI is caught. Covering the AI channel closes a gap that even organisations with mature DLP often have wide open.
You can’t secure the AI you can’t see
Shadow AI — the unsanctioned AI tools employees adopt without IT’s knowledge — is rampant, and you can’t protect data in AI tools you don’t know are being used. Forcepoint discovers the AI tools actually in use, so you have visibility to govern them. As with shadow IT before it, discovery is the essential first step — and most organisations are deploying and using AI far faster than they’re tracking it.
Secure agentic AI — the next wave
AI is moving from chatbots to autonomous agents that take actions and handle data — raising the stakes. Forcepoint’s AI security extends to agentic AI, securing the autonomous agents that increasingly process sensitive data. As agentic AI takes off, securing the data these agents touch becomes a critical new requirement, and Forcepoint is building for it ahead of the curve — not just guarding chatbot prompts, but the agent era.
Enable AI adoption safely — don’t ban it
The wrong response to AI data risk is to ban AI — which 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. Forcepoint DLP for AI does exactly that — so you get the productivity of GenAI without the data risk. Safe enablement, not prohibition, is what forward-looking organisations need, and it’s what this delivers.
The honest positioning
Forcepoint AI Mesh / DLP for AI is data security for the AI era — best when you want AI data protection integrated with your DLP (one classification, AI included). It’s a fast-emerging category (Microsoft Purview, Zscaler, Netskope and others are moving here). For AI data security that extends a leading DLP, Forcepoint is compelling; TechBag scopes your AI attack surface and quotes in INR/GST.
The numbers behind the platform
What your Forcepoint DLP for AI 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
Discover the AI in use; test prompt DLP stopping a real sensitive-data paste into ChatGPT/Copilot.
Rollout
Govern shadow AI; apply prompt DLP; monitor AI usage; extend to agents; integrate classification.
Safe-AI steady state
AI adopted safely — productivity kept, data leakage prevented. TechBag models it in INR/GST.
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“Forcepoint DLP for AI stopped our people pasting sensitive data into ChatGPT and Copilot — a leak vector our classic DLP didn’t even see. The urgent new risk, addressed.”
“Shadow-AI discovery was sobering — dozens of unsanctioned AI tools in use, handling our data. You can’t secure the AI you can’t see.”
“It let us enable AI safely instead of banning it — people keep the productivity, we prevent the leakage. Safe enablement, not prohibition.”
“Prompt DLP caught sensitive data heading into a chatbot in real time — inline protection on the AI channel. Exactly the control we needed.”
“It uses the same classification as our Forcepoint DLP — AI is just another channel of one policy. Consistent data protection, AI included.”
“Agentic AI security is forward-looking — as we deploy AI agents that handle data, Forcepoint is already securing them. Ahead of the curve.”
“Compliance drove it — regulated data leaking into AI is a DPDP and GDPR nightmare. DLP for AI prevents it, and TechBag mapped it to our obligations.”
“The category is new and moving fast — Microsoft and Zscaler are entering too. For integration with our DLP, Forcepoint 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.
DLP for AI in a data platform — this page.
AI-Channel Coverage × DLP Integration
The grid nobody publishes — how well it covers the AI channel vs integration with your DLP.
AI + DLP integration — 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.
Forcepoint DLP for AI vs the field
The emerging AI-data-security options and the unmanaged baseline — honest lanes; the edge is AI protection integrated with DLP.
| Dimension | Forcepoint DLP for AI | Microsoft Purview (AI) | Zscaler / Netskope (AI) | AI-security startups | No AI data security |
|---|---|---|---|---|---|
| Approach | DLP for AI in a data platform | M365/Copilot AI security | SSE-led AI security | Point AI-security | None |
| Shadow-AI discovery | Yes | M365 | Strong | Varies | None |
| Prompt DLP | Yes | Copilot | Strong | Varies | None |
| Platform integration | Shares DLP/DSPM classification | Purview | SSE | Standalone | None |
| Best fit | Orgs wanting AI data security integrated with DLP | Microsoft-only | SSE/SASE-led | Specific AI-risk needs | 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 Forcepoint DLP for AI if…
- ✓Your people use GenAI (ChatGPT/Copilot) — they do
- ✓You want AI data protection integrated with your DLP
- ✓You need to discover and govern shadow AI
- ✓You want to enable AI safely, not ban it
Choose Microsoft Purview if…
- ✓You're a Microsoft-365/Copilot-only estate
Choose Zscaler/Netskope if…
- ✓An SSE/SASE-led approach fits
Choose AI-security startups if…
- ✓You have a specific AI-risk need
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 DLP for AI — 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.
Three ways to consume it
Forcepoint DLP for AI prices as part of the platform. TechBag scopes your AI attack surface and quotes in INR/GST.
DLP for AI
Best for stopping AI leaks
- Prompt DLP (ChatGPT/Copilot)
- Shadow-AI discovery
- AI usage monitoring
+ Agentic AI
Best for the AI frontier
- Secure autonomous AI agents
- One classification
- Real-time protection
+ The platform
Best integrated
- Shared with DLP/DSPM
- Data protected everywhere
- 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 requirements 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 discovery of the AI tools actually in use — including shadow AI.
Test stopping sensitive data being pasted into ChatGPT/Copilot.
Confirm visibility into what data goes into which AI tools.
Consider securing autonomous AI agents that handle data.
Confirm shared classification with DLP/DSPM — one policy.
Confirm it enables AI use (not blanket ban) safely.
Map to preventing regulated data leaking into AI (DPDP/GDPR).
Model as part of the platform — TechBag quotes in INR/GST.
Questions buyers ask
Ready to evaluate Forcepoint DLP for AI?
Scope an AI PoC (prompt DLP stopping a real GenAI paste), 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.