The data-security leader — an IDC MarketScape DLP Leader (2025) whose Data Security Everywhere platform protects sensitive data across endpoint, network, web, cloud, email and AI. 12,000+ customers. This hub is your complete intel file.
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The full data-security suite — every card is a complete intel page, across DLP, DSPM, DDR, Risk-Adaptive Protection, CASB, email, classification and DLP for AI.
One policy, every channel, all your data.
Enterprise DLP for data in motion across endpoint, network, web, cloud and email from one policy. 12,000+ customers.
Find and classify data at rest — with AI.
AI-powered discovery and classification of data at rest across cloud, SaaS, databases and data lakes, with risk and protection.
Watch data in use, respond in real time.
Continuous monitoring of data in use with dynamic response, detecting and stopping data breaches as they happen.
Security that adapts to the person.
Behaviour-aware DLP that tightens or relaxes enforcement per user on their real-time risk score: fewer false positives.
See and control your SaaS.
Discovers shadow IT, controls sanctioned and unsanctioned SaaS use, and extends data protection into cloud apps.
Stop data leaving via email.
Inbound threat protection plus outbound email DLP, layered on Microsoft 365 and Google Workspace.
You can't protect what you can't label.
Tags sensitive data manually or automatically, including visual labels, so DLP, DSPM and DDR can enforce on it accurately.
Let your people use AI — safely.
AI Mesh and DLP for AI stop sensitive data leaking into GenAI tools like ChatGPT and Microsoft 365 Copilot, and find shadow AI.
Web security in the cloud or on the device.
SWG in Data Security Cloud: TLS inspection, inline app control, a Mumbai region and edge data centres in five Indian cities.
Forcepoint’s Security Service Edge, formerly Forcepoint ONE (renamed April 2025); its web gateway has its own page, Forcepoint Web Security
Forcepoint's enterprise NGFW and secure SD-WAN — network security and connectivity, and Remote Browser Isolation (RBI).
Forcepoint sells across 5 of the products TechBag carries in data security & privacy. The Data Security & Privacy guide shows how the category splits and which part is yours. →
Also sold in Network Security & SASE (1 product) · Security (1 product).
Classic DLP protected data in motion but missed data at rest and in use — and can't see the AI channel at all. Forcepoint bet on Data Security Everywhere — one classification and policy protecting data wherever it lives, moves and is used, now AI-native. It became a DLP benchmark.
The market-leading enterprise DLP — controlling sensitive data in motion across endpoint, network, web, cloud and email from one policy. The core of the platform.
AI-powered discovery and classification of sensitive data at rest across cloud, SaaS, databases and data lakes — the ‘know what you have’ foundation.
Continuous monitoring of data in use with dynamic response — detecting and stopping breaches as they happen.
Behaviour-aware enforcement that adapts to each user's real-time risk — fewer false positives, tighter control where it matters.
AI-native data security — stopping data leaking into GenAI tools and agents, and securing the AI you build and use.
Start with your biggest data problem — leaks (DLP), discovery (DSPM), insider risk (RAP) or AI — and expand across one integrated platform.
Every claim on this hub traces to one of these public signals.
Data Loss Prevention
Last edition published
Across 21+ industries
AI-native, self-aware
AI-era data security
Every channel
High-assurance roots
Buyer's choice
The flagship DLP demo — policies enforced across endpoint, web and cloud.
The SSE platform in four minutes — web, cloud and private-app security.
DLP working inside Microsoft 365 — the integration most estates need.
Two company-level views you won’t find on any vendor site — tap any dot for the rationale. The category-level grid lives on the product page.
Each dot is a Forcepoint product: competitive position vs category momentum.
The flagship — an IDC MarketScape DLP Leader (2025).
Data-security breadth vs depth of data protection — where Forcepoint leads.
The DLP leader, now AI-native with DSPM, DDR and DLP for AI: one policy protecting data across every channel.
Positions are TechBag’s illustrative synthesis of public review-platform standings and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Zero-jargon starting points, in reading order. Each links into the deep education on the product page.
Answer three questions; we’ll point you at the right starting product. No email required — this isn’t that kind of quiz.
1. What's your most pressing data-security need?
2. Which sentence sounds most like you?
3. What does success look like?
Data Loss Prevention — how it stops sensitive data leaving via endpoint, web, email and cloud.
Read →Why data security must cover data at rest, in motion AND in use — DLP + DSPM + DDR.
Read →Data Security Posture Management — finding and classifying your sensitive data at rest, with AI.
Read →How behaviour-based enforcement cuts false positives and adapts to each user's risk.
Read →Why GenAI tools are a data-leak risk — and how AI Mesh / DLP for AI address it.
Read →The honest matrix vs Microsoft Purview, Symantec, Trellix and Netskope.
Read →The procurement playbook TechBag runs with IT buyers — steps, licensing cheat-sheet, and the pitfalls that cost quarters.
Is it leaks (DLP), finding data (DSPM), insider risk (RAP) or AI (DLP for AI)? Name the main pain first; TechBag scopes it free.
Map where sensitive data lives and moves — endpoint, email, web, cloud, SaaS, AI. DSPM can discover it; the map is your foundation.
Run a PoC on your environment: watch Forcepoint DLP catch real violations, DSPM find real data, or DLP for AI stop a ChatGPT paste.
Forcepoint’s strength is DLP, DSPM, DDR and RAP sharing one classification and policy — judge the platform, not one control.
Map DLP to GDPR / DPDP / PCI / HIPAA obligations, and scope DLP for AI now — GenAI data leakage is the fast-emerging risk. TechBag advises on India (DPDP) specifics.
TechBag licenses, deploys (on-prem/cloud/hybrid), designs policy, runs PoCs and supports it, with GST invoicing and DPDP expertise.
| Product | Licensing model | How you enter | Best for |
|---|---|---|---|
| Forcepoint DLP | Per user / per year | Not published; quote-only | Enterprise data-loss prevention |
| DSPM | By data scope | Data discovery & classification | Knowing your data at rest |
| DDR + RAP | Add-on / bundle | Data-in-use + risk-adaptive | Insider risk & response |
| DLP for AI / AI Mesh | Subscription | GenAI data security | Safe AI adoption |
Forcepoint DLP has no published list price (quote-only); DSPM/DDR/AI by scope. TechBag models the mix and quotes in INR/GST.
DLP can only enforce on data it recognises; without classification you get false positives and missed leaks. Classify, or run DSPM to discover, before enforcing.
Classic DLP watches data in motion, but you can’t protect what you can’t find. Skip DSPM and sensitive data at rest stays undiscovered.
Static, over-tight DLP floods teams with false positives until they switch it off. Risk-Adaptive Protection adjusts enforcement to real behaviour.
Employees are pasting sensitive data into ChatGPT and Copilot right now — a channel classic DLP may not cover. DLP for AI / AI Mesh addresses it; if AI is in use (it is), scope it.
Data security is usually driven by compliance (GDPR, India's DPDP, PCI, HIPAA) — buy without mapping controls to obligations and you'll have gaps at audit. TechBag maps Forcepoint to your regulatory needs.
Each intel page carries an 8-question vendor checklist and a value calculator:
Bring your requirements and current tool bills — a TechBag advisor models the whole decision for you.
Book a discovery call →Six trends with momentum scores (TechBag’s read of analyst and market signals) — and what each means for your next decision.
*Directionally consistent with public analyst forecasts; verify exact figures before quoting. The takeaway: DSPM and DLP-for-AI compound fastest — exactly where Forcepoint's AI-native platform is placed.
Data Security Posture Management, which finds and classifies data at rest, is the fastest-growing data-security category.
What it means for you
Discovery and classification are now the foundation of any data-security programme.
Staff pasting sensitive data into ChatGPT and Copilot is a top new leak vector; DLP for AI and shadow-AI discovery answer it.
What it means for you
AI data leakage is the urgent new frontier; classic DLP alone doesn't cover it.
DLP, DSPM, DDR, CASB and classification are converging into single platforms with one classification and policy.
What it means for you
Buy a platform, not point tools, so controls share context and close gaps.
Behaviour-based, risk-adaptive enforcement (RAP) cuts false positives and catches insider risk that static rules miss.
What it means for you
Enforcement that adapts to the person beats one-size-fits-all rules.
India’s Digital Personal Data Protection Act pushes firms to find, classify and control personal data.
What it means for you
DPDP compliance is a major India data-security driver; scope it now.
AI woven through data security — auto-classifying, prioritising risk, and adapting — is Forcepoint's ‘self-aware’ direction.
What it means for you
AI is becoming core to how data security scales, not a bolt-on.
Open any of the eight intel pages for the deep dive, or let a TechBag advisor build the case with you — data-security scoping, compliance (DPDP) mapping, PoCs, quotes, GST invoicing and support included.
Stats, positions and figures are illustrative syntheses of public materials; verify before purchase.