The data-security leader — a Gartner & IDC MarketScape DLP Leader 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.
The company, at a glance
Quick answer
Forcepoint is a leading data-security company — a Gartner and IDC MarketScape Leader in Data Loss Prevention — whose ‘Data Security Everywhere’ platform protects sensitive data wherever it lives, moves and is used: endpoint, network, web, cloud, email and, increasingly, AI. Its flagship is Forcepoint DLP, one of the most widely-deployed enterprise DLP products in the world (12,000+ customers), which discovers and controls sensitive data in motion across every channel from a single policy. Around it Forcepoint has built an AI-native ‘self-aware’ data-security platform: DSPM (Data Security Posture Management) discovers and classifies data at rest across cloud, SaaS, databases and data lakes; DDR (Data Detection and Response) continuously monitors data in use; Risk-Adaptive Protection (RAP) personalises enforcement to each user's real-time risk; and the platform extends to CASB, email security, data classification and — via Forcepoint AI Mesh and DLP for AI — securing data in GenAI tools (ChatGPT, Microsoft 365 Copilot) and agentic AI. For enterprises whose core problem is protecting sensitive and regulated data across a sprawling estate, Forcepoint is a data-security benchmark, and TechBag is its India partner.
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.
The market-leading enterprise DLP — discovering and controlling sensitive data in motion across endpoint, network, web, cloud and email from a single policy. 12,000+ customers; a Gartner and IDC MarketScape DLP Leader. On-prem, cloud or hybrid.
Find and classify data at rest — with AI.
AI-powered data discovery and classification across cloud, SaaS, databases and data lakes — finding your sensitive data at rest, understanding its risk, and orchestrating protection. The ‘know your data’ foundation of the platform.
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. DDR brings threat-detection-and-response discipline to your data, securing posture the moment it's deployed.
Security that adapts to the person.
Individualised, behaviour-aware DLP — automatically tightening or relaxing enforcement based on each user's real-time risk score. Fewer false positives, less friction for low-risk users, tighter control on high-risk ones. The ‘human-centric’ edge.
See and control your SaaS.
Cloud Access Security Broker — discovering shadow IT, controlling sanctioned and unsanctioned SaaS use, and extending data protection into cloud apps. The SaaS-visibility-and-control layer of Data Security Everywhere.
Stop data leaving via email.
Inbound threat protection plus outbound DLP for email — enhancing Microsoft 365 and Google Workspace with advanced threat defence and data-loss prevention on the channel most breaches still use.
You can't protect what you can't label.
Data classification and labelling — tagging sensitive data (manually or automatically, including via visual labels) so every other control (DLP, DSPM, DDR) can enforce on it accurately. The metadata foundation of data security.
Let your people use AI — safely.
AI-native security for the AI era — AI Mesh and DLP for AI stop sensitive data leaking into GenAI tools (ChatGPT, Microsoft 365 Copilot), discover shadow AI, monitor AI usage, and secure prompts and agentic AI. Data security for how work happens now.
Forcepoint's Security Service Edge — SWG, ZTNA and CASB converged in the cloud, extending data security to secure access.
Forcepoint's enterprise NGFW and secure SD-WAN — network security and connectivity, and Remote Browser Isolation (RBI).
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
Long-standing
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.
Trusted by leading enterprises, banks & governments
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 & Gartner DLP Leader.
Data-security breadth vs depth of data protection — where Forcepoint leads.
The data-security leader — DLP everywhere, now AI-native with DSPM, DDR and DLP for AI. Deep, single-policy data protection 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 stopping leaks (DLP), finding your data (DSPM), insider risk (RAP), or AI (DLP for AI)? Forcepoint covers all four — name the primary pain first. TechBag scopes it free.
Where does sensitive/regulated data live and move — endpoint, email, web, cloud, SaaS, AI? DSPM can discover it. Mapping the estate is the foundation of a real data-security programme.
Run a proof-of-concept: see Forcepoint DLP catch real policy violations, DSPM find real sensitive data, or DLP for AI stop a real ChatGPT paste — on your environment.
Forcepoint's strength is Data Security Everywhere — DLP + DSPM + DDR + RAP sharing classification and policy. Weigh the integrated platform, not just a single 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 is your local partner for licensing, deployment (on-prem/cloud/hybrid), policy design, PoCs and support — GST invoicing throughout, with local DPDP expertise.
| Product | Licensing model | How you enter | Best for |
|---|---|---|---|
| Forcepoint DLP | Per user / per year | ~$52/user/yr entry; $75-150+ full-stack | 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 starts around $52/user/yr (full-stack $75-150+/user/yr); DSPM/DDR/AI by scope. TechBag models the mix and quotes in INR/GST.
DLP can only enforce on data it can identify — without good classification (Forcepoint Data Classification / DSPM), you get false positives and missed leaks. Classify first, or run DSPM to discover, then enforce.
Classic DLP focuses on data in motion — but you can't protect what you can't find. Skipping DSPM (data at rest) leaves vast troves of sensitive data undiscovered and unclassified. Data Security Everywhere exists for a reason.
Over-tight, static DLP floods teams with false positives until they turn it off. Risk-Adaptive Protection exists to fix exactly this — adapting enforcement to real behaviour. Scope RAP if noise is your worry.
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.
The flagship intel page carries an 8-question vendor checklist and an automation-savings calculator:
Bring your device counts 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 — discovering and classifying data at rest — is the fastest-growing data-security category; you can't protect what you can't find.
What it means for you
Discovery and classification are now the foundation of any data-security programme.
Employees pasting sensitive data into ChatGPT and Copilot is a top new data-leak vector — DLP for AI and shadow-AI discovery address 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 — Forcepoint's Data Security Everywhere — sharing 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 is pushing enterprises to discover, classify and control personal data — core DLP/DSPM work.
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.