Forcepoint Authorized Partner · APAC AI-native delivery IP-protection specialists

The full Forcepoint stack.
Deployed, tuned, AI-accelerated.

We are an APAC-native Forcepoint partner. DLP, ONE SSE, Insider Risk, Data Security Cloud, Web Security & NGFW — designed, deployed and continuously optimised by 40+ certified engineers, with AI services built into every layer of delivery.

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Trusted by security teams across APAC
⬢ TIER-1 BANK · MY◇ GOVT AGENCY · SG▲ TELCO · ID○ MFG GROUP · IN◈ HEALTHCARE · TH
$4.45M
avg APAC breach cost · IBM 2024
292 days
avg time to identify & contain
73%
avg DLP false-positive cut · Xentri
24×7
follow-the-sun managed SOC
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The APAC threat record

The breaches that taught us which controls actually matter.

A decade of APAC incidents — each one a lesson in which Forcepoint capability would have changed the outcome. We reference them constantly with customers, because regulators do.

5
Incidents tracked
2
IP-theft cases
3
Critical
Filter
Public-record incidents — regulator advisories, court filings, corporate disclosures.
2018
2022
2023
2025
The pattern

Every APAC breach above maps to one of four control gaps: data egress, insider behaviour, supply-chain access, and untrusted user-edge. The Forcepoint stack covers all four — the question is how it’s deployed and tuned.

See the matching products
Forcepoint product matrix

The four products that did the work in those breaches. And how we deploy them.

Capabilities, deployment options, integrations, and the IP-theft scenario each one is built to stop. Click a product to expand.

Forcepoint DLP

The IP-protection workhorse.

Discover, classify and protect sensitive data across endpoint, network, cloud and email — with risk-adaptive policies that escalate enforcement as user risk climbs. The product that catches data leaving your environment.

Capabilities
Risk-Adaptive Protection
Enforcement steps up automatically as the user's risk score rises — monitor, encrypt, prompt, block.
1,700+ pre-built classifiers
PDPA, DPDP, GDPR, PCI, HIPAA, source code, financial templates, semiconductor IP — out of the box.
OCR & document fingerprinting
Catches scanned IDs, screenshots of source, photos of whiteboards. Fingerprints structured DB exports.
Endpoint, network, cloud, email
One policy fabric across every egress channel — including USB, print, sync clients and SaaS uploads.
Channel coverage: 150+
Slack, Teams, ChatGPT, Claude, Gemini, M365, Workspace, Box, Salesforce, plus the long tail of shadow IT.
Deployment
On-premises
SaaS (Data Security Cloud)
Hybrid
Endpoint-only
Key integrations
Microsoft PurviewM365 / Azure ADSplunkCortex XSOARServiceNowOktaCrowdStrikeForcepoint ONE SSE
IP-theft scenario

Caught: the resignation-window IP exfil

A senior engineer adds 800 CAD files to a personal Google Drive over 14 days. Day one is monitor. Day three the user's risk score crosses threshold and DLP shifts to prompt. Day seven uploads are silently blocked while HR is notified. The IP never leaves.

Outcome
RM 40M IP saved · 14-day detection window
↓ 73%
False-positive cut
150+
Channels covered
1,700+
Pre-built classifiers
Discuss DLP for your stack
Side-by-side · Which product covers which control gap
Control gap
DLP
Insider Risk
Data Security Cloud
Web Security
Stops bulk data exfil
Endpoint
Cloud-native
Cloud-native
Stops insider IP theft
Adaptive
Core
Cloud-native
Catches GenAI prompt leaks
Core
Web channel
Stops ransomware ingress
Core
Catches over-permissioned data
via DSPM
via DSPM
Branch / OT segmentation
NGFW
APAC data residency
SG · IN
SG · IN
Global
Risk-adaptive enforcement
Core
Core
Core
Xentri AI Services

Where most partners ship people, we ship people and AI.

Three production AI services wrap our Forcepoint delivery — turning weeks of policy work into hours, hours of triage into minutes, and one-time tuning into continuous optimization.

PolicyForge
AI

AI-assisted DLP policy authoring

Feed in your data classification, regulatory context and acceptable-use intent. PolicyForge generates Forcepoint DLP rule drafts your team can refine and ship — instead of building them from scratch.

Rule authoring time↓ 8×
FrameworksPDPA · DPDP · GDPR
Sentinel
Managed AI SOC

AI-driven incident triage for Forcepoint

Your Forcepoint events stream into Sentinel. Our AI clusters look-alike alerts, prioritizes by business impact, and drafts response actions for our analysts to execute 24×7.

Mean time to triage↓ 84%
Auto-handled alerts62%
Optimize
Continuous ML

Continuous Forcepoint policy tuning

Optimize learns from your incident history and proposes monthly policy tunings — pruning noisy rules, tightening blind spots, and keeping your Forcepoint posture sharp as your business changes.

False-positive cut↓ 73%
CadenceMonthly · automated
APAC Industries

Built for the regulators your CISO actually answers to.

Each industry maps Forcepoint capabilities to the regulatory pressure your sector lives with — locally, not generically.

Banking & Financial Services

MAS-TRM · BNM RMiT · RBI cyber-security framework · insider-risk for trading floors

Government & Public Sector

High-side / low-side data flows · cross-domain DLP · PDPA citizen-data protection

Healthcare

PHI protection · HIPAA-aligned controls for APAC · clinician-friendly access

Manufacturing & OT

IT/OT segmentation · IP and design-data DLP · supplier-portal control

Telecommunications

Subscriber-data protection · CDR exfiltration controls · regulator reporting

Education

Student-data privacy · BYOD-heavy SSE deployments · GenAI usage controls

Resources

Get sharper, faster.

Field-tested guides, customer outcomes, and the playbooks our architects actually hand to clients.

Browse the full library
CB-2025-04 · Banking · Malaysia

Tier-1 Malaysian bank cuts DLP false positives by 73% in 90 days

A six-week PolicyForge engagement replaced 18 months of manual rule tuning — and gave the SOC back two analysts.

12 min readForcepoint DLP + PolicyForgeBNM RMiT mapped
XENTRI/CASE-STUDIES
engagement-record.md
Case Study
−73%
False-positive rate
4,200 → 1,134 alerts/wk
6 wk
Time to production
vs. 9-month internal baseline
2 FTE
Analyst hours returned
redeployed to threat-hunting
100%
BNM RMiT controls
mapped to live policies
How it ran
01
The starting position
847 active DLP rules, 32% policy overlap, no owner.
02
PolicyForge audit
Two-week corpus crawl across DLP, ONE SSE, Insider Risk.
03
Rebuild
142 consolidated rules, business-context tagged, peer-reviewed.
04
Sentinel SOC handoff
Tuned alert routing + 24/7 triage from KL ops centre.

More from the library

6 of 47 · see all →
Case Study
Indonesian semiconductor fab stops a $40M IP leak in week one
Manufacturing · 8 min read
Field Guide
MAS-TRM 2024: Forcepoint controls for Singapore financial institutions
38 pages · PDF
Webinar
Stopping source-code paste into ChatGPT: a live demo
On-demand · 32 min
Field Guide
DPDP India: cross-border transfer playbook for SaaS exporters
24 pages · PDF
Case Study
Thai hospital network: HIPAA + PDPA in a single Forcepoint policy plane
Healthcare · 10 min read
Whitepaper
GenAI data-loss: a control framework for ONE SSE + RBI
20 pages · PDF
Ready when you are

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30 minutes. No slideware. Bring your messiest control gap and we’ll sketch the Forcepoint shape of the answer — live.

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