Protect Sensitive Data in Motion—Without Slowing Down the Business

As enterprises scale real-time integrations, sensitive data flows continuously through Kafka, IBM MQ, Sterling B2B Integrator, and other high-speed messaging systems. Without visibility and control, these data-in-motion environments create blind spots and compliance risks.

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Kontxtual DLP for Streaming Data

Kontxtual DLP for Streaming Data brings inline, policy-driven protection to every stream—classifying and enforcing policy at the point of transmission. So, you can secure sensitive data without slowing performance.

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Streaming Architectures Require a New Approach to DLP

Traditional DLP was built for endpoints and data at rest. But with modern streaming architectures, sensitive data is in constant motion—crossing APIs, queues, brokers, and partner networks in milliseconds.

Unmonitored data leaving the organization
Noncompliance with HIPAA, PCI DSS, GDPR, and other frameworks
Lack of audit-ready reporting on data-in-motion

You need DLP built for velocity and context.

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How Kontxtual DLP for Streaming Works

Kontxtual applies real-time protection and enforcement to high-volume, high-speed streaming pipelines. Integrated at the edge, it inspects, classifies, and acts on sensitive data in motion—without disrupting throughput.

What Sets it Apart:
Deep Streaming Integration: Natively supports IBM Sterling B2B Integrator and other streaming protocols with format-aware parsing.
Inline, Context-Aware Enforcement: Inspects payloads, headers, and metadata in real time to detect sensitive content, apply policies, and take automated action.
Intelligent Policy Decisions: Applies rules for redaction, quarantine, blocking, or routing based on sensitivity, flow, destination, and user behavior.
Edge-Level Visibility & Control: Deploys at ingress/egress points across hybrid environments to stop exfiltration and enforce compliance upstream.

Key Capabilities for Data-in-Motion Security

Capability
What it Does
Why it Matters
Real-Time Streaming Inspection
Inline Classification & Labeling
Protocol-Aware Inspection
Policy-Driven Redaction & Blocking
Contextual Risk Scoring
Audit & Reporting for Streaming Data
Monitors and classifies sensitive data in Kafka, MQ, B2B flows, and more.
Applies tags and labels to data in motion based on content and context.
Understands format and structure for streaming protocols.
Automatically removes or blocks sensitive fields in motion.
Assigns dynamic risk scores to streaming records.
Captures detailed logs of events, decisions, and actions.
Prevents unauthorized exposure before it reaches downstream systems.
Enables precise policy enforcement without delay.
Ensures accurate classification across diverse systems.
Reduces exposure while maintaining business continuity.
Prioritizes high-risk events for response and escalation.
Simplifies compliance reporting and accelerates investigations.
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Key Benefits for Data, Security, and Compliance Teams

Kontxtual DLP for Streaming Data eliminates blind spots, secures integration points, and ensures your policies follow data everywhere it moves.

Prevent Leaks in Motion: Block sensitive data from reaching unauthorized systems or third parties—before it's too late.
Enforce Policies Across the Wire: Apply classification, access, and encryption policies to streaming data in real time.
Secure Legacy & Modern Pipelines: Protect data flowing through Sterling B2B, Kafka, MQ, APIs, and more.
Streamline Compliance: Automatically detect, log, and enforce controls for regulated data in transit for HIPAA, PCI-DSS, GDPR, and other frameworks.
Accelerate Incident Response: Trigger alerts and remediation when sensitive data flows violate policy.
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Top Use Cases for Streaming DLP

Kontxtual adapts to your unique streaming architecture and business priorities.

Secure Sterling file flows
Enforce classification and policy in IBM Sterling before sensitive data reaches partners, apps, or cloud destinations.
Support data minimization and Zero Trust
Classify and block oversharing or contextually risky data before it proliferates.
Third-Party Risk Controls
Prevent overexposure by controlling sensitive data sent to vendors and partners.

Add-Ons That Extend Streaming Data Protection

Take your discovery and classification capabilities even further with these powerful add-ons:

Data-in-Motion Analysis Engine
Tracks, classifies, and scores sensitive flows to enforce policy mid-transit.
Block or redact high-risk content before it reaches destination.
Network Protocol Classification
Detects sensitive data in transit over SQL, HTTP, and SMB.
Surface hidden exfiltration risks across integration paths.
File Encryption Enforcement
Applies encryption to sensitive records midstream
Protects sensitive files without interrupting business logic.
On-Prem
Auto Tagging
Backfills metadata for unstructured data in transit
Maintains governance consistency across cloud and legacy systems.
Browse All Kontxtual Add-Ons

Trusted to Protect Data in Motion at Scale

Enterprises rely on Kontxtual DLP for Streaming Data to secure sensitive flows, enforce policy in real time, and simplify compliance across high-volume integration environments.

Fortune 500 Hospitality Leader

Following a high-profile breach, this organization required real-time DLP integrated with its IBM Sterling B2B flows. Kontxtual deployed streaming data classification and policy enforcement at the edge—accelerating compliance, rebuilding trust, and reducing risk exposure.

Fortune 100 Financial Services Provider

Managing over 100,000 files per day, including records larger than 5GB, this firm faced scale and performance issues with its legacy DLP system. Kontxtual DLP deployed in under 15 minutes, scaled effortlessly via OpenShift, and cut operational costs by 50%, all while improving throughput and compliance alignment.

Where DLP for Streaming Data Fits in Your Data Maturity Journey

DLP for Streaming Data helps teams move from post-incident investigation (Stage 2) to proactive, inline enforcement (Stage 3) on the Kontxtual Maturity Map. It builds on existing classified and inventory efforts, adding real-time protection for data in motion—where traditional tools fall short.

With Kontxtual Streaming DLP, organizations gain:
Inline protection across Kafka, Sterling, and MQ
Real-time risk scoring and policy enforcement
Audit-ready reporting across streaming environments
Talk to an expert about automating your data classification workflows.
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Explore the Kontxtual Maturity Map

Ready to Protect Data in Motion?

Secure sensitive data without compromising speed. See how Kontxtual protects streaming data across modern and legacy systems—inline, in real time, and at scale.
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