Protect Sensitive Data with Modern Data Loss Prevention (DLP)
Accelerate AI innovation and cloud adoption securely. with the most advanced DLP, using automated classification and intelligent guardrails to consistently protect sensitive data everywhere, including all your AI environments.
Data Is Everywhere — And Hard to Control
As organizations adopt cloud services and remote work, sensitive data is no longer confined to internal networks.
Common risks include:
• Data shared through SaaS applications (e.g., file sharing, email)
• Accidental exposure of confidential information
• Malicious data exfiltration by insiders
• Lack of visibility into where sensitive data resides
• Compliance violations due to uncontrolled data movement
Traditional tools are fragmented and often fail to provide consistent data protection across all channels.
Benefits of Modern DLP
Full Visibility into Sensitive Data
Understand where your data lives and how it is used.
Prevent Data Exfiltration
Block or restrict unauthorized data transfers in real time.
Unified Policy Enforcement
Apply consistent data protection policies across SaaS, web, and endpoints.
Compliance & Governance
Support regulatory requirements with auditable controls and reporting.
Insider Risk Reduction
Detect and prevent risky or malicious user behavior.
What is Data Loss Prevention (DLP)?
Data Loss Prevention (DLP) is a set of technologies and policies designed to identify, monitor, and protect sensitive data from unauthorized access or transmission.
DLP solutions help organizations:
• Discover and classify sensitive data (PII, financial, intellectual property)
• Monitor data in motion, at rest, and in use
• Enforce policies to prevent data leakage
• Control sharing across cloud apps, web, and endpoints
• Maintain compliance with regulatory requirements
How DLP Works
- Sensitive data is discovered and classified (e.g., PII, financial data).
- Security policies are defined based on business and compliance needs.
- Data activity is continuously monitored across cloud apps, web, and endpoints.
- Policy violations are detected in real time.
- Actions are enforced (block, alert, quarantine, encrypt, or restrict).
This ensures continuous protection of sensitive data across all environments.
Common DLP Use Cases
Protecting Sensitive Customer Data
Prevent exposure of personal and financial information.
Securing SaaS Applications
Control data sharing in platforms like Microsoft 365 and Google Workspace.
Preventing Insider Data Leaks
Detect and stop unauthorized data transfers by employees.
Regulatory Compliance
Meet requirements for GDPR, HIPAA, PCI-DSS, and other frameworks.
Our DLP Services
We help organizations design and deploy effective DLP strategies aligned with their business and regulatory requirements.
Our services include:
• Data discovery and classification
• DLP architecture design
• Policy definition and tuning
• Integration with CASB, SWG, and email systems
• Incident response workflows and alerting
• Continuous optimization and reporting
Take Control of Your Data Security
Protect sensitive data across your organization with a modern, unified DLP strategy.