Sensitive Data is Leaking.
Your Company's Reputation is at Risk.

DLP works through three key mechanisms: 1) Data Discovery - It scans your network, endpoints, and cloud storage to identify where sensitive data lives using content inspection and pattern matching (credit cards, SSNs, PHI, etc.). 2) Policy Enforcement - Based on your rules, it monitors data in motion (emails, file transfers, cloud uploads) and data at rest (stored files). 3) Automated Response - When violations occur, it can block, encrypt, quarantine, or alert—preventing data from leaving your control. It uses contextual analysis to distinguish between legitimate business use and potential data exfiltration.

Typical deployment timeline: Week 1-2: Initial discovery scan and policy planning (runs in background, zero disruption). Week 3: Pilot deployment to 10-20% of users in monitor-only mode. Week 4: Policy refinement based on pilot results. Week 5-6: Full rollout with enforcement enabled. Total: 4-6 weeks for complete deployment. The lightweight agent (46MB) installs silently and uses minimal CPU resources. Users typically notice no performance impact. We offer phased rollouts to minimize any potential disruption.

DLP provides granular policy controls to balance security with productivity: 1) Contextual Policies - Create rules based on user role, department, time of day, network location, and data sensitivity. 2) User Remediation - Allow users to override blocks by providing business justification (logged for audit). 3) Whitelisting - Approve specific recipients, applications, or cloud services for sensitive data sharing. 4) Monitor Mode - Start with visibility-only to understand data flow patterns before enforcing blocks. 5) Threshold Settings - Allow small violations (e.g., 1-2 credit cards) but block bulk transfers (100+ records). We help you design policies that protect data without frustrating users.

Our DLP solution minimizes false positives through accurate detection algorithms: Uses content analysis, regular expressions, and machine learning to identify truly sensitive data (not just numbers that look like credit cards). Context-aware policies that consider who is transferring what data to whom. Incremental enforcement: Start with alerts only, analyze patterns, refine policies, then enable blocking. User feedback loops: When false positives occur, users can report them, and policies are adjusted. Allowlist management: Pre-approve common legitimate scenarios. Our average false positive rate is less than 1% after initial policy tuning.

DLP directly supports compliance with major data protection regulations: GDPR (EU data protection) - Data discovery, right to erasure, breach notification, consent management. HIPAA (US healthcare) - PHI protection, access controls, audit trails, encryption requirements. PCI DSS (payment cards) - Credit card data detection, transmission encryption, access logging. SOX (financial reporting) - Financial data protection and audit trails. CCPA (California privacy) - Consumer data rights and protection. India DPDP Act - Personal data protection and consent management. DLP provides pre-built compliance templates for each regulation plus automated audit reporting.

Our DLP solution is designed for minimal performance impact: Lightweight agent is only 46MB (smaller than most apps). Uses less than 2% CPU during normal operations. Scans happen in the background without interrupting work. Email scanning adds less than 1 second delay to outbound messages. File transfers are scanned on-the-fly with no noticeable slowdown. Cloud-based architecture offloads processing from endpoints. Optimized for remote workers on VPNs. In our customer benchmarks, users report no productivity impact. Critical business processes like video calls, large file downloads, and database queries continue at full speed.

DLP offers extensive integration capabilities: SIEM Integration: Forwards logs and alerts to Splunk, IBM QRadar, Microsoft Sentinel, etc. Cloud Services: Native integration with Microsoft 365, Google Workspace, AWS, Azure, Dropbox, Box. Email Gateways: Works with Microsoft Exchange, Gmail, Proofpoint, Mimecast. Endpoint Security: Complements existing antivirus, EDR, and firewall solutions. Identity Providers: Syncs with Active Directory, Okta, Azure AD for role-based policies. Ticketing Systems: Creates incidents in ServiceNow, Jira when violations occur. API Access: RESTful APIs for custom integrations and automation.

Pricing Model: Annual per-endpoint licensing starting at ₹1,299-1,599 per device. Included in Price: All DLP modules (content protection, device control, encryption, eDiscovery), unlimited policies and rules, 24/7 technical support, regular updates and patches, cloud or on-premise deployment, compliance reporting templates, and initial setup assistance. No Hidden Costs: No separate licensing for server vs. endpoint, no bandwidth charges, no per-user fees for admin console access. TCO Benefits: Avoid breach costs ($4.45M average), compliance fines ($20M+ for GDPR violations), and legal fees. Customers typically see ROI within 6-12 months. Volume discounts available for 500+ endpoints.