Data Loss Prevention (DLP)

Overview#

The Argus Data Loss Prevention system protects your organization against unauthorized data exfiltration by combining machine learning detection, pattern-based content inspection, and real-time policy enforcement. Sensitive information is monitored and safeguarded across all communication channels, including email, file transfers, API interactions, and clipboard operations.

Key Features#

ML-Powered Detection - Machine learning models trained on diverse data sets identify sensitive information with high accuracy, reducing both false positives and false negatives compared to rule-based approaches alone.
Real-Time Content Inspection - Inline analysis examines data as it moves through your organization, applying policies before sensitive information can leave controlled environments.
Policy-Based Controls - Granular DLP policies define what types of sensitive data to detect, which channels to monitor, what actions to take on violations, and which users or departments are in scope.
Multi-Channel Protection - Comprehensive coverage across email, file uploads and downloads, API requests and responses, clipboard operations, print jobs, cloud sync, chat, and database exports.
Contextual Analysis - Detection considers the full context of data movement, including the user's role, location, time of day, destination, and data classification level to reduce false positives and prioritize genuine risks.
Automated Remediation - Configurable response actions include blocking, quarantining, redacting, encrypting, alerting, and creating incident tickets, applied automatically based on policy rules.
Pre-Built Policy Templates - Ready-to-use templates for common scenarios including PII protection, credit card data protection, source code and secrets protection, and healthcare data protection accelerate deployment.

How It Works#

Detection Approach#

Argus DLP uses a layered detection approach combining multiple methods:

Pattern Matching - Regex-based detection with contextual validation identifies structured sensitive data such as credit card numbers, social security numbers, and API keys. Keyword proximity analysis and format validation reduce false positives.
Machine Learning Classification - Trained models classify unstructured content to identify sensitive information that pattern matching alone would miss, including financial data, proprietary information, and healthcare records.
Anomaly Detection - Behavioral baselines for each user enable detection of unusual data access patterns, volume anomalies, suspicious timing, and unexpected destinations that may indicate exfiltration attempts.

Policy Enforcement#

DLP policies bring together detection and response:

Scope defines which departments, users, locations, and data classifications the policy applies to
Rules define what to look for, using pattern matching, ML classification, or a combination
Actions define what happens when a violation is detected, from logging and alerting to blocking and quarantine
Exceptions provide a controlled way to grant temporary exemptions with approval workflows and audit trails

Data Classifications#

Argus supports hierarchical data classification levels from Public through Internal, Confidential, Restricted, and Top Secret. Each classification level can have associated detection patterns, retention policies, encryption requirements, and regulatory framework mappings.

Incident Management#

When a DLP policy violation occurs, the system creates an incident record with full context including the triggering policy, affected user, detection method, confidence score, risk assessment, and any automated actions taken. Security teams can investigate incidents, confirm or dismiss findings, and track resolution through the incident lifecycle.

Compliance#

DLP supports compliance with:

GDPR - Data minimization, right to be forgotten, personal data protection
HIPAA - Protected health information safeguards and access controls
PCI-DSS - Credit card and payment data protection
SOC 2 - Access logging, data protection controls, incident response
CCPA - Consumer privacy rights and data protection

Availability#

Enterprise Plan: Full DLP suite included
Professional Plan: Core DLP with standard policy templates; ML-powered detection available as add-on

Last Reviewed: 2026-02-05

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