
Data Protection
Safetica Platform
Combines endpoint and cloud DLP with insider risk analytics, from USB control to GenAI data leaks.
Safetica Platform Overview
What it does
Safetica Platform is a Data Loss Prevention (DLP) and insider risk management platform that protects sensitive data across endpoints, email, and cloud services from a single console. Its Contextual Defense engine classifies data by combining file content with context signals such as file origin, properties, and third-party labels, then scores every data operation by time, destination, transfer method, and classification, so blocking targets genuinely risky actions instead of disrupting everyday work. The platform is built for small and midsize enterprises.
How it works
A client installed on Windows and macOS endpoints monitors data movement across USB and removable storage, print, email attachments, instant messaging, and web uploads, while cloud-side coverage audits file operations in Microsoft 365 SharePoint, OneDrive, Teams, and Exchange, plus Google Drive. Safetica Unified Classification inspects content, including Optical Character Recognition (OCR) of scanned documents and images, alongside built-in regional and industry policy templates. Machine learning baselines normal behavior, and dynamic policies escalate from user notification with override to automatic blocking, including sensitive content headed to generative AI tools. Findings feed SIEM and analytics integrations.
Credentials and traction
Safetica Platform ranked #1 in the G2 Summer 2026 Data Loss Prevention (DLP) Usability Index and #1 in Insider Threat Management, and won three 2026 Global InfoSec Awards, including Groundbreaking DLP. Safetica was named a Trailblazer in the 2025 Radicati DLP Market Quadrant and listed in the 2026 MES Computing Midmarket 100. The vendor serves 5,000+ customers through 550+ partners in more than 120 countries, focused on small and midsize enterprises.
Key Capabilities
mapped to solution categoriesApplies sensitivity labels to data automatically based on content analysis and context without requiring users to manually classify documents before policy enforcement.
Extracts text from images, scanned PDFs, and screenshots to classify and detect sensitive data that would bypass text-pattern matching.
Monitors and enforces data movement policies on endpoints, blocking or logging USB transfers, clipboard operations, print jobs, and screen captures of content matching classification policies.
Applies preventative controls automatically such as blocking, encryption, alerting and user justification when sensitive data is detected.
Scores user risk dynamically based on role and behavior to prioritize data loss incidents.
Discovers and enforces data policies for content stored in or transiting through cloud applications and storage, extending DLP coverage to SaaS environments without endpoint agents.
Detects and controls sensitive data entered into generative AI tools, applying block, redact, or warn actions before data leaves the organization.
Ships policy templates for regulated data types such as PII, PHI and payment or financial data.
Integrates with SIEM platforms for incident response.
Correlates DLP policy violations with user behavioral context, distinguishing routine data movement from anomalous exfiltration patterns associated with insider threat or account compromise.
Provides granular incident reporting on data loss events.
Correlates user-centric content inspection across multiple channels to detect data loss.
Integrations
compatible toolsImplementation & support
Info last updated on August 3, 2026
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