SISA Radar – Data Classification Tool
Transform unstructured sensitive data into actionable insights and strengthen data security.
The need for classifying sensitive data
Sensitive data is often scattered across systems and remains unclassified, making it difficult to identify what needs protection. Without clear classification, organizations cannot apply the right controls, increasing the risk of data exposure and compliance gaps.
What SISA Radar Data Classification covers
SISA Radar offers flexibility to design data classification schemes aligned with organization’s unique policies, regulatory requirements, and risk posture.
Key Solution Features:
Broad-based PII Coverage: Identifies and classifies 350+ PII to help organizations adhere to data privacy compliance standards such as GDPR, CCPA, LGPS, APRA and POPIA.
Audit-Ready Classification History: Tracks data classification evolution over time for compliance.
Classification-Based Protection: Applies security measures such as print restrictions and domain controls to safeguard sensitive data and prevent unauthorized access.
Automated Classification: Out-of-the-box functionality automatically detects file sensitivity and applies the appropriate classification.
Innovative new use-cases: Use-cases are built on global forensic intelligence and real-world breach insights for enhanced preventive and detective controls.
How we deliver
SISA Radar’s data classification engine is developed with an in-house algorithm, built after years of experience and forensic insights.
AI/ML-Powered Classification
Includes state-of-the-art features such as AI/ML, Named Entity Recognizer, and OCR capabilities to help streamline the process of data classification.
Seamless Workflows
The workflows and classification schemes defined in SISA Radar help organizations conduct seamless classification activities with optimum CPU usage and set effective data security policies.
Data Accountability
Automated labelling classifies data (Public, Internal, Restricted, Confidential), maps it to privacy regulations and provides risk dashboards to help privacy teams focus on high-burden datasets.
Data Loss Prevention
Classification labels feed directly into DLP tools and metadata tags allow DLP to enforce policies with precision - blocking, encrypting, or quarantining based on actual sensitivity.
Quantum-safe Encryption
Quantum key and cryptographic key discovery capabilities help organizations identify existing algorithms and detect weakened encryption standards currently in use, that may put sensitive data at risk.
Technology Coverage
SISA Radar is built to operate across distributed environments spanning OS, databases, apps, and cloud, while seamlessly integrating with security platforms.
Servers & Operating Systems
Windows, Linux, Suse, Solaris, Ubuntu, IBM AIX
Databases
Microsoft SQL Server, PostgreSQL, Oracle, MySQL, MongoDB, Informix, MariaDB, SQLite, IBM DB2
Applications
Microsoft Office365, Zimbra, OpenOffice
Cloud Storage
OneDrive, SharePoint, Amazon S3, Microsoft Azure
Security Tools
DRM, DLP, IRM, Azure AD/LDAP, SIEM, MDR and SOAR
Why Our Data Classification Is Different
A single, unified platform, that classifies sensitive data consistently across endpoints, databases, and multi-cloud environments with flexible deployment models.
SISA Radar’s classification suite enables organizations to visualize data flows and understand the criticality of sensitive data, helping identify appropriate remediation measures.
Customize the definitions and labels as per the organization’s nomenclature and classification.
Select between customized, new or standard criticality types as defined in SISA Radar.
Refine and finetune the classification by adding relevant keywords and applying status filters.
Benefit from accelerated deployment using agent-based and agentless modules for cloud and manual agent for on-premise.
FAQs
A data classification tool is a software solution that automatically categorizes discovered data into distinct tiers—such as Public, Internal, Confidential, or Restricted—based on its sensitivity, business value, and regulatory compliance risk.
Classification is essential for highly regulated sectors like defense and legal services. However, any industry doing business that involves intellectual property or strict privacy mandates needs data classification to automatically tag and protect sensitive files from unauthorized exfiltration.
Metadata tagging embeds hidden identifier tags directly into a file's properties. This tag follows the document wherever it travels, allowing Data Loss Prevention (DLP) tools to read the label and block unauthorized transfers or leaks.
Most frameworks utilize four primary tiers: Public (low risk, open distribution), Internal (general business operations), Confidential (restricted to specific teams), and Restricted/Secret (highly sensitive data requiring maximum encryption and access controls).
Yes, modern classification tools leverage automated content analysis and contextual indicators to read and classify documents instantly, replacing slow, error-prone manual labeling by employees.
When integrated with Data Loss Prevention (DLP) systems, classification tags trigger automated rules. For instance, a document labeled "Restricted" can be automatically blocked from being uploaded to public cloud storage or emailed outside the corporate domain.
Data discovery focuses on locating and unearthing text strings and files across your network architecture. Data classification takes those discovered assets, labels them with persistent metadata tags, and applies specific security policies based on their category.
SISA Radar seamlessly integrates discovery with persistent data classification. It labels discovered cardholder data, PII, and financial records with metadata tags, enabling enterprises to enforce targeted encryption, restrict access, and simplify privacy audits.
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