Products
AS DSV is a data security validation platform built by ASants for the continuous validation and risk quantification of data security protection capabilities. Spanning the full data lifecycle and centered on key security scenarios — data classification and grading, data masking, data loss prevention, and database security — it forms a closed loop from validation configuration and evidence collection to result presentation through standardized task orchestration, dynamically generated test cases, agent-based execution, target system interaction, result comparison, offline log import, manual correction, and scoring analysis. The system centrally manages validation tasks, target interfaces, databases, data sources, policies, test cases, and templates; retains configuration and execution snapshots; and presents scores, ratings, coverage, and protection status by scenario, task, asset, and test case — providing productized support for objectively identifying protection effectiveness, locating weak points, and tracing validation evidence.
Data Classification & Grading Validation
Validates whether relevant devices and identification policies can accurately discover sensitive data and complete reasonable classification and grading, focusing on missed detections, false identifications, classification deviations, and grading inconsistencies.
Data Masking Validation
Validates whether masking devices or policies take effect properly during data query, use, and sharing, identifying unmasked data, incorrect masking, excessive masking, and incomplete coverage.
Database Security Validation
Validates the ability of database security devices and policies to detect, alert on, audit, and respond to abnormal behaviors, focusing on missed alerts, false alerts, policy failures, and configuration deviations.
Data Loss Prevention Validation
Validates whether DLP devices and policies can identify, alert on, or block sensitive data flow across network, endpoint, and collaboration scenarios, evaluating missed alerts, false alerts, policy blind spots, and capability degradation.
Before a product goes into production, validates whether the key policies of classification & grading, data masking, DLP, and database security devices meet construction objectives — avoiding 'ineffective from day one.'
After rules, versions, network links, or business systems change, automatically executes baseline test cases to promptly discover capability regressions, configuration drift, and missed new scenarios.
Before major events, critical periods, and special inspections, centrally validates the protection of high-risk data, exfiltration channels, and database access behaviors, exposing weak points in advance.
Turns validation tasks, execution evidence, quantified scores, and revalidation reports into traceable materials, supporting data security compliance inspections, important-data risk assessments, and personal information protection audits.
Continuously analyzes risk scores, validation coverage, and remediation trends by project, scenario, asset, policy, and time — making data security construction measurable and operational results reportable.
Uses consistent test samples, validation cases, and decision rules to horizontally compare the identification, masking, alerting, and blocking capabilities of different products, supporting procurement decisions with objective results.
