Datasheet

SWOT DAM datasheet

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Database activity monitoring

SWOT DAM

Rudratic Technologies

Database activity, read from native audit trails and scored per identity

SWOT DAM is self-hosted database activity monitoring. Read-only collectors poll each database’s own audit trail, so nothing is installed on the database server and no business data is copied. Every identity gets a 0 to 100 risk score against its own 30-day baseline, new columns are classified for sensitive data every 24 hours, and audit exports are signed with a SHA-256 receipt.

The problem

Database audit trails exist on most platforms but sit unread, in different formats per engine. Investigations then depend on SQL fluency and manual log correlation, so the queries that matter are found long after they ran.

  • 0Agents on the database server
  • 0–100Risk score per identity, on a 30-day baseline
  • 4Frameworks mapped: PCI DSS, HIPAA, SOX, GDPR

Core capabilities

Native audit collection

  • Reads Oracle Unified Audit, pgAudit, SQL Server Audit, server_audit and cloud audit logs
  • Read-only credentials; catalogue metadata and audit views only

Behavioural risk

  • A 0 to 100 risk score per identity
  • Measured against that identity’s own 30-day baseline

Sensitive Data Sentinel

  • Classifies new columns every 24 hours from names and types
  • Uses OpenAI, Azure OpenAI or a local Ollama model

Alerts and response

  • Four alert rules with deduplication
  • AI Threat Insights drafts containment SQL; LiveOps ends sessions after two confirmations

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Enterprise capabilities

Audit evidence

  • Signed CSV and PDF exports with a SHA-256 receipt
  • Mappings to PCI DSS, HIPAA, SOX and GDPR controls

SIEM and ticketing

  • Splunk (HEC), QRadar and ArcSight (CEF over syslog)
  • ServiceNow, Jira and PagerDuty webhooks, and e-mail

Deployment

  • Self-hosted on Docker Compose
  • Or a native Windows service for air-gapped Windows Server 2019 and 2022

Platform modules

Monitoring Deck
The whole fleet at a glance: instances online, host gauges and alert counts.
Forensic audit log
Every captured event with its SQL, user, client address, status and risk.
Alerts
Schema changes, suspicious grants and brute-force sign-ins, ranked by severity.
Behavioral Risk Radar
Per-identity risk scores against each identity’s own baseline.
AI Threat Insights
Root cause, why it matters and the script to contain it.
LiveOps
Which session blocks which, and ending a session after two confirmations.
Security posture
CIS checks, encryption status and privilege sprawl in one score.
Frameworks
Evidence for PCI DSS, HIPAA and SOX controls, ready to export.

Technical specifications

DatabasesOracle 19c to 23c, PostgreSQL 14 to 16, SQL Server 2017 to 2022, MySQL 8.0 and MariaDB
Managed cloudAmazon RDS and Aurora, Azure SQL, Google Cloud SQL
CollectionRead-only collectors polling native audit trails; no inline proxy, no kernel hooks
Data copiedNone: catalogue metadata, audit views and system views only
EvidenceSigned CSV and PDF exports with a SHA-256 receipt
DeploymentDocker Compose, or a Windows service for air-gapped sites

Framework mapping

  • PCI DSS 4.0
  • HIPAA
  • SOX 404
  • GDPR Art. 32

Evidence mapped to these frameworks. Whether a control is met depends on your configuration, scope and assessor.

Rudratic Technologies Ltd · London and Chennai · info@rudratic.com · rudratic.com/products/swot-dam

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