51 lines
2.2 KiB
Markdown
51 lines
2.2 KiB
Markdown
# DLP gap analysis: AWatch-rus vs enterprise DLP class
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## Текущий контур AWatch-rus
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- Endpoint activity tracking (`aw-watcher-afk`, `aw-watcher-window`).
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- Browser URL/domain collection (native UIAutomation collector).
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- Rule-based категоризация web-активности.
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- Phase-1 DLP policy: rule match + incident bucket `aw-dlp-incidents_<host>` + локальный incident log.
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- Автоматизированный deployment (PowerShell, Ansible, Proxmox).
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## Разрыв до enterprise DLP уровня
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1. **Каналы перехвата**: почта, USB/MTP, печать, clipboard, мессенджеры, облака, file transfer.
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2. **Контент-анализ**: PII/dictionaries/EDM/IDM, advanced OCR, document fingerprinting.
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3. **Реагирование**: block/quarantine/workflow approvals, исключения, эскалации.
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4. **Расследования**: case-management, evidence chain, immutable audit.
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5. **Управление**: RBAC/SoD, policy lifecycle, multi-tenant admin model.
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6. **Интеграции**: SIEM/SOAR/ITSM, AD/IdP, ticketing.
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## Реалистичный roadmap
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### Phase 1 (сделано)
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- DLP policy JSON + rules.
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- Incident generation в отдельный AW bucket.
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- Incident cooldown/dedup.
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### Phase 2 (следующий шаг)
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- USB/print/clipboard collectors.
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- File-operation telemetry (create/copy/archive/upload hints).
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- Central incident aggregation/export.
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### Phase 3
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- Policy engine service (server-side), versioned policies, approval workflow.
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- Correlation engine (user + channel + object + time).
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- SIEM connector (CEF/JSON over syslog/HTTP).
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### Phase 4
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- Advanced detectors (dictionary packs, regex packs, OCR pipeline).
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- Risk scoring / UEBA.
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- Compliance reports (152-ФЗ / PCI DSS / ISO 27001-aligned evidence views).
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## Reference links (product capability benchmark)
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- https://www.infowatch.ru/products/dlp-sistema-traffic-monitor/vozmozhnosti-dlp-sistemy
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- https://www.infowatch.ru/products/dlp-sistema-traffic-monitor/sistemnye-trebovaniya-dlp
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- https://www.infowatch.ru/company/presscenter/news/zapatentovana-tekhnologiya-dlya-raspoznavaniya-teksta-na-izobrazheniyakh
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