πŸ” DLP

Data Loss Prevention for PII/PHI/PAN, IP & Regulated Content

Data Loss Prevention (DLP) prevents sensitive data from being exposed, misused, or exfiltratedβ€”on endpoints, in SaaS, across web/email, and inside clouds/data centers. SolveForce builds DLP that is accurate, actionable, and auditable: you get clear policies, low false positives, safe controls (block/quarantine/watermark/encrypt), and evidence that satisfies audits.

Where DLP fits in the SolveForce model:
πŸ”’ Security (Semantics) β†’ Cybersecurity β€’ 🧠 Analytics/Automation β†’ SIEM / SOAR
πŸ”‘ Identity & Access β†’ IAM / SSO / MFA β€’ πŸ” Zero Trust β†’ ZTNA β€’ SASE
πŸ“± Device trust β†’ MDM / UEM β€’ πŸ›‘οΈ Endpoint β†’ EDR / MDR / XDR
πŸͺͺ Keys & certs β†’ Key Management / HSM β€’ PKI β€’ Encryption
☁️ Cloud & DC β†’ Cloud β€’ πŸ–§ Fabric β†’ Networks & Data Centers


🎯 Outcomes (What SolveForce DLP Delivers)

  • Real control, low noise β€” accurate detection with policy actions you can trust.
  • Coverage where users really work β€” endpoints, SaaS, web/email, storage, and collaboration.
  • Inline Zero-Trust β€” enforce least privilege for data: watermark, read-only, redact, encrypt, or block.
  • Audit-ready β€” full timelines, artifacts, decisions, and approvals for PCI/HIPAA/ISO/NIST/CMMC.
  • Measurable improvement β€” fewer incidents, lower β€œshadow IT” risk, better user behavior.

🧭 DLP Scope (Where We Enforce)

  • Endpoints β€” copy/paste, screenshots, print, removable media, local exports.
  • Email β€” content/attachment inspection; quarantine/purge; tag/watermark.
  • Web / SWG β€” uploads to websites, file shares, unsanctioned SaaS; restrict per domain/category. β†’ SASE
  • SaaS / CASB β€” sanctioned SaaS (Drive/SharePoint/Box/Slack/etc.): share controls, watermark, read-only, external collaborator gates. β†’ SASE
  • Cloud storage & objects β€” buckets/containers/objects (SSE-KMS, tags, server-side encryption). β†’ Cloud β€’ Encryption β€’ Key Management / HSM
  • Data centers β€” file servers, NAS/SAN zones; microseg protections. β†’ Networks & Data Centers
  • Collaboration β€” link expiries, classification banners, block public links, AIP/labels alignment.
  • Printing/Scans β€” watermark, logging, or deny for sensitive classes.

🧱 Policy & Classification (How We Know What to Protect)

Data Classes (examples)

  • Personal: PII (names, addresses, SSNs, national IDs, phone, email).
  • Health: PHI (diagnoses, treatment codes, records).
  • Payment: PAN, CVV, IBAN, routing/account numbers.
  • Financial & HR: payroll, salary bands, tax docs, performance reviews.
  • IP/Trade Secrets: source code, models, designs, research.
  • Legal/Regulatory: export-controlled, attorney-client, investigations.

Detectors (combined for accuracy)

  • Validators/regex with checksums (e.g., Luhn for card numbers).
  • Dictionaries & keyword proximity (industry terms near PII tokens).
  • Document fingerprints (exact/near-exact match of templates/contracts).
  • File-type & structure (PDF, CSV, office formats; embedded content).
  • ML/NLP classifiers (contextual cues for IP/PHI/PII where patterns are weak).
  • Labels/metadata (AIP/Sensitivity labels, headers/footers, custom tags).

Best practice: build tiers (Public, Internal, Confidential, Restricted) and map them to actions per channel.


🧰 Controls (What Happens When We Detect)

  • Block / Quarantine β€” prevent send/upload; quarantine a copy for review.
  • Watermark / Read-Only β€” watermark documents; open in read-only; disable download on SaaS.
  • Redact / Mask β€” remove or obfuscate sensitive fields (e.g., partial PAN).
  • Encrypt β€” require S/MIME, TLS, or server-side encryption with customer-managed keys for stored objects. β†’ Encryption β€’ Key Management / HSM
  • Coach β€” just-in-time warning with user justification option for borderline cases.
  • Isolate β€” open the destination in Remote Browser Isolation (RBI) or restrict to managed device via ZTNA. β†’ ZTNA
  • Ticket & Notify β€” open case, notify data owner/legal/IR; require manager/legal approve for release.

Inline where it matters

  • Endpoint agent: acts before content leaves the device.
  • SWG/CASB/SSE: acts on web/SaaS flows at edge PoPs. β†’ SASE
  • Email gateway: quarantines or rewrites with encryption/watermark.

πŸ”’ BYOD, Contractors & Partners (Practical Zero Trust)

  • BYOD: require work profiles/app containers; apply per-app VPN; enforce DLP only in work container. β†’ MDM / UEM
  • Contractors/partners: clientless ZTNA with read-only/watermarks; prevent download for unmanaged devices. β†’ ZTNA
  • Admin access: PAM elevation with session recording when data is sensitive. β†’ PAM

🧩 Integrations (Make DLP Part of the System)

  • Identity β€” ABAC/RBAC, SSO/MFA, group-based exceptions. β†’ IAM / SSO / MFA
  • Device β€” posture gates (encryption on, EDR healthy, OS at minimum). β†’ MDM / UEM β€’ EDR / MDR / XDR
  • Network β€” SD-WAN/NAC for microseg/quarantine; block/shape exfil channels. β†’ SD-WAN β€’ NAC
  • Cloud β€” on-ramps and storage controls; object tagging/auto-encrypt. β†’ Direct Connect β€’ Cloud
  • Keys & Certs β€” customer-managed keys (CMK), envelopes, JWKS rotation. β†’ Key Management / HSM β€’ PKI
  • Analytics/IR β€” send events and artifacts to SIEM; trigger SOAR playbooks for review/contain. β†’ SIEM / SOAR

πŸ“ SLO Guardrails (Experience & Safety You Can Measure)

MetricTarget (Recommended)Notes
Inline decision latency (web/SaaS)≀ 50–150 ms at edge PoPKeep UX crisp
Endpoint decision time≀ 250–500 msLocal cache of policies
False positive rate≀ 3–5%Use fingerprints + validators
True positive precision (priority)β‰₯ 92–95%After tuning
Incident review SLA (Sev-2)≀ 24 hBusiness day triage
Evidence completeness100% for Sev-1/2Timelines + artifacts
Coverage (channels/policies online)β‰₯ 95%Enforced & reporting

πŸ§ͺ Tuning Loop (Keep Signal High, Noise Low)

  1. Pilot with coaching β†’ gather user justifications, refine rules.
  2. Add validators/fingerprints β†’ reduce regex-only hits.
  3. Split policies by channel β†’ stricter on web/email than internal shares.
  4. Stage to block β†’ after two-week stable precision on coached rules.
  5. Review exceptions weekly β†’ retire stale exceptions; enforce labels.
  6. Measure & publish β†’ false/true positive trends, incident closure time, user behavior improvements.

🧾 Compliance Mapping (Examples)

  • PCI DSS β€” PAN handling; masking/redaction; encryption at rest/in transit; logging.
  • HIPAA β€” PHI protection; minimum necessary; audit controls.
  • ISO 27001 / 27002 β€” classification, handling, transfer controls, monitoring.
  • NIST 800-53/171 β€” AC, AU, MP, SC families; boundary protections and monitoring.
  • CMMC β€” CUI handling; access, audit, and media protections.
    Evidence streams to SIEM with WORM/immutability options and case IDs. β†’ SIEM / SOAR

πŸ“¦ Data Architecture Aids (Make DLP Easier)

  • Label at creation (AIP/Sensitivity labels) in authoring tools; default to Internal.
  • Tokenize high-risk fields (PAN/PII) upstream; store surrogates in app DBs. β†’ Key Management / HSM
  • Encrypt by default (SSE-KMS, TDE, field encryption) with customer-managed keys. β†’ Encryption
  • Watermark sensitive exports; store immutable logs of data actions.

🧰 Implementation Blueprint (No-Surprise Rollout)

  1. Inventory data flows β€” where data is created, stored, moves, and exits.
  2. Define classes β€” PII/PHI/PAN/IP; map to label tiers and actions.
  3. Select channels β€” endpoint, email, SWG, CASB, storage; start with the highest-risk flows.
  4. Pilot policies β€” coach-only; collect justifications; measure precision/recall.
  5. Stage to enforce β€” block/encrypt/watermark for true-positives; keep coaching for gray areas.
  6. Wire analytics & IR β€” SIEM dashboards; SOAR review & containment playbooks.
  7. Educate β€” short, specific user prompts; show why an action was blocked and how to remediate.
  8. Audit packs — policy docs, policy→action maps, sample incidents, evidence exports.

βœ… Pre-Engagement Checklist

  • πŸ“„ Data inventory & classes (PII/PHI/PAN/IP/Legal).
  • πŸ‘₯ Identity model (groups/roles) and device posture baseline. β†’ IAM / SSO / MFA β€’ MDM / UEM
  • 🌐 Channels (endpoint, email, web, SaaS, storage) and priority flows.
  • πŸ” Crypto posture (SSE-KMS, TDE, CMK ownership). β†’ Encryption β€’ Key Management / HSM
  • πŸ“Š SIEM/SOAR destinations, incident SLAs, and review cadence. β†’ SIEM / SOAR
  • πŸ§ͺ Pilot ring users/teams, coaching vs block plan, policy owners.
  • 🧾 Compliance targets (PCI/HIPAA/ISO/NIST/CMMC) and evidence format.

πŸ”„ Where DLP Fits (Recursive View)

1) Grammar β€” content rides Connectivity & the Networks & Data Centers fabric.
2) Syntax β€” delivery patterns in Cloud determine where to inspect and act.
3) Semantics β€” Cybersecurity preserves the truth of data handling.
4) Pragmatics β€” SolveForce AI enriches context, reduces noise, and suggests safe actions.
5) Foundation β€” consistent terms via Primacy of Language.
6) Map β€” indexed across the SolveForce Codex & Knowledge Hub.


πŸ“ž Launch DLP That Users (and Auditors) Accept

Related pages:
Cybersecurity β€’ IAM / SSO / MFA β€’ ZTNA β€’ SASE β€’ MDM / UEM β€’ EDR / MDR / XDR β€’ SIEM / SOAR β€’ Key Management / HSM β€’ PKI β€’ Encryption β€’ Cloud β€’ Knowledge Hub


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