Visual De-Identification

The easiest way to de-identify
images and video at scale.

PixelGuard safeguards DICOM and other medical visual information with reliable detection, automated de-identification, and enterprise-grade governance. Built for clinical, research, and AI workflows.

Get started See how it works
>99.8%
masking precision on burned-in PHI
18
HIPAA identifier classes detected
<60ms
per-image throughput
1-click
audit packet, evidence attached
The platform

One console, from raw capture to safe release.

The complete de-identification pipeline, in one place. Configure policies, automate obfuscation and masking, strip sensitive metadata, validate outputs, and maintain a complete audit trail at any scale.

01 · Deployment

Your data. Your environment. Zero data egress.

Deploy PixelGuard wherever your data lives and process it without moving raw data beyond your approved environment. Connect existing sources, configure policies, and start processing in minutes.

  • Cloud, VPC, or air-gapped on-prem deployment
  • Connectors for PACS, object stores, and streams
  • Ready-to-use HIPAA/GDPR compliant policy templates
DEPLOY
PixelGuard login dashboard preview
02 · Configuration

Define exactly how data is protected

PixelGuard lets you define, preview, and validate how sensitive information is transformed. Every rule is explicit, configurable, and aligned with your policy.

  • Suppression, pseudonymization, date shifting, and pixel masking
  • DICOM PS3.15 profiles out of the box
  • Deterministic date-shift and ID crosswalks
CONFIGURE
03 · Detection

Model-assisted detection built for images and video

PixelGuard applies AI-based text detection to identify PHI, including names, dates, MRNs, and ages. Detected entities are confidence-scored, classified, and passed into policy-driven transformation workflows.

  • User-specified policy rules
  • Token-level confidence scoring
  • Low-confidence routing to human review
DETECT
04 · Review

Human oversight where it matters.

PixelGuard supports authorized reviewers with side-by-side validation, role-based access, and a complete, traceable record of every decision.

  • Confidence-based review routing
  • Side-by-side original and masked views
  • Human-in-the-loop validation
REVIEW
05 · Governance

Full control. Complete visibility.

Track usage, errors, policy outcomes, and retention across every workflow. Every action and transformation is logged and available for audit.

  • Human-in-the-loop validation
  • Source-to-deidentified crosswalk logs
  • Immutable, exportable evidence packet
GOVERNANCE
06 · Delivery

Verified-safe, ready for any destination.

PixelGuard turns sensitive visual data into verified-safe, ready-to-use packages that can move confidently into the archives, databases, research environments, and ML pipelines that power what comes next.

  • Quality-assured data outputs
  • Metadata-safe packaging
  • Ready for downstream workflows
DELIVER
Privacy belongs in every frame, not bolted on after the risk appears.
– PixelGuard design principle
Every visual modality

If it carries sensitive information — PixelGuard protects it.

One detection layer spans the visual formats clinical and research teams actually use, identifying sensitive content and applying consistent, policy-driven masking wherever it appears.

Governance

Satisfy security requirements while keeping teams moving forward.

Privacy should never be the bottleneck. We focus on dependable obfuscation quality, low operational lift, and clear governance.

PixelGuard is built for high throughput environments where video and image data are continuously captured, processed, and shared. Teams can customize redaction rules, apply them in real time or batch mode, and validate every output with consistent logs and review traces.

Zero-Retention Modes

Run ephemeral processing paths with no raw data persistence.

Access Governance

Restrict policy edits, approvals, and exports by role, and set up SSO access.

Operational Speed

Process high-volume streams with low-latency inference paths.

Measurable Outcomes

Benchmark quality, number of files processed, and reviewer workload.

PixelGuard + NoteGuard

Go beyond visual data.
De-identify the full clinical story.

NoteGuard de-identifies clinical notes with the same intuitive, easy-to-use experience as PixelGuard.

Together, PixelGuard + NoteGuard is the only solution on the market that connects visual data and clinical context in one synchronized, privacy-safe dataset layer, enabling trustworthy multimodal datasets for research, analytics, and AI.

Check Out NoteGuard

One Connected Dataset

Create synchronized, analysis-ready datasets that keep visual and clinical data connected across ingestion and processing runs.

Multimodal Data Index

Bring de-identified frames, annotations, and clinical notes together in a single searchable record.

Consistent Patient Mapping

Maintain consistent record relationships across reruns without exposing source identity.

Timelines That Stay Intact

Preserve temporal patterns needed for longitudinal modeling while protecting original dates.

Start safeguarding visual data

Ready to unlock your visual data without compromising privacy?

De-identify images and video with confidence and move faster. Empower your teams to securely use visual data for research, collaboration, analytics, and AI.

Request a demo