Data protection & governance
Govern sensitive data with confidence—across systems and AI workflows.
IronDP unifies visibility, policy, and operational controls so teams can move faster without losing sight of what matters: where sensitive data lives, how it is used, and whether governance intent is actually enforced.
- Continuous visibility into sensitive data and usage signals
- Policy automation designed for cross-functional review cycles
- Controls that align with how modern teams ship software and AI features
What IronDP does
A practical control plane for sensitive data—built for how work happens today.
Most organizations do not lack policy documents—they lack durable mechanisms that connect policy to systems, workflows, and accountability. IronDP is designed to bridge that gap with a platform approach: discover and classify sensitive data, orchestrate governance decisions, and enforce outcomes in the places data is created, moved, and consumed.
Whether you are tightening access patterns, preparing for AI expansion, or reducing operational risk from fragmented tooling, IronDP focuses on outcomes you can operationalize: fewer blind spots, clearer ownership, and faster, safer decisions.
Step 1
Discover
Map sensitive data and usage context across systems so teams can prioritize with evidence—not guesswork.
Step 2
Decide
Run consistent governance workflows with approvals, exceptions, and audit trails that match enterprise process.
Step 3
Defend
Translate policy into enforceable controls and measurable oversight across data movement and AI touchpoints.
Capabilities
Everything you need to govern data like a product—not a project.
IronDP combines visibility, policy lifecycle, and enforcement hooks in a cohesive model so teams can scale governance without turning it into a bottleneck.
Classification & sensitivity
Identify regulated, confidential, and high-risk data with consistent labels that propagate through downstream systems and reporting.
Policy lifecycle
Draft, review, and publish policies with versioning, ownership, and clear applicability—so intent stays aligned with reality.
Access & usage visibility
Understand who accessed what, when, and through which paths—across services, pipelines, and analytical environments.
Enforcement hooks
Integrate with identity, ticketing, and deployment workflows to prevent risky changes before they become incidents.
Operational approvals
Standardize exception handling with time-bound approvals, compensating controls, and renewal checkpoints.
Audit-ready reporting
Produce evidence packs for leadership reviews, partner diligence, and internal assurance—without manual spreadsheet archaeology.
Outcomes
Reduce risk without slowing delivery.
Fewer blind spots
Replace fragmented spreadsheets with a living inventory tied to usage signals and ownership.
Faster cross-functional reviews
Bring security, legal, data, and engineering into a shared workflow with clear accountability and status.
Safer AI adoption
Apply consistent guardrails to datasets, prompts, retrieval sources, and model outputs connected to sensitive context.
Operational resilience
Detect drift early—policy changes, access anomalies, and integration gaps—before they become systemic issues.
Trust
Built for teams who operate under scrutiny.
99.95%
Target platform availability
Designed for enterprise operations with clear maintenance windows and proactive communication.
24h
Critical support response
For production-impacting issues, IronDP aligns to enterprise expectations on severity and escalation.
SOC 2
Security program alignment
IronDP maintains a disciplined security engineering practice and customer-ready assurance artifacts.
Zero
Surprise data handling
Transparent architecture choices and deployment options that keep governance intent explicit and reviewable.
Operating principles
- Least privilege by default: access patterns should be explainable and revocable.
- Evidence over theater: reporting should reflect what systems actually did—not what someone hoped they did.
- Human-in-the-loop where judgment matters: automation accelerates decisions; it does not replace accountability.
Who we serve
A shared foundation for security, data, engineering, and AI programs.
Security & GRC
Strengthen assurance with consistent controls, traceable approvals, and operational metrics leadership can trust.
Typical workflows include access reviews, sensitive dataset onboarding, and AI feature readiness checks.
Data & analytics
Protect datasets and pipelines while enabling analysts to work with clear boundaries and reproducible governance context.
Typical workflows include access reviews, sensitive dataset onboarding, and AI feature readiness checks.
Engineering & platform
Embed governance into delivery with integrations that meet teams where they already work—without fragile one-offs.
Typical workflows include access reviews, sensitive dataset onboarding, and AI feature readiness checks.
AI program leads
Ship AI features responsibly by connecting model behavior to data sensitivity, access, and policy outcomes.
Typical workflows include access reviews, sensitive dataset onboarding, and AI feature readiness checks.
See how IronDP fits your environment.
Walk through a tailored briefing: your systems, your governance model, and a pragmatic roadmap for visibility and enforcement.