Data Security & Compliance

Know where your sensitive data lives, control who can access it, and prove it on demand — data classification, DLP, masking, lineage, and AI-ready governance built for enterprises that can't afford a data breach or a failed audit.

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Ready to take control of your data?

Book a free 30-minute call with a senior data security architect and get a tailored data protection roadmap.

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THE SHIFT

Why Data Security & Compliance Are a Competitive Advantage

The most valuable asset most companies have isn't their software — it's their data. And in 2026, that data is increasingly distributed across cloud warehouses, lakes, SaaS apps, and AI systems that didn't exist five years ago. The companies that will thrive aren't the ones that lock data down — they're the ones that know exactly where sensitive data lives, who can use it, and how to prove it. Here's why founders, operators, and enterprise teams are investing in serious data security and compliance right now:

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Data Lives Everywhere Now

Your sensitive data is in the warehouse, in the lake, in 80 SaaS apps, in BI dashboards, in spreadsheets people have downloaded, and increasingly in AI prompt logs. Most teams don't know where their crown-jewel data actually lives — and you can't protect what you can't see.

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AI Changed the Threat Model

LLMs trained or fine-tuned on sensitive data may leak it. RAG systems can surface PII through prompts. AI agents access data with broader scope than any human user ever had. Traditional DLP doesn't cover any of this — and the regulators are catching up fast.

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Regulators Aren't Slowing Down

GDPR, CCPA, HIPAA, PCI DSS, the EU AI Act, state privacy laws — every quarter brings a new compliance obligation. Enterprises with mature data governance handle them in stride. Enterprises without it scramble at every audit.

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Breaches Cost Multiples of Prevention

The average enterprise data breach now costs millions in incident response, regulatory fines, customer churn, and class-action exposure. The same investment in classification, DLP, and access governance routinely costs less than 10% of a single breach.

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Data Governance Unlocks AI

Your AI ambitions depend on clean, well-governed, well-classified data. Companies with mature data governance ship AI products 3 to 5x faster than those still wrestling with where their training data came from and what's actually safe to use.

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Trust Is Now a Sales Asset

Enterprise buyers ask harder data-security questions than they did three years ago. "How do you protect our data?" is a deal-blocker question, and the answer better be specific. Mature data governance is now a sales accelerator, not just a cost center.

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Ready to turn data security into a strategic asset?

Get a custom data security plan — discovery, gap analysis, and remediation roadmap — within 24 hours.

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THE GAP

Why Most Data Security Programs Fall Short

Big-4 audit firms charge enterprise rates for data-classification reports that lose accuracy the moment business changes. Compliance vendors sell tooling that catches the easy 60% of sensitive data and miss the hard 40% — the data buried in derived tables, copied to spreadsheets, or fed into AI systems. Generalist consultants treat data security as an IAM problem and miss the actual data-layer concerns: lineage, classification drift, masking, and AI-specific exposure. Six months in, your DLP dashboards show green while sales reps are downloading customer lists to Excel. Your data lake has tables nobody can confidently classify. A new data scientist trained a model on PII because nobody flagged the source columns. Your auditors find the same gaps you found last year, in the same places, and the gap-closure tickets keep slipping. The work is real but it isn't translating to durable posture. That's where ZAPTA steps in — senior data engineers and security architects who treat data security as a data-engineering problem, AI-augmented classification and discovery, governance frameworks that scale with the business, and remediation work that actually closes the gaps instead of documenting them.

Who we help most

  • Vector Scaling SaaS preparing for enterprise security reviews.
  • Vector Regulated companies (healthcare, finance, legal) under continuous audit obligations.
  • Vector AI startups whose buyers are asking hard data-governance questions.
  • Vector Enterprises consolidating data security across cloud warehouses and lakes.
HOW WE HELP

How ZAPTA delivers data security & compliance

We offer four main ways to help — pick the one that matches the data security challenge you need to solve:

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Data Discovery & Classification

You don't fully know where your sensitive data lives — across warehouses, lakes, SaaS apps, and shadow data. We run AI-augmented data discovery and classification, mapping PII, PHI, PCI, financials, and proprietary data wherever they reside. Most discovery engagements run 4 to 8 weeks and produce a defensible data inventory you can hand to auditors and security teams.

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Data Loss Prevention & Masking

You know where the sensitive data is — now you need to protect it from the wrong access. We implement DLP, dynamic data masking, tokenization, format-preserving encryption, and access policies across cloud warehouses, BI tools, and applications. Most DLP and masking engagements run 6 to 12 weeks.

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Data Governance Programs

You need a sustainable data-governance program covering data ownership, lineage, quality, access reviews, retention, and continuous classification. We design and implement the frameworks, deploy governance platforms (Collibra, Alation, Atlan, OneTrust), and run organizational change-management. Programs typically run 12 to 24 weeks for first-time buildouts.

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AI / ML Data Security

You're shipping AI products and the data-security implications are different from traditional applications — training-data leakage, prompt injection, RAG governance, agent access scope, model abuse. We design AI-specific data protection covering training data, inference logs, RAG sources, and AI agent governance. Aligned to NIST AI RMF, EU AI Act, and ISO/IEC 42001.

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Not sure which path fits your situation?

Tell us where you are and we'll recommend the right approach — honestly.

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ENGAGEMENT MODELS

Flexible Ways to Work With ZAPTA

Every data security program is different — so is every team's budget, regulatory profile, and operational maturity. Choose the engagement model that matches how you want to work.

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Which engagement model is right for you?

Share your data security details and get a tailored recommendation within 24 hours.

Request a Tailored Quote
DIAGNOSTIC

Signs You Need a Data Security & Compliance Partner

If any of these sound familiar, it's time to bring in senior data security expertise:

01

You can't confidently say where every piece of sensitive customer data (PII, PHI, PCI, financials) lives across your stack.

02

Your last data-classification exercise is over a year old, the business has changed, and you suspect the inventory is now stale.

03

Your auditors keep flagging the same data-governance gaps year after year, and remediation tickets keep slipping.

04

Your sales team is downloading customer data to spreadsheets and you don't have a way to detect or prevent it.

05

Your data warehouse has tables containing PII that aren't masked or restricted at query time.

06

You're shipping AI products and don't have clear answers on training-data provenance, RAG-source governance, or prompt-log retention.

07

You're under enterprise security review and the data-security questions in the questionnaire are getting harder than your answers.

Recognize yourself in any of these?

Get a free 30-minute data security diagnostic from a senior architect.

SERVICES

Data Security & Compliance Services We Offer

A complete data security practice covering discovery, classification, protection, governance, and AI-specific data security — from first-time programs to enterprise multi-framework data governance:

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Sensitive Data Discovery

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AI-augmented discovery of PII, PHI, PCI, financial data, and proprietary data across cloud warehouses, lakes, SaaS apps, and shadow data sources.

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Data Classification & Tagging

Continuous, policy-driven classification at the column, row, and document level — feeding downstream DLP, masking, and access decisions.

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Data Loss Prevention (DLP)

DLP rollout across endpoint, email, cloud apps, and data-warehouse layers — with tuning to reduce false positives and operator burden.

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Data Masking & Tokenization

Static and dynamic data masking, tokenization, and format-preserving encryption for non-production environments and least-privilege access.

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Data Lineage & Cataloging

Automated lineage tracking and data-catalog implementation (Collibra, Alation, Atlan, Datahub) — turning data sprawl into navigable governance.

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Access Governance & Reviews

Role-based and attribute-based access controls, periodic access reviews, just-in-time access, and segregation-of-duties enforcement.

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Encryption Architecture

Encryption-at-rest, encryption-in-transit, key management with HashiCorp Vault / AWS KMS / Azure Key Vault, and column-level encryption for sensitive data.

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Privacy Compliance (GDPR, CCPA, HIPAA)

Data subject rights workflows, consent management, data residency controls, breach notification frameworks, and regulator-facing evidence.

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AI / ML Data Security

Training-data governance, RAG-source classification, prompt-log retention controls, AI agent access scoping, and data leakage prevention.

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Data Retention & Deletion

Retention policies, automated lifecycle management, right-to-erasure workflows, and certified data-destruction processes.

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Data Audit & Continuous Compliance

Continuous compliance monitoring, evidence automation, and audit-readiness for SOC 2, HIPAA, PCI DSS, ISO 27001, and GDPR.

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Data Breach Response

Incident response playbooks, breach forensics, regulator-facing disclosure support, and post-incident remediation.

Need a data security service you don't see listed?

We design custom engagements for unique data environments and regulated industries.

Discuss Your Project
PROCESS

How our data security & compliance process works

Every data security engagement follows a clear three-phase lifecycle, broken into execution sprints underneath. Discovery and assessment engagements typically run 4 to 8 weeks. DLP and masking implementations run 6 to 12 weeks. Multi-framework governance programs run 12 to 24 weeks. Continuous data security retainers run continuously.

PHASE 1

Discover and Classify

  • » Discovery workshops with data engineering, security, legal, and business stakeholders.
  • » AI-augmented sensitive data discovery across warehouses, lakes, SaaS apps, and shadow data sources.
  • » Data classification at column, row, and document level — mapped to regulatory requirements (PII, PHI, PCI, etc.).

Data discovery, classification, regulatory framing, gap assessment.

PHASE 2

Protect and Govern

  • » Dynamic data masking, tokenization, and format-preserving encryption for non-production and least-privilege access.
  • » Encryption architecture — at-rest, in-transit, column-level, with managed key services.
  • » Access governance — RBAC/ABAC, periodic access reviews, just-in-time access, segregation of duties.

DLP, masking, encryption, access governance, lineage, AI/ML protection.

PHASE 3

Operate and Improve

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  • » Periodic data-classification refreshes — handling business change, schema drift, and new sources.
  • » Regulatory change response — adapting controls to new state privacy laws, EU AI Act updates, etc.
  • » Pre-audit readiness reviews and audit support across SOC 2, HIPAA, PCI DSS, ISO 27001, and GDPR.
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Continuous monitoring, audit readiness, regulatory change response, ongoing governance.

Want this process for your data security program?

Tell us about your data environment and get a tailored security roadmap within 24 hours.

Start Your Engagement
STACK

Tools We Use for Data Security & Compliance

Our data security toolkit combines proven enterprise platforms, modern AI-augmented discovery, and senior data engineering — chosen for the specific data environment, not vendor partnerships.

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React
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Vue
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Nuxt
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Node.js
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NestJS
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Python
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FastAPI
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Django
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Go
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PostgreSQL
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AWS
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GCP
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Azure
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Terraform
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Datadog
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Sentry
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Stripe
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GitHub
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Copilot
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Building AI-Native Products

Transform your ideas into intelligent digital products with AI at the core. Our AI-native engineering approach combines human expertise with advanced AI tools to deliver scalable, secure, and high-quality software faster while reducing cost and accelerating innovation.

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WORK

Real Software Projects We've Shipped

Real scenarios where founders, operators, and enterprise teams brought us in to take control of sensitive data and pass audits with conviction:

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See our full data security portfolio

Browse SOC 2, HIPAA, PCI DSS, GDPR, and AI data governance engagements we've delivered.

View Our Portfolio
DELIVERABLES

What You Get When You Work With ZAPTA

Every data security engagement ships with audit-ready outputs your team owns long-term:

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Data inventory mapped to regulatory categories — PII, PHI, PCI, financials, IP, and proprietary.

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Data classification framework with rules, taxonomies, and ownership assignments.

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Data flow and lineage documentation — across warehouses, lakes, SaaS apps, BI tools, and AI systems.

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Gap assessment mapped to selected frameworks (GDPR, CCPA, HIPAA, PCI DSS, EU AI Act, etc.).

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DLP deployment with tuned policies, exception handling, and operator workflow integration.

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Dynamic data masking, tokenization, and encryption controls for sensitive data.

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Access governance framework — RBAC/ABAC, access reviews, just-in-time access, segregation of duties.

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Data catalog deployment (Collibra, Alation, Atlan, DataHub) with stewardship workflows.

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AI / ML data security controls — training-data governance, RAG governance, agent access scoping

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Continuous compliance monitoring and evidence automation pipelines.

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Operator runbooks, training materials, and stakeholder enablement documentation.

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Pre-audit readiness reports and post-audit handoff for sustained operations.

Ready to see these deliverables for your data?

Book a scoping call and receive a full deliverable list within 24 hours.

Book Your Scoping Call
WHY ZAPTA

Why founders and teams choose ZAPTA

Many companies offer data security and compliance services. Here's what makes ZAPTA a specialist data security partner:

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Data Engineering, Not Just Audit

We're a product engineering company first. Our data security work treats data as a data-engineering problem — lineage, classification, schema evolution, AI exposure — not just an IAM or audit checklist.

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AI-Native Data Security

We design data security for AI products by default — training-data governance, RAG-source classification, prompt-log retention, agent access scoping. Aligned to NIST AI RMF, EU AI Act, and ISO/IEC 42001.

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Senior Architects Only

Your engagement is led by senior data engineers and security architects who design and implement controls — not auditors who hand back gap reports and walk away. The same people who design the security posture also operate it.

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AI-Augmented Discovery

AI scales the boilerplate — sensitive data discovery, classification, policy authoring, evidence collection. Senior engineers scale the architecture, the regulatory interpretation, the risk-acceptance calls. Both are human-led where it matters.

INDUSTRIES

Industries we serve

Sectors where data security and compliance are a business requirement — not a nice-to-have.

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Fintech
Secure software for banking, payments, and finance.
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Real Estate & Construction
Smarter property and construction management software.
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Healthcare
Digital healthcare solutions for better patient care.
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Technology
Build scalable software and AI-powered products.
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Education
Modern EdTech platforms for smarter learning.
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Retail
Smart retail solutions that drive growth and sales.
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Insurance
Automate claims, policies, and compliance
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Compliance & Governance
Simplify compliance, audits, and risk management.
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Transportation & Logistics
Optimize logistics and supply chain operations.
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Energy
Intelligent software for modern energy operations.
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Securing data in a regulated or specialized industry?

Let's talk about regulatory framing, residency, and domain-specific data security constraints.

OTHER SERVICES

Beyond data security, full-stack services

Data security is one part of a complete data platform strategy. ZAPTA is a complete technology company — we design, build, and scale the full stack alongside your data security program so you can ship a complete data platform, not just a compliance dashboard.

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Data Solutions
Data platforms, warehouses, lakes, and pipelines designed with security and governance built in.
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Data Analysis
Embedded analytics, dashboards, and reporting with classification-aware access and masking.
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Predictive Insights
AI/ML predictive models with training-data governance and inference observability built in.
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Cloud Security & Compliance
Cloud security architecture, SOC 2/HIPAA/PCI DSS readiness, and cloud-infrastructure compliance.
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AI Solution Advisory
AI strategy, AI governance, and roadmaps for organizations integrating AI into operations.
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Cloud Strategy & Architecture
Vendor-neutral cloud strategy with data residency and compliance built into the topology.
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Custom Software Development
Custom applications and platforms with security and compliance designed in from day one.
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Support & Managed Services
Ongoing managed services for data security operations, exception handling, and continuous improvement.

Need more than just data security?

We deliver end-to-end product engineering — strategy, software, AI, automation, and cloud under one roof.

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QUESTIONS

Data Security & Compliance FAQs

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Cloud Security & Compliance focuses on cloud-infrastructure security and certifications (SOC 2, HIPAA, FedRAMP, ISO 27001) — IAM, network, encryption, posture management at the cloud-platform layer. Data Security & Compliance focuses on the data layer specifically — classification, lineage, DLP, masking, access governance, and AI/ML data protection. Most enterprises need both. We frequently deliver them as paired engagements.

Data discovery and classification engagements typically run 4 to 8 weeks. DLP and masking implementations run 6 to 12 weeks. Multi-framework governance programs run 12 to 24 weeks. AI/ML data security programs run 4 to 8 weeks. Continuous data security retainers run continuously. We commit to fixed milestones during scoping.

Pricing depends on data environment complexity, regulatory profile, and engagement model. We offer fixed-cost discovery and assessment, multi-quarter implementation programs, continuous retainers, and custom quotations. Most projects are scoped per engagement with transparent, upfront pricing. Book a call for a tailored quote within 24 hours.

Four primary models: Fixed-Cost Discovery & Assessment for first-time inventories, Data Security Implementation Programs for multi-quarter buildouts, Continuous Data Security Retainers for ongoing posture management, and Custom Quotations for regulated or non-standard work. We'll recommend the right fit during discovery.

Yes. AI/ML data security is a specialty — covering training-data governance, RAG-source classification, prompt-log retention, agent access scoping, and data leakage prevention. Aligned to NIST AI RMF, EU AI Act, and ISO/IEC 42001. We design AI-specific data protection from day one, not as an afterthought.

We're tool-neutral by design. Discovery and privacy: BigID, Securiti, OneTrust. Catalogs and governance: Collibra, Alation, Atlan, DataHub. Access governance: Immuta, Privacera, Okera. DLP: Symantec, Forcepoint, Microsoft Purview. Tokenization: Protegrity, Voltage, Vaultree. Native: Snowflake Horizon, Databricks Unity Catalog, Microsoft Purview, Google Dataplex. We pick the right tool for your environment.

Yes. Hybrid data environments — cloud warehouses + lakes + SaaS apps + on-prem + endpoint — are common. We use AI-augmented discovery to surface sensitive data wherever it lives and apply consistent classification frameworks across the full estate. Most discovery engagements complete in 4 to 8 weeks regardless of environment complexity.

We deploy classification platforms (BigID, Securiti, OneTrust, native cloud tools) that re-scan continuously and surface newly classified data automatically. Combined with data lineage and catalog deployment, this catches schema drift, new data sources, and business change before they create governance gaps.

Yes. GDPR + CCPA + HIPAA + SOC 2 + PCI DSS + state privacy laws + EU AI Act simultaneously is increasingly common. We map controls across frameworks to minimize duplicate work, build shared classification frameworks, and deploy unified evidence-collection automation. Multi-framework programs typically run 12 to 24 weeks.

Yes. Continuous data security retainers cover ongoing classification, gap remediation, regulatory change response, AI-data security, and continuous governance enforcement. Same senior team every month, predictable pricing, SLA-backed response. Often paired with our Cloud Security & Compliance service for end-to-end coverage.

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