DataAI Security for Manufacturing Industry

Leading manufacturers secure their sensitive data and accelerate AI at scale via the Securiti DataAI Command Platform.

Transform Hidden DataAI Risks Into Your
Source of Competitive Advantage

When risks outpace Data Security & Governance, how do you leverage the power of AI without losing control?

The solution is not focusing on AI models, Agents, and legacy security tools.

The solution begins with contextual intelligence about your sensitive data that enables your business and fuels your AI at scale.

94%
Manufacturing organizations use GenAI applications directly.
[1]
$155.04B
Projected market size for AI in manufacturing by 2030 (CAGR of 35.3%).
[2]
27.7%
Cybersecurity incidents in 2025 occurred within the manufacturing industry.
[3]
88%
Organizations are highly concerned about the security risks of GenAI.
[4]

Customer Stories

Global Specialty Manufacturer

Securing R&D IP & Reducing AI Risk

1PB+

Unstructured sensitive data discovered, classified, and governed

Leading Manufacturing Enterprise

Eliminating Sensitive Data Exposure at Scale

75TB+

Secure sensitive data across multicloud environments

Fortune 500 Industrial Manufacturer

Governing Sensitive Data at Scale

500+

Data owners enabled with automated sensitive data management

Command Your Data. Control Your AI.

Driving Value with DataAI Security across the Manufacturing Enterprises

Quick Navigation

Accelerate Safe AI Adoption

Safely harness AI across guest services, operations, and maintenance teams

  • Discover sanctioned and shadow AI across SaaS, operations, guest services, and support systems.
  • Monitor PII, PAN/PCI, booking data, and reservation data as it flows across the organization.
  • Protect DataAI interactions through controls such as sensitive data masking, data access controls, and AI Guardrails.

A manufacturing enterprise builds a custom AI knowledge agent without leaking guest data or violating PCI DSS compliance, and gives the operations team visibility into sensitive data flows.

Accelerate Safe AI Adoption

Prevent Data Exposure

Continuously find regulated manufacturing industry data and stop leaks before they become breaches

  • Automatically discover and classify PII, PCI, guest data, and booking records across multicloud, data lakes, SaaS, and collaboration tools.
  • Detect public or risky exposures caused by misconfigurations, oversharing, shadow copies, stale links, and orphaned datasets; prioritize by sensitivity.
  • Auto-remediate with policy-driven fixes (revoke links, tighten ACLs, remove external shares, expire tokens).

A manufacturing enterprise auto-detects guest payment data in a public folder; revokes access, tightens IAM, and logs PCI and GDPR evidence.

Prevent Data Exposure

Govern Data Access

Enforce least-privilege data access by correlating entitlements across manufacturing data, identities, and risks

  • Investigate operations teams, service agents, and AI models having access to sensitive data.
  • Proactively detect access activity to flag overprovisioned users, groups, and machines, then right-size access.
  • Enforce policy-driven controls (dynamic masking, row-level filtering) aligned with PCI and GDPR via built-in actions.

A manufacturing enterprise dynamically masks guest PII, so support staff only see relevant data, reducing compliance risk and audit gaps.

Govern Data Access

Automate Compliance
Controls

Ensure continuous compliance controls, intelligently test, and proactively report

  • Understand compliance requirements via a centralized control library directly mapped to multiple manufacturing frameworks like PCI DSS, GDPR, and more.
  • Streamline audits with automated compliance testing and on-demand, audit-ready reporting tailored for boards, executives, and regulators.
  • Enforce automated controls via built-in remediations across data, models & AI, to reduce compliance risk while boosting operational efficiency.

A manufacturing enterprise proves PCI and GDPR compliance readiness with continuous control testing, cutting effort from months to hours.

Automate Compliance Controls

Drive Data Minimization

Cut storage cost, reduce breach and compliance risks while maintaining AI efficacy.

  • Identify stale data, duplicates/near-duplicates, and shadow copies of sensitive manufacturing data across multicloud, data lakes, SaaS, and collaboration tools.
  • Automate archival/deletion of data like stale or duplicate guest PII, booking records, and payment data.
  • Improve AI efficacy by reducing irrelevant and outdated manufacturing operations, guest interaction, and maintenance datasets.

A manufacturing enterprise identifies PAN near-duplicates post-migration; automatically archives data to cold storage, shrinking PCI scope.

Drive Data Minimization

Enable Safe Use of Data and AI
across Manufacturing Enterprise

Securiti Ranks #1 in DSPM

Gartner Peer Insights

Customers' Choice For DSPM

Customers' Choice For DSPM

GigaOm Radar

Securiti Tops DSPM Ratings Again

Securiti Tops DSPM Ratings Again
Frost & Sullivan Names Securiti the Most Innovative DSPM Leader
Frost & Sullivan Names Securiti the
Most Innovative DSPM Leader
Learn More
Gartner Names Securiti a Cool Vendor in Data Security
Gartner Names Securiti a
Cool Vendor in Data Security
Learn More
GigaOM Leader in Data Access Governance
GigaOM Leader in
Data Access Governance
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Forrester Wave Leader in Privacy Management
Forrester Wave Leader
in Privacy Management
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Most Innovative Award' by RSA
'Most Innovative
Award'
by RSA
Learn More

Command Your Data AI Everywhere

With 1000s of pre-built integrations across hybrid multicloud and SaaS

Ready to see your DataAI Command Platform?

See a demo
Videos
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Spotlight Talks

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Data Controls for AI: Findings from the 2026 GigaOm DSPM Research
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Consent by proxy: When AI agents start deciding for us
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Future-Proofing for the Privacy Professional
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From Data to Deployment: Safeguarding Enterprise AI with Security and Governance
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Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
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Spotlight 11:18
Rewiring Real Estate Finance — How Walker & Dunlop Is Giving Its $135B Portfolio a Data-First Refresh
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Choosing the Right DSPM: An Industry Analyst’s Perspective
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Accelerating Miracles — How Sanofi is Embedding AI to Significantly Reduce Drug Development Timelines
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There’s Been a Material Shift in the Data Center of Gravity
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