AI-Based Content Classification & Policy Automation in FileOrbis

FileOrbis unifies labels, autotagging, and AI classification into
automated security policies across your file infrastructure.

Three-Layer Data Classification
Combine existing enterprise tags, custom
regex patterns, and deep
AI semantic context into a
unified model.
IFTTT-Style Policy Automation
Convert classification
triggers into immediate
actions like file blocking,
dynamic masking, or
approval routes.
Automatic HSM-Backed Protection
Encrypt highly sensitive
corporate documents
natively on-premises using
keys securely managed
within your HSM.


Three-Layer Classification
Unify file tags.


Semantic Intelligence
Understand document meaning.


IFTTT Automation
Trigger security actions.


Continuous Audit
Log posture lifecycle.

Why Single-Method Classification Leaves Gaps

The Challenge of Patternless Sensitive Data

  • Traditional discovery tools fail to govern
    meaning-based content without clear
    sensitive-data patterns. Forcing enterprises to
    replace existing classification systems also
    creates redundant work and complex
    migrations.

Three-Layer Model and Unified Policy Engine

  • FileOrbis unifies authoritative labels, regexbased pattern matching, and semantic AI
    context into a single model. It reads external
    tags, applies rules, and adds region-aware
    semantic layers to automate policy decisions
    across your file estate.

Trusted by Content-Critical Businesses Worldwide

Key Benefits

Zero-Gap Data Security

Close the protection gaps
left by single-method
discovery tools by
combining authoritative
external tags, precise
pattern matches, and
deep semantic AI
understanding into a
single model.

Preserve Existing Governance Investments

Keep the full value of your
previous compliance
efforts by reading and
honoring sensitivity labels
from Titus, Boldon James,
and Microsoft Purview
without forcing any
complex data migration
or re-labeling.

Context-Aware Regional Compliance

Ensure your sensitive
corporate files are
classified appropriately
for the jurisdiction they
belong to with an AI
model featuring built-in
regional awareness for
the US, EU, KSA, UAE, and
Turkey.

Automated Regulatory Enforcement

Automatically match
every policy decision to
strict regulatory
frameworks like GDPR,
HIPAA, PCI-DSS, KVKK, and
DORA using an IFTTT
engine that logs every file
action in an immutable
audit trail.

Core Capabilities


Existing Enterprise Labels

Reads and honors classifications already applied by Titus, Boldon James, and Microsoft Purview, treating them as authoritative policy inputs
without requiring relabeling or data migration.


FileOrbis Autotag

Employs built-in pattern libraries and custom regular expressions to precisely detect known identifiers like credit cards with Luhn validation, IBANs, national IDs, and medical codes.


AI-Based Classification

Generates a two-tier semantic label (e.g., Health
> Blood test) that understands document meaning without regex strings, featuring built-in regional awareness for the US, EU, KSA, UAE, and Turkey

Automated Policy Operations

External Sharing

Control, restrict, or completely block file
sharing outside the organization based
on the applied classification label.

Internal Sharing

Strictly govern which users and groups
inside the corporate network are
authorized to receive specific
documents.

Authorization

Automatically grant or restrict live
file access permissions by
evaluating the file s label alongside
user identity.

Lifecycle Management

Seamlessly execute precise corporate
retention, mandatory review dates, and
disposition schedules driven by
classification tags.

Download Governance

Allow, restrict, or enforce visible
watermarks on downloaded local files
based on their specific classification
tier.

Automatic HSM Encryption

Encrypt matching sensitive content
automatically using dedicated
cryptographic keys securely held
within your enterprise HSM.

Industry Use Cases

Banking & Financial Services

Scenario: Automatically detect
check images or banking
documents using region-aware
semantic AI, mask sensitive fields,
and route them through
automated approval workflows.

Healthcare & Life Sciences

Scenario: Identify patient blood
tests or medical reports that
contain no explicit regex patterns,
apply persistent HSM-backed
encryption, and completely block
external sharing.

Government & Regulated Sectors

Scenario: Layer existing security
tags from Titus or Purview with
FileOrbis Autotag to log every
single file action into an immutable
audit trail mapped directly to GDPR,
KVKK, and DORA.

Hear From Our Customers

“FileOrbis gave us a single pane of glass across on-prem and cloud content. We reduced over-permissioned access fast and finally had audit-ready visibility.”

Security & Risk Lead, Enterprise Organization

“External sharing used to be our biggest leak point. With content-aware policies and full traceability, we enabled collaboration without losing control.”

IT Manager, Regulated Industry

“We consolidated multiple tools into one governed platform. Users got faster access, and our compliance reporting became dramatically simpler.”

Head of Infrastructure, Global Company

Ready to Automate Security Actions
with Three-Layer Classification

Why leave your meaning based sensitive data completely ungoverned? Turn existing tags, regex patterns, and semantic AI labels into automated,
IFTTT-style protection across your entire infrastructure.

Frequently Asked Questions

How can we help you?

FileOrbis reads a file’s content and assigns a two-tier semantic label—a primary category and a sub-category, such as Health > Blood test or Financial > Cheque—even when no sensitive-data pattern is present. It works alongside existing labels (Titus, Boldon James, Microsoft Purview) and FileOrbis Autotag, and is region-aware for the US, EU, KSA, UAE, and Turkey.

Yes. AI-based classification understands the meaning of the content rather than relying on regex or pattern matches, so it can label a document that is clearly sensitive in context but matches no pattern—assigning a two-tier category and sub-category that policy can act on.

Yes. FileOrbis reads and honors labels already applied by Titus, Boldon James, and Microsoft Purview / MIP, treating them as authoritative inputs to policy—so existing classification investments are preserved without re-labeling or migration.

In FileOrbis, any label becomes a trigger in an IFTTT-style policy engine. You define what happens when a label is matched—across external and internal sharing, authorization, lifecycle management, download, and automatic HSM encryption—and insert actions such as approval, masking, blocking, alerting, and encryption. Every action is recorded in an immutable audit trail.

Autotag classifies from policy, pattern, and regex rules (predefined and custom)—precise for known identifiers like IBANs or national IDs. AI-based classification understands content semantically, producing a two-tier, region-aware label even when no pattern exists. The two work together, alongside any existing Titus, Boldon James, or Purview labels.

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