Data Sprawl
Regulated data does not stay at the source. It spreads across laptops, assistants, shared folders, and exports.
DetectionControls
Your regulated data left the system of record a long time ago.
Indora finds it on the endpoint, classifies it in context, locks it down, and logs every decision with its policy basis.
Status: backed by Techstars
On-device classificationContext-aware policyingAudit-ready telemetry
Arbiter monitor activeMonitoring
Endpoint activityLocal files remain on device
PDF/Downloads/STAR-TechSpec-v4.pdf
[SYSTEM-INGEST/001]Watching endpoint file activity in real time
[GOVERNOR]No regulated context detected yet
[ACTION]No enforcement required
Inspection progress34%
!
Continuous endpoint visibility
Files are classified in context without sending inspected content to the cloud.
What security gains
See the copy. Understand the obligation. Enforce before exposure.
The control follows regulated data onto the endpoint instead of stopping at the system of record.The Problem
Regulated data does not stay where you put it
AI did not create the disease. It removed the friction. Indora makes the spread visible again.
Persistent Obligation
Every copy on every endpoint carries the same policy obligation as the system of record.
Asymmetric Defense
Your strongest controls live at the store. The exposure happens at the edge, where AI now works.
System of recordRegulated case file
CJIS incident narrative · witness info · victim data
⌾Controlled at source
Live propagation model5 unmanaged copies detected
SoR
DownloadsLocal copy!
AI assistantNew read path!
Shared folderPersistent copy!
NotesUnstructured data!
Email draftOutbound exposure!
01→06Copies in under 4 seconds
A new inspection layer
AI didn't create this. It removed the friction.
01
Effortless duplication
A natural-language prompt replaces the old manual workflow. Copying becomes invisible.
02
Folder-wide sweep
Local assistants can ingest entire directories, summaries, narratives, and reports in one pass.
03
New read paths
Every consumer AI tool and local model creates another path to regulated data you do not control.
Tactical risk reportAudit failures
For most companies this is a risk. For you it's a finding.
In defense and public safety, the copy sitting in someone's Downloads folder is not a hygiene issue. It's an audit failure, a reportable incident, or a contract problem. CJIS obligation follows the data — the controls at the store do not.
The obligation follows the data. The controls do not.
The Product
Meet Indora Arbiter
One layer that finds regulated data, classifies it, puts it out of reach, and proves it.
01
Find it where it lives
Endpoint-resident, unstructured, and semi-structured files are where the risk actually appears. Arbiter starts there.
02
Classify in context
A nine-digit number is not the signal. Arbiter reads surrounding context so policy lines up to the real document type.
03
Lock it down
Quarantine, mask, or block by policy so the file stays out of AI context when it should.
04
Prove it
Each detection, transform, and decision is logged with policy basis so your audit spine survives the endpoint.
Context engine
Reads the document, not just the pattern.
Arbiter classifies using narrative context so a hit becomes a policy decision, not just a regex match.
Context fragmentsStreaming
01incident narrative02victim DOB03case disposition04officer remarks
ArbiterContext resolved
CJISHIPAAPIIITAREvidence01Detected regimeCJIS contextual match
02Policy actionMask + quarantine
03EvidenceEmit audit trail
Operational proof
More signal. Less storytelling.
Watch context analysis, policy action, transformation, and the evidence trail happen as one continuous operation.
Visual proofPolicy enforcement in motion
Live transformation
↔
PIICJISDOBADDRESSContext confidence98.7%
PolicyCJIS-EDGE-04
ActionMASK + LOCK
Original endpoint copy Governed AI-safe output
Audit evidenceEvery decision has a record
10:31:08.102Classify
Document fingerprint indicates CJIS contextual match.
10:31:08.447Mask
Detected PII fields transformed before downstream use.
10:31:09.011Contain
Quarantine action applied to the local copy in Downloads.
10:31:10.284Emit
Standardized telemetry exported to the organization SIEM.
Why it's different
Security designed for actual workflows
Built for environments where the endpoint matters, the model cannot be trusted by default, and evidence is non-negotiable.
01Signal stable
On-device inference
Nothing inspected leaves the endpoint. Safe for air-gapped or high-assurance environments.
02Signal stable
Context before pattern
Classification comes from document semantics first, not brittle string matching alone.
03Signal stable
Masking, not just blocking
When the task can proceed safely, Arbiter transforms or tokenizes instead of simply saying no.
04Signal stable
Additive framework
Arbiter emits standardized telemetry so it complements your SIEM, IR, and compliance workflow.
Tactical pipeline
Arbiter execution sequence
Follow a live signal through classification, policy resolution, enforcement, and audit evidence.
◆
01Active
ClassificationIngests unstructured files local or air-gapped
Content mapped
02Active
PoliciesValidates against MIL-SPEC / CJIS policy
Policy matched
03Active
EnforcementQuarantines or masks PII at the edge instantly
Exposure contained
04Active
Audit LogStandardized telemetry securely logged to SIEM
Evidence verified
Arbiter cycle completePolicy enforced in 184ms
Prevent sprawl at the edge
See it run on your own machine
Schedule a targeted tactical walkthrough. We will demonstrate live endpoint classification, context resolution, on-device policy controls, and audit trails reporting.
Request a demo