01 AI Security Workspace

The device boundary for enterprise AI work.

Secure AI Work.Without Slowing It Down.

Neurlect controls sensitive information movement through today’s human AI workflows—at the device boundary.

Agent workflow controls are an architecture and expansion direction.

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  1. 01Workspace
  2. 02Policy
  3. 03Action
  4. 04Evidence
See the boundary in action
Architecture illustration Synthetic workspace event
  1. Workspace
  2. Policy
  3. Action
  4. Evidence
Work context Strategy-notes.docx Synthetic fixture · 28 KB
Managed workspace Local host

Prompt draft

Summarize the launch assumptions in this internal strategy note.

Strategy-notes.docx
Device boundary Policy decision
Action Protected Sensitive detail minimized before the next step
AllowedProtectedBlocked
Local evidence relationship Confirmed relationship
Exact content

Synthetic document entered the managed workspace.

Device-boundary control Privacy-minimized evidence Today’s human AI workflows Agent controls · architecture direction

02 The operating reality

AI work should move fast. Sensitive information should not move without control.

Employees use generative AI to write, analyze, and decide. Blocking access slows the work and can push it beyond the security team’s view.

Unrestricted access leaves files, prompts, and outputs crossing boundaries without a consistent control point.

Preserve the workflow.Govern the movement.

03 The Neurlect boundary

Control the boundary.
Preserve the workflow.

Neurlect places policy at the device boundary of the Neurlect-managed workspace. The workflow stays familiar while the boundary evaluates sensitive movement and applies an allowed, protected, or blocked action before the next step.

Architecture illustration · product control flow

  1. 01
    InputDocument or prompt

    Synthetic work enters a managed context.

  2. 02
    WorkspaceNeurlect-managed workspace

    The user keeps a familiar AI workflow.

  3. 03
    BoundaryDevice boundary policy

    The local host evaluates movement before the next step.

  4. 04
    ActionAllowed / Protected / Blocked

    The decision stays explicit and explainable.

  5. 05
    EvidenceLocal evidence relationship

    The ledger records only what the device can support.

04 Connected controls

One workspace. Four connected security capabilities.

01

Secure AI Workspace

A managed environment for AI work where device policy and local evidence share the same control point.

Work context
02

Device DLP

Deterministic checks at the device boundary evaluate sensitive movement without making remote classification a prerequisite for the immediate action.

Boundary decision
03

Prompt Lineage

When an exact-content relationship is confirmed, the local ledger records the connection. Otherwise, it reports relationship not established instead of inventing a link.

Exact content
04

Invisible Watermarking

For supported workspace output, a recovered marker can surface an investigation candidate. It is not proof of attribution.

Investigation candidate

05 Explainable by design

Security evidence that knows its limits.

Neurlect separates what the device confirmed from what it could not establish, and separates relationship status from evidence acquisition and ledger integrity.

The interface does not turn missing evidence into a clean bill of health.

Axis A

Relationship status

Confirmed relationship

An exact-content relationship was confirmed on the device.

Relationship not established

The product did not establish the relationship. This does not mean no relationship exists.

Axis B

Acquisition & ledger integrity

Evidence unavailable

Required comparison material was not acquired.

Ledger gap detected

A recording loss, damage, or completeness issue was detected and disclosed.

These are separate axes, not four levels of certainty.

06 People now. Agents next.

Built for today’s AI users.
Architected for tomorrow’s AI agents.

Product foundation

  • Secure AI workspace
  • Device-boundary policy enforcement
  • Local evidence foundation
  • Exact-content Prompt Lineage foundation

Architecture direction

  • Agent identity
  • Tool-use lineage
  • Approval binding
  • Agent egress controls

Agent controls are an architecture and expansion direction, not a representation of complete Agent Security functionality.

07 Privacy-minimized evidence

Evidence without building another sensitive-data repository.

Neurlect’s architecture is designed to keep detailed content references and verification material in the customer environment while exposing privacy-minimized states and event relationships to management surfaces.

Architecture principle · management-plane coverage under validation
Customer environment Detailed verification
  • Content references
  • Local ledger
  • Verification material
Minimized projection Closed states · event relationships
Management surfaces Operational evidence
  • Relationship state
  • Integrity state
  • Policy action

Management-plane coverage is being validated across requests, storage, responses, and logs. This principle is scoped to evidence architecture and is not a universal statement about all device data flows.

08 Controlled environments

Designed for enterprises where evidence has to be as disciplined as enforcement.

Neurlect is designed for regulated and sensitive environments across financial services, public sector, research, and enterprise operations.

01Device-hosted enforcement

Policy stays anchored to the customer’s device boundary.

02Customer-controlled detail

Detailed evidence remains under the customer’s control.

03Explicit uncertainty

Relationship and ledger health never collapse into one claim.

04Architecture direction

Today’s human AI workflows establish a possible foundation for future governed agent actions.

09 Private demo

See Neurlect on your AI workflow.

Request a private walkthrough of the workspace, device-boundary policy, and evidence model. We will use a synthetic workflow, not your sensitive data.

Request a Private Demo