Runtime AI governance before prompts, uploads, OAuth grants, and delegated tool actions.

See how AI is being used. Control it before it leaves.

3LS Platform gives teams company policy, control, and observability for users, assistants, and agentic workflows before sensitive data or delegated authority leaves through prompts, uploads, OAuth grants, or delegated tool actions.

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Observe
AI use
Detect
Sensitive content
Decide
Controls
Security analyst reviews prompt, upload, OAuth, and tool activity at a company boundary before a warning decision is issued.
Controlled PL-1 composite: prompt, file, OAuth, and tool activity converge at a runtime policy boundary with allow, warn, and block controls.
Mechanism:
On-device agent intercepts AI activity before it leaves the endpoint.
Privacy:
Detections and policy decisions stay within your organization.

Understand AI use

See how employees, assistants, and agentic tools are actually using AI.

Detect sensitive content

Spot PII, secrets, and risky interactions before a prompt is sent, a file is uploaded, or an agent delegates work to a tool.

Apply controls

Choose when to allow, warn, or block and give teams evidence for every decision.

How it works

Move from vague AI risk to visible, understandable decisions.

Instead of treating AI as a black box, 3LS helps teams understand how AI is being used, where sensitive data is involved, and when controls should step in.

Phase 1

AI boundary decision appears

A user, assistant, OAuth app, or tool is about to send company context outside the organization.

Phase 2

Intent is understood

3LS classifies what the interaction is for and how the AI is being used.

Phase 3

Sensitivity is detected

Sensitive content and risky behavior are surfaced before the interaction becomes an incident.

Phase 4

Controls are applied

Teams can allow, warn, or block based on context, risk, and policy.

What the story answers

Three questions every security team needs answered

Prompt classification answers how your users are using AI. Sensitive-content detection answers what information is present. Controls answer what should happen next.

Prompt classification

How are your users using AI?

Classify drafting, coding, research, data handling, and tool-driven behavior into clear operating patterns.

Outcome: Visibility into AI usage

PII detection

What sensitive data is present?

Highlight personal information, secrets, and restricted content inside prompts, tool inputs, and outputs.

Outcome: Fewer accidental exposures

Controls

What should happen now?

Apply allow, warn, or block decisions that match the interaction, the sensitivity, and the business context.

Outcome: Consistent outcomes

Operator view

Turn AI interactions into clear decisions

Give security teams a readable trail of what was detected, what it meant, and what action was taken.

Operator evidence view highlights PII in a customer CSV upload and records a warning decision with policy rationale.

Recent findings

Intent, sensitivity, and control outcomes

3 decisions captured
Activity
Intent
Sensitivity
Action
Customer records pasted into an assistant
Data handling
PII detected
Warn
Prompt requests external tool access
Tool use
No sensitive data
Allow
Prompt includes an API token and a request to share it
Data sharing
Secret detected
Block

Solutions

Go deeper on the capabilities behind the story.

Start with one visual story on the homepage, then explore the capabilities that help teams understand AI use, detect sensitive data, and apply the right controls.

SD-3 / Classify Detect Classify Control Intent Lanes Evidence Allow Warn Block Evidence retained before the boundary
SD-3: Square thumbnail with capability card, evidence chip, event arrow, and prompt classification symbol. Production metadata: 3ls-sd-3-solutions-prompt-card-diagram.svg; SVG square master rendered in fixed card aspect ratio; crop-safe to 1200x630 for future social thumbnails.; task-1093-inline-svg-master

Prompt classification

Understand how your users are using AI

See whether AI is being used for drafting, coding, research, summarization, data handling, or tool-driven work.

Explore capability
SD-3 / Detect Detect Classify Control PII Secrets Warn Allow Warn Block Evidence retained before the boundary
SD-3: Square thumbnail with sensitive-data card, highlighted entity chip, event arrow, and evidence symbol. Production metadata: 3ls-sd-3-solutions-pii-card-diagram.svg; SVG square master rendered in fixed card aspect ratio; crop-safe to 1200x630 for future social thumbnails.; task-1093-inline-svg-master

PII detection

Spot sensitive data before it spreads

Surface personal information, credentials, and restricted content inside prompts, tool inputs, and outputs.

Explore capability
SD-3 / Control Detect Classify Control Allow Warn Block Allow Warn Block Evidence retained before the boundary
SD-3: Square thumbnail with decision rails, capability symbol, event arrow, and evidence chip. Production metadata: 3ls-sd-3-solutions-controls-card-diagram.svg; SVG square master rendered in fixed card aspect ratio; crop-safe to 1200x630 for future social thumbnails.; task-1093-inline-svg-master

AI controls

Choose the right action for each interaction

Apply allow, warn, and block decisions based on context so teams can guide AI use without slowing everyone down.

Explore capability
SD-2 / Detect, classify, control Detect Classify Control Action Analysis Decision Evidence Allow Warn Block Evidence retained before the boundary
SD-2: Three-step visual showing user action, analysis, then policy decision and evidence. Production metadata: 3ls-sd-2-solutions-policy-flow-diagram.svg; SVG master rendered fluidly with explicit 1600x900 dimensions; usable as 16:9 desktop panel and full-width mobile diagram.; task-1093-inline-svg-master

Compliance evidence

Prove AI governance before the review

Collect runtime evidence for prompts, uploads, OAuth grants, tool actions, supplier exposure, and high-risk AI decisions.

Explore capability

From the blog

Start With the Research

A few articles that explain the operating model behind the product: where AI use becomes visible, why incidents expand, and how control decisions should be made.

Understand AI behavior before it becomes an incident.

Start with visibility, move to clear findings, and introduce controls only where they matter.

See the walkthrough Talk to security experts