AI controls

Apply the right action at the right time.

AI controls are pre-boundary enforcement for the final question in the flow: What should happen now? Teams can allow, warn, or block by default, and allow, warn, block, or review when policy requires escalation before a prompt, upload, or tool action crosses policy.

SD-1 / AI controls Detect Classify Control Allow Warn Block Review Evidence Allow Warn Block Evidence retained before the boundary
SD-1: Capability-specific hero showing allow, warn, block, and review rails with rationale. Production metadata: 3ls-sd-1-solutions-ai-controls-composite.svg; SVG master rendered fluidly with explicit 1600x1200 dimensions; crop-safe for 4:3 and stacked mobile hero placement.; task-1093-inline-svg-master

What should happen now?

Controls turn visibility into action so teams can keep low-risk work moving, intervene before sensitive context leaves, and stop interactions that do not fit policy.

Phase 1

Activity is understood

3LS sees what the interaction is for and whether sensitive content is involved.

Phase 2

Context is considered

Teams can weigh business purpose, sensitivity, and risk before deciding what should happen next.

Phase 3

A control is chosen

Allow, warn, or block based on the interaction instead of applying the same response to everything.

Phase 4

The decision is visible

Operators can see what action was taken and why.

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

Allow

Keep safe work moving

Routine drafting, coding, and research can continue when the interaction fits expected usage and does not carry sensitive risk.

Outcome: Less friction for normal work

Warn

Slow down interactions that deserve a second look

When intent or sensitivity raises concern, teams can introduce a warning and guide people toward safer handling.

Outcome: Better operator judgment

Block

Stop interactions that cross the line

Prevent sharing or processing that does not fit organizational guardrails, and leave a clear record of the decision.

Outcome: Consistent control outcomes

From the blog

Control Patterns and Failure Modes

Research on the moments where AI control actually matters: enforcement, approval fatigue, containment, and tool-level policy.