AI controls

Decide with evidence. Enforce only on managed paths.

Your organisation owns the controls over reachable tools, credentials, shared state, and delegated authority. 3LS provides discovery, classification, policy evaluation, and evidence across broader AI use. On supported managed MCP stdio paths, typed action classification supports a grant or deny before downstream, with journalled outcomes and at-most-once handling.

SD-1 / AI controls Detect Classify Evaluate Observed Classified Review Managed deny Evidence In policy Review Policy issue Evidence retained for the policy decision
SD-1: Capability-specific hero separating broad policy evaluation from denial on a supported managed path. 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

A legitimate goal does not authorise every action.

The useful test is whether this action, by this user or process, on this route, is allowed by organisational policy. Enforcement remains limited to supported managed MCP stdio paths.

Phase 1

Activity is discovered

3LS brings broad AI use into view and classifies the available evidence.

Phase 2

Policy is evaluated

Teams can weigh business purpose, sensitivity, and risk to produce an explainable policy evaluation.

Phase 3

Managed calls are decided

On supported managed MCP stdio paths, typed action classification supports a grant or deny before downstream.

Phase 4

The outcome is journalled

Operators get journalled outcomes and at-most-once handling for the supported managed operation path.

SD-2 / Detect, classify, evaluate Detect Classify Evaluate Activity Analysis Policy result Evidence In policy Review Policy issue Evidence retained for the policy decision
SD-2: Three-step visual showing observed activity, analysis, then policy evaluation 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

Discover

Bring AI use into view

Map the tools and workflows people use, then retain the evidence operators need.

Outcome: Clearer operating surface

Evaluate

Apply organisational policy

Classify activity and evaluate business purpose, sensitivity, and risk with the available context.

Outcome: Explainable policy decisions

Managed MCP

Enforce the supported path

Grant or deny managed MCP stdio operations before downstream and keep a journalled result.

Outcome: Bounded enforcement evidence

From the blog

Control Patterns and Failure Modes

Research on managed-path decisions, approval fatigue, containment limits, and tool-level policy.