Product capabilities

See the AI estate. Decide what can act.

Your organisation owns the controls over reachable tools, credentials, shared state, and delegated authority. 3LS brings discovery and visibility into one operating surface, then connects inventory, policy decisions, approvals, cases, and evidence.

3LS applies controls at supported browser, API gateway and managed MCP integration points. Available controls depend on the channel, inspected fields and configured policy.

Explore the platform components and evidence

From signal to response

Inventory the relationship
Product, installation, account, endpoint, provenance, confidence, and freshness.
Evaluate the action
Action class, policy version, rule, rationale, acknowledgement, or approval.
Keep the evidence
Outcome, case history, remediation, coverage state, and audit record.

Operating surface

Follow one record from discovery to response

The useful feature is not another dashboard tile. It is the connection between what was found, which policy applied, what happened next, and what an operator can prove.

01

AI and MCP Inventory

Discover observed AI products, provider accounts, MCP installations and tool revisions. Track ownership, provenance and observation freshness.

What is installed, where did it come from, and is it still active?

  • Managed and user-installed software
  • Endpoint and account associations
  • Tenant-authorised inventory exports
02

AI Gateway Controls

Apply policy to approved providers, models and tool groups. Inspect selected text and control usage on supported traffic routed through the gateway. Configure approved provider accounts, model routes and tool groups for governed requests.

Which models and tools are permitted for this governed request?

  • Request-rate controls and monthly usage thresholds
  • Monthly threshold enforcement is eventual, not instantaneous
  • Activity and cost reporting
03

Policy and Approvals

Validate and publish signed policies, track their application, and manage scoped exceptions with approval and expiry. Request and approve case-linked exceptions with defined scope and expiry.

Which policy made this decision, who changed it, and where is it active?

  • Separate author, publisher, and responder roles
  • Versioned validation, endpoint acknowledgement and rollback
  • Role-based permissions for exception requests and approvals
04

Risk and Response

Prioritise findings, assign case owners and retain evidence of remediation. Inventory findings include a versioned 0–100 risk score. Review the finding and its evidence, record actions and retain remediation evidence.

Which exposure needs attention now, and what proof closes it?

  • Explainable severity and risk factors
  • Issue and incident timelines with recorded ownership
  • Recurrence, dismissal reasons and remediation evidence
05

Governance Evidence

Review attributable policy decisions, activity and case history. Export observed inventory for governance and assurance reviews. Central inventory and audit records use bounded metadata, argument hashes, redacted fields and tenant-scoped identifiers. Raw prompts, secrets, or local transcripts are not collected into those records by default.

What evidence supports this decision and who may access it?

  • Tenant-authorised inventory exports
  • Bounded evidence and redacted audit fields
  • Enterprise console for inventory, devices, activity, coverage, applied configuration, cases, policy and audit records

Controls by channel

Gateway / API

Apply provider, model, tool and selected-text policies to supported requests routed through the gateway. OpenAI and Anthropic API traffic can use the governed route; direct provider or backend access requires separate controls.

Managed MCP

Check original tool arguments before backend dispatch and inspect returned results before delivery. On supported managed MCP stdio paths, typed action classification identifies read, write, delete, admin, execute, or unknown operations and supports grant or deny before downstream, with journalled outcomes and at-most-once handling. Result denial cannot undo an effect already executed.

Browser

Inspect selected prompt text on supported ChatGPT and Claude browser sites. Conversation-history inspection depends on policy. Upload controls use file metadata, not file contents. Available controls depend on the channel, inspected fields and configured policy. Browser delivery and enrollment need to be agreed for the deployment.

Sensitive-data and prompt-risk detectors inspect supported observable channels for PII, PHI, financial data, credentials and secrets, and infrastructure patterns. Prompt classification and jailbreak, role-override and policy-evasion signals support review. Detector evidence does not certify compliance or explain a vendor model’s learned reasoning.

Integrations

Keep the security workflow you already run

3LS evidence does not have to end in a separate queue. Connect it to the systems your SOC, governance team, and service owners already use.

Enterprise integration requirements. Named connector compatibility, deployment and connector availability must be confirmed during solution design.

Explore enterprise security integrations
SIEM

Splunk, QRadar, and Microsoft Sentinel

Put findings and audit evidence beside the rest of the security estate.

SOAR

Phantom and Demisto

Carry 3LS events into existing triage and response playbooks.

Ticketing

ServiceNow and Jira

Route ownership, remediation, and follow-up through established queues.

Extensibility

APIs and webhooks

Connect inventory, evidence, and response data to internal workflows.

Bring one real workflow

We will map the endpoint, AI or MCP association, policy decision, approval path, evidence, and integration handoff with your team.

See the product walkthrough