OBSERVATORY / SOURCE INTELLIGENCE

L2ET Research Guide.

Additional page sections

Routes visitors to relevant L2ET research tracks, tools, frameworks and artifacts based on role and intent.

Version 1.7 Released Protected engine Research route recommendation
PURPOSE

Decision supported.

Routes visitors to relevant L2ET research tracks, tools, frameworks and artifacts based on role and intent.

Intended user

research, assurance and technical review teams

Output status

Preliminary outputHuman review requiredNot certification
USE CASES

Where this instrument fits.

  • Route new visitors
  • Suggest first tools and frameworks
  • Prepare collaboration or contact path
  • Reduce navigation friction across domains
INPUTS

Required input fields.

  • Who are you? (required): CISO/security leader, CAIO/AI governance leader, Researcher, Enterprise architect, ...
  • Primary interest (required): AI assurance, Cyber/DFIR, Quantum-safe/PQC, Frontier physics, ...
  • Desired output (required): Tool to use, Framework to read, Brief/signals, Contact route

Data handling: this interface uses the L2ET protected same-origin instrument engine. Do not enter confidential, regulated, privileged, incident, medical or sensitive operational data.

METHOD

Decision Tree logic.

Uses role, research interest and desired output to select tracks, tools, frameworks and public artifacts.

Source families

site taxonomyresearch navigation

Assumptions

  • Recommendations are deterministic and high-level.
  • Human context may require a different route.
  • It does not personalize based on hidden tracking.
INTERACTIVE INSTRUMENT

Research route recommendation.

Use the controls below to generate a preliminary artifact. The output is intentionally bounded and requires human review.

OUTPUT ARTIFACT

Research route recommendation.

The generated artifact includes findings, assumptions, limitations, recommended next actions and exportable structured output.

Export options

Copy outputMarkdownJSON
EXAMPLE

Example input and output.

Example input

CAIO interested in AI assurance and tools.

Example output

Outputs recommended start path: Assurance Radar, AI Governance Evidence Mapper, Agentic/RAG methodology and contact route.

LIMITATIONS

What this tool does not do.

  • Not a chatbot.
  • Does not infer identity.
  • Does not replace direct contact for complex needs.

This instrument does not provide legal, medical, cryptographic, engineering, regulatory or compliance certification.

RELATED METHOD

Method and workflow links.

Read the family method note for assumptions, output artifacts, update policy and review boundaries.

Open methodology Open family

CHANGELOG

Version history.

  • v1.7 - Research-grade instrument template, method notes, assumptions, limitations, example and export actions added.
  • Last updated: 2026-05-27.
  • Maturity state: Released.