MoyoMap // Methodology
How it works
MoyoMap does not break into systems. It assembles what is already public — the way an adversary's models would — then shows which combinations produce sensitive conclusions, with confidence and sensitivity scores.
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Step 01
Authorize & scope
You name the organization and domain, and consent to an outside-in public-source analysis. No agents. No credentials.
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Step 02
Collect signals
Hiring posts, patents, filings, vendor announcements, employee profiles, technical documents, and other open sources.
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Step 03
Synthesize
Models attempt inference chains toward sensitive conclusions. We measure distance, reliability, and reproducibility.
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Step 04
Deliver & mitigate
You receive findings with basis chains and a playbook: reword, retime, redact, or restructure disclosures.
Depth
Outside-in first, white-box only when authorized
Free snapshots and Basis Reports use public sources only. White-box reachability assessments instrument internal RAG and LLM workflows and always require written authorization. See white-box engagements. For the conceptual background, see Sensitive Information Reachability on the SenTeGuard blog.
What you do not get
- · No exploit kits or breach simulation theater
- · No unsupervised scanning of private systems
- · No “hacker aesthetic” report that confuses risk with spectacle
Research
Related research
Longer conceptual pieces on information reachability and related idea-security work are published on the SenTeGuard blog (company research site—not this product domain).
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senteguard.com/blog
Sensitive Information Reachability: The Problem and the Solution
Core introduction to information reachability and the Moyo framing—what can be inferred from public crumbs, and how to measure it.
Open article → -
senteguard.com/blog
Defining the Limits of LLM-Reachable Intelligence with Gödelian Incompleteness
Theoretical boundaries on what models can reliably reach—useful when scoping confidence and residual risk in assessments.
Open article → -
senteguard.com/blog
The Emerging Threat of Idea Leakage
Semantic exposure without explicit disclosure—why traditional DLP misses combinatorial and proximity-based leaks.
Open article →