Methodology

Our methodology is designed to reduce uncertainty in complex digital information environments. We combine structured open-source intelligence (OSINT) practices with AI-assisted analysis and human review to surface relevant signals, patterns, and context from publicly available data.

Scope of Analysis

All analysis is conducted using publicly available information. We do not access private systems, closed databases, or non-public data.

Source Collection

We identify and collect relevant open-source data across web, social, media, and publicly accessible platforms, prioritizing relevance, provenance, and context over volume.

AI-Assisted Pattern Analysis

AI tools are used to assist in identifying patterns, anomalies, amplification behaviors, and narrative shifts at scale. These tools support analysis but do not operate autonomously.

Human-in-the-Loop Review

All findings are reviewed by analysts to validate context, reduce false positives, and assess relevance. Judgment and interpretation remain human-led.

Reporting & Interpretation

Outputs are delivered as structured insights, not raw data feeds. Reports emphasize context, limitations, and confidence levels rather than definitive conclusions.

What This Is Not

This methodology is not surveillance, enforcement, or attribution. It does not provide guarantees or predictive certainty.