Versioned
Each paper carries a version and publication date so later changes can be compared.
For IT and security teams
Technical methods you can review.
Long-form papers explaining how Argus approaches exposure, assessment authorization, scoring, AI-connected systems, remediation, and verification. Each paper states its assumptions, limits, and references.
Continuous exposure management as an evidence system
A reference architecture for stable asset identity, normalized findings, attack paths, threat context, remediation, and verification.
Read whitepaperAuthorization-first assessment and the Argus Ready score
A transparent methodology for scope, evidence quality, five assessment dimensions, critical-finding penalties, reporting, and retest.
Read whitepaperGoverning the AI-era attack surface
A control architecture for AI inventories, data boundaries, tool-enabled agents, write gates, provenance, evaluation, and incident response.
Read whitepaperPublication standard
Show the method behind the conclusion.
These papers document design choices and calculation rules so architecture, governance, and security teams can evaluate the assumptions behind an Argus result.
Referenced
External claims link to primary standards, government guidance, or original research.
Limited
Assumptions, exclusions, and uncertainty are stated with the method.
Actionable
Control objectives, metrics, and staged adoption are described for technical owners.