ALPHA VECTOR TECH
ABN 50 353 196 500

Replacing speculationwith forensic certainty.

You assume it's a glitch. We prove it's a feature.

INTEL.ARCHIVEPRIMARY RESEARCH PAPERS
DOSSIER 01

AVT-MRV•01

Q4 2025Forensic Liability Intelligence • Class-L

Deployment Readiness

Executive Ready

The Mens Rea Vector

AI-Driven Epistemic Analysis for Quantifying Executive Liability

Corporate software failures can no longer shield executives behind claims of ignorance. The Mens Rea Vector establishes a mathematically rigorous forensic methodology that reconstructs organizational knowledge states from digital artifacts, proving executive culpability with prima facie certainty. By combining Judea Pearl's causal inference framework with Tree of Thoughts analysis of development artifacts and Graph of Thoughts aggregation of organizational patterns, this methodology transforms git commits, pull requests, and communications into dispositive evidence of fiduciary breach.

Release Window
Q4 2025
Methodology Stamp
AVT-MRV•01
Deployment Readiness
Executive Ready
DOSSIER 02

AVT-BYZ•02

Q4 2025Systemic Risk Doctrine • Class-R

Board Docket

Board Circulation

The Byzantine Calculus

Quantifying Distributed Ledger Security as Enterprise Financial Risk

Distributed ledger technology security must transition from cryptographic theory to quantifiable financial metrics. North Korean state actors have stolen $6 billion since 2017, with $2 billion extracted in 2025 alone, demonstrating that theoretical Byzantine fault tolerance provides insufficient protection against sophisticated adversaries. This framework translates consensus-layer security into board-comprehensible risk metrics, establishes fiduciary duties for oversight, and quantifies systemic contagion across interconnected DLT infrastructure using mathematical models validated in traditional financial networks.

Release Window
Q4 2025
Methodology Stamp
AVT-BYZ•02
Board Docket
Board Circulation
DOSSIER 03

AVT-SNG•03

Q4 2025Causal Governance Protocol • Class-G

Regulatory Briefing

Regulatory Liaison

The Sangedha Framework

A Causal Forensics Protocol for Algorithmic Negligence Attribution

This methodology addresses the attribution of corporate liability when automated systems cause consumer harm. Applicable to regulatory submissions involving algorithmic conduct failures, platform integrity issues, and automated decision-making disputes. The framework enables mathematically rigorous causal attribution of algorithmic failures to specific governance breakdowns, supporting evidentiary standards for expert testimony under FRE 702 and Daubert criteria.

Release Window
Q4 2025
Methodology Stamp
AVT-SNG•03
Regulatory Briefing
Regulatory Liaison
DOSSIER 04

AVT-RIB•01

December 2025Regulatory Intelligence Brief • AVT-RIB-2025-001

Distribution

Public

Australian Algorithmic Accountability

AVT-RIB-2025-001: The Enforcement Horizon

Regulatory intelligence brief mapping the convergence of ASIC CP 386, Privacy Act ADM reforms, and ACCC Digital Platform Services Inquiry on a 2026 enforcement horizon. Includes liability exposure matrix, compliance gap analysis, and Board-level governance questions. Contextualizes ACCC v Qantas Airways Ltd [2024] ($100M) and Tomasso v IG Markets Ltd [2025] WASC 338 ($5.5M) precedent.

Release Window
December 2025
Methodology Stamp
AVT-RIB•01
Distribution
Public
DOSSIER 05

AVT-QGF•01

Q1 2026Theoretical Physics Compliance • Class-Q

Academic Scrutiny

Peer Review

Quantum Gravity Forensics

Liability at the Planck Scale: Attributing Single-Event Upsets to Negligence

As computational substrates approach atomic limits, bit-flips induced by cosmic rays introduce non-deterministic errors. The Planck-Scale Liability Model (PSLM) distinguishes 'Force Majeure' form architectural negligence, calculating the statistical probability that a hardware failure was a foreseeable consequence of inadequate radiation hardening.

Release Window
Q1 2026
Methodology Stamp
AVT-QGF•01
Academic Scrutiny
Peer Review
CAPABILITIES

Technical Analysis for Complex Disputes

We provide forensic analysis and expert reports for legal matters involving automated decision-making systems, platform integrity failures, and algorithmic conduct assessments.

  • Regulatory submission support (ASIC, ACCC, international agencies)
  • Daubert/FRE 702 methodology design
  • Git forensics and development artifact analysis
  • Corporate liability attribution frameworks
ENTITY
Alpha Vector Tech
ABN 50 353 196 500
FOCUS
Algorithmic Forensics
STANDARDS
Daubert/FRE 702
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