Human-Led Security Research

Truth, balance, and accountability in security.

MAAT.is is a human-led collaboration focused on security research that protects people, systems, and trust. We document threats with evidence-first rigor and publish disclosures that remain accountable to humans.

What MAAT stands for

MAAT is the ancient concept of truth, justice, and balance. We chose it because modern security depends on measured, human accountability — not blind automation or opaque systems.

This site and its reports are human-AI collaborations with human accountability.

Why MAAT is important

Security is now inseparable from trust. When attacks target cognition, language, or decision-making systems, the only durable defense is transparent human judgment backed by hard evidence. MAAT exists to keep the line between human responsibility and machine output visible — and defensible.

Human accountability

Named humans own the analysis, the conclusions, and the decisions made from them.

Evidence-first reporting

We publish raw sources and reproducible evidence alongside every disclosure.

Trust by design

We minimize external dependencies, tracking, and opaque tooling in our public work.

Principles we operate by

Human-AI partnership

Reports are created through human-AI collaboration, with humans accountable for all conclusions and claims.

Clarity over hype

We avoid sensational claims and instead show the chain of evidence.

Responsible disclosure

We disclose with a focus on mitigation, not exploitation.

Published research

Our current work documents how a supply-chain vulnerability can shape human and AI trust simultaneously. It is a human-designed threat and requires human-centered response.

Security Disclosure: claude-flow

Remote Behavior Injection Vulnerability — Report date: 2026-01-22

Authenticity Lab

Are you human? Our Marine-protocol analyzer studies your mouse movements to detect behavioral signatures. See what your browser reveals about you and watch your "authenticity score" build in real-time.

Behavioral Biometrics Demo

Phoenix-inspired waveform analysis reveals human micro-tremors, hesitation patterns, and more.

Contact the security team

Reach us directly for coordination, disclosures, or verification requests. We respond as humans.

Response posture

Human review only. No automated remediation or AI-only replies.