Project 01 — Flagship
Psypher AI Threat Assessor
Attack the model. Audit the infrastructure. Map every finding to one standard.
Full-stack AI/ML threat assessment. MITRE ATLAS & ATT&CK for the attack surface, D3FEND for the defenses. Tests the model and the infrastructure it runs on; every finding grounded in a real graph node, no hallucinated results.
The problem
The AI-pentesting tools on the market, open source or closed, all do roughly the same thing: they throw attacks at an AI system. But they share two gaps. They don't treat the model and the infrastructure as separate surfaces, and they don't assemble what they find into a single, traceable output tied to a shared standard.
So threat mapping and auditing for AI security is still the Wild West. Findings come back as scattered one-offs, in no common language, hard to hand cleanly from one team to the next.
What Psypher does
It unifies AI-pentest threat mapping into the standard that already exists, MITRE ATLAS, connected through to the ATT&CK matrix and the vulnerability databases underneath. Everything gets piped into one signal.
And it's built for actionable visibility, not noise. It isn't here to tell you your model can be broken by three hundred thousand prompts. It's here to surface the handful of solid, mapped attacks that actually matter, in a form a team can defend against and share across an organization, and that plugs into the tools they already run.
What you get
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1
One unified threat report
The model and the infrastructure, assessed as separate surfaces, brought together into a single readable output.
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2
A kill chain mapped to MITRE ATLAS and ATT&CK
The path an attacker would actually walk, laid out step by step in the standard framework.
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3
A matching D3FEND countermeasure for every finding
Not just the attack, the defense. Each step is tied to a specific control from the MITRE D3FEND matrix.
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4
A tamper-proof evidence log
Every result traces back to the exact evidence behind it, so the report holds up.
Psypher is built around MITRE ATLAS, the standard threat framework for AI, which few, if any, pentesting tools actually use. Attack, defense, and vulnerability data live in one place: ATLAS, ATT&CK, and D3FEND, piped into a single signal.