qtara 0.2.0

Threat Analysis & Risk Assessment (TARA) Framework for Neural Security

qtara

Threat Analysis & Risk Assessment (TARA) framework for Neural Security.

The qtara package provides programmatic access to the TARA registry (103 techniques), NISS (Neural Impact Scoring System) calculators, physics feasibility tiers, and STIX 2.1 exporters.

Installation

pip install qtara

Features

• TARA Registry: Query 103 verified BCI threat techniques with full enrichment data.
• Physics Feasibility Tiers: Filter techniques by physics feasibility (T0: feasible now, T1: mid-term, T2: far-term, T3: no physics gate).
• NISS Scorer: Calculate neural impact scores based on physics-derived metrics.
• CVSS + Neurorights: Access CVSS 4.0 mappings and neuroright impact data per technique.
• STIX 2.1: Export threat data for industry-standard security tools.
• CLI: Instant access to threat intelligence from the terminal.

Quick Start

from qtara.core import TaraLoader

loader = TaraLoader()
loader.load()

# List all techniques
techniques = loader.list_techniques()
print(f"{len(techniques)} techniques loaded")

# Get a specific technique
t = loader.get_technique("QIF-T0001")
print(t.attack, t.severity, t.physics_feasibility.tier_label)

# Filter by physics tier
tier0 = loader.list_by_physics_tier(0)
print(f"{len(tier0)} techniques feasible now")

# Filter by severity
critical = loader.list_by_severity("critical")
print(f"{len(critical)} critical techniques")

# Get statistics
stats = loader.get_statistics()
print(stats)

CLI Usage

# List all techniques
qtara list

# Filter by physics feasibility tier (0=feasible now, 1=mid-term, 2=far-term, 3=no gate)
qtara list --tier 0

# Filter by severity
qtara list --severity critical

# Filter by neural band
qtara list --band N1

# Get detailed info for a technique
qtara info QIF-T0001

# Show statistics
qtara stats

# Export to STIX 2.1
qtara stix --output threats.json

# Get citation
qtara cite

Physics Feasibility Tiers

Each technique is classified by its physics feasibility:

Tier	Label	Timeline	Description
T0	feasible_now	now	Attack is possible with current technology
T1	mid_term	5-10 years	Requires technology advances expected within a decade
T2	far_term	10+ years	Requires fundamental breakthroughs
T3	no_physics_gate	n/a	No physics constraint (software/protocol attacks)

Development

git clone https://github.com/qinnovates/qinnovate
cd packaging/qtara
pip install -e .

License

MIT