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← Samsung Ballie

Samsung Ballie — agentic threat model

9.4AIVSS 9.4 · Critical

Samsung Ballie presents a high-risk profile due to its physical autonomy, integration with smart home appliances, and continuous environmental monitoring (cameras/microphones), where a compromise could lead to physical safety hazards and severe privacy violations.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.91Factor sum 5.8/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.70
Contextual Awareness
0.90
Dynamic Identity
0.20
Multi-Agent Interactions
0.40
Non-Determinism
0.60
Opacity & Reflexivity
0.70

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — likely utilizes on-device or cloud-based multimodal models for voice and visual processing. Key threats include adversarial physical inputs (e.g., tricking the camera) and voice prompt injection.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — processes highly sensitive real-time spatial data, video feeds, and user habits. Risks include local data exfiltration of camera feeds and poisoning of the home layout mapping data.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestrates physical navigation, projection, and smart home commands. Insecure tool integration could allow unauthorized control of connected home appliances (e.g., ovens, locks).

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — operates on embedded consumer hardware with wireless connectivity. Vulnerable to physical tampering, firmware modification, and local network-based privilege escalation.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — requires real-time safety guardrails to prevent physical collisions and hazardous appliance states, but logging and observability mechanisms are not publicly detailed.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — must adhere to strict consumer privacy regulations (GDPR, CCPA) due to constant video/audio recording, but specific security compliance certifications are not disclosed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — integrates with the broader SmartThings IoT ecosystem. A compromised smart device in the home could exploit trust relationships to manipulate Ballie, or vice versa.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.