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Overlap AI — agentic threat model

7.3AIVSS 7.3 · High

Overlap AI presents a moderate risk profile primarily centered on data privacy and indirect prompt injection, as it processes enterprise-scale video libraries using undisclosed foundation models without explicit security or sandboxing guarantees.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.8Factor sum 2.3/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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 — The specific LLMs or multimodal models used for video understanding and content generation are not disclosed. Potential threats include indirect prompt injection via video transcripts/audio, and model reprogramming.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The architecture for storing video files, transcripts, and vector embeddings for search is unspecified. Risks include data exfiltration of proprietary enterprise videos and embedding inversion.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework for clipping, tagging, and summarizing is unknown. Insecure tool integration for video processing pipelines could lead to remote code execution if processing untrusted video codecs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — No details on hosting, sandboxing of video processing, or secrets management. Compromise of the video ingestion pipeline could lead to container escape or lateral movement.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No mention of guardrails, drift detection, or output validation for generated blog posts and summaries, leaving a risk of undetected hallucinations or toxic content generation.

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

Not certain from the listing — Enterprise-scale video analysis is mentioned, but specific compliance certifications (e.g., SOC2, GDPR) or access control mechanisms (RBAC) are not detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent operates as a standalone horizontal tool without explicit multi-agent or marketplace integrations, minimizing ecosystem-level cascading failure risks.

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