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VectorShift — agentic threat model

9.5AIVSS 9.5 · Critical

VectorShift is a powerful no-code agent orchestration platform that introduces significant risk due to its ability to deploy autonomous workflows with custom tool integrations across business systems. Without explicit sandboxing or built-in guardrails detailed in the listing, the platform's open-ended integration capabilities present a high surface area for prompt injection and unauthorized tool execution.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.99Factor sum 6.3/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.80
Self-Modification
0.30
Dynamic Tool Use
0.80
Persistent Memory
0.60
Contextual Awareness
0.70
Dynamic Identity
0.30
Multi-Agent Interactions
0.60
Non-Determinism
0.80
Opacity & Reflexivity
0.60

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✓ mapped

Integrates with external foundation models (OpenAI, Anthropic, Huggingface). Primary threats include prompt injection, model misalignment, and dependency on third-party API security boundaries.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — while the platform supports custom pipeline connections and likely handles RAG or vector stores, specific data security, embedding inversion protections, or data lineage controls are not detailed.

L3 · Agent Frameworks✓ mapped

Orchestrates workflows via a drag-and-drop interface. Vulnerable to insecure tool integration, where malicious inputs can hijack the logical flow of the agent to execute unauthorized actions via custom pipeline connections.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — the hosting environment, sandboxing of custom pipelines, secrets management for API keys, and container isolation are not specified.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no explicit mention of built-in guardrails, real-time drift detection, evaluation frameworks, or security monitoring for the deployed autonomous agents.

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

Not certain from the listing — compliance certifications (e.g., SOC 2, GDPR), identity/access management (IAM) policies, and enterprise-grade audit logging are not detailed.

L7 · Agent Ecosystem✓ mapped

As an agent platform, it enables the creation of an ecosystem of interconnected workflows. Threat of cascading failures across connected business pipelines and trust abuse between multi-agent workflows if one node is compromised.

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.