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Agentive — agentic threat model

8.9AIVSS 8.9 · High

Agentive is a closed-source agent orchestration platform that introduces significant risk due to its broad integration capabilities across business tools and software development environments, lacking explicit security guardrails in its public description.

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 ×0.95
Autonomy of Action
0.70
Goal-Driven Planning
0.60
Self-Modification
0.30
Dynamic Tool Use
0.80
Persistent Memory
0.50
Contextual Awareness
0.70
Dynamic Identity
0.40
Multi-Agent Interactions
0.50
Non-Determinism
0.70
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⚠ not certain from listing

Not certain from the listing — The platform likely supports multiple underlying LLMs (e.g., OpenAI, Anthropic) to power its agents, but the specific foundation models and their alignment/fine-tuning guardrails are not detailed.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — While it integrates with various tools and platforms, the specific vector databases, RAG architecture, and data ingestion pipelines are not disclosed.

L3 · Agent Frameworks✓ mapped

The platform provides orchestration capabilities to build and deploy agents with tool integration and workflow automation, making it susceptible to insecure tool execution and prompt injection leading to unauthorized actions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment (cloud-based SaaS by Morningside AI) is closed-source, leaving details about container sandboxing, network isolation, and secrets management unspecified.

L5 · Evaluation & Observability✓ mapped

The platform explicitly features 'real-time performance analytics' to monitor deployed agents, though the depth of security-specific guardrails or anomaly detection is not fully detailed.

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

Not certain from the listing — No specific compliance certifications (e.g., SOC 2, GDPR) or fine-grained access control (RBAC) mechanisms are mentioned in the public directory listing.

L7 · Agent Ecosystem✓ mapped

As an agent deployment platform with pre-built templates and tool integrations, it faces risks of cascading failures or malicious template sharing if a marketplace or shared repository is utilized.

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.