Jynova — agentic threat model
Jynova presents a moderate-to-high risk profile due to its integration with sensitive company documents, knowledge bases, and operational workflows. The lack of explicit security controls or sandboxing details in the listing, combined with persistent context capabilities, highlights potential vectors for data exfiltration and unauthorized workflow execution.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.70 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.50 |
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.
Not certain from the listing — The underlying foundation models are not specified. Standard LLM risks such as prompt injection, adversarial manipulation, and misaligned outputs remain highly relevant depending on the chosen provider.
Jynova explicitly interacts with company knowledge and documents. This introduces significant risks of data/knowledge-base poisoning, unauthorized data exfiltration, and embedding inversion if the vector database or document ingestion pipeline is compromised.
The platform orchestrates agents with 'persistent context' and integrates them into 'workflows'. This creates potential vectors for memory poisoning and insecure tool/workflow execution if malicious inputs are processed and stored across sessions.
Not certain from the listing — No details are provided regarding hosting infrastructure, tenant isolation, secrets management, or execution sandboxing for workflow integrations.
Not certain from the listing — There is no mention of built-in evaluation frameworks, real-time monitoring, guardrails, or logging mechanisms to detect drift or anomalous agent behavior.
Not certain from the listing — The directory listing does not cite any compliance certifications (e.g., SOC2, ISO 27001), identity/access management (IAM) controls, or audit logging capabilities.
Not certain from the listing — While Jynova provides a platform of 'specialized AI agents', it is unclear if these agents interact with each other (A2A), which would introduce risks of cascading failures or trust abuse.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).