Jiffy.ai — agentic threat model
Jiffy.ai presents a high agentic risk profile due to its powerful RPA capabilities, bulk data processing, and extensive integration features, which could lead to widespread enterprise data exfiltration or unauthorized system actions if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.40 | |
| 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 specific foundation models or LLMs powering the NLP and cognitive automation capabilities are not disclosed, leaving risks like model-level backdoors or adversarial reprogramming unverified.
Handles bulk data processing and document processing, creating significant exposure to data exfiltration, document-based injection attacks, and data lineage/provenance gaps during automated ingestion.
Utilizes a workflow designer and orchestration framework to manage AI-powered bots. Vulnerabilities here include insecure tool integration and the potential for malicious prompt injection to hijack workflow execution paths.
Not certain from the listing — The hosting environment, sandboxing mechanisms for executing automated scripts, and secrets management for integrations are not detailed in the public directory.
Not certain from the listing — While RPA platforms typically include execution logs, the specific guardrails, drift detection, and real-time anomaly monitoring for the cognitive AI components are not specified.
Not certain from the listing — Although it is a paid enterprise-grade platform, specific compliance certifications (e.g., SOC2, ISO 27001) or granular identity and access management controls are not explicitly detailed.
Deploys and manages multiple AI-powered bots across various business functions, introducing risks of cascading failures, privilege escalation across bot boundaries, and agent-to-agent trust abuse.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).