Delta Labs AI — agentic threat model
Delta Labs AI presents a low agentic risk profile due to its purely analytical and consultative nature, lacking autonomous execution capabilities. However, it carries moderate data security risks as it ingests sensitive operational and financial business data for its 9-dimension diagnostic.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| 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.
Not certain from the listing — likely utilizes commercial LLMs via API to perform the qualitative analysis. Primary threats include prompt injection designed to manipulate diagnostic outcomes or extract underlying system prompts.
Not certain from the listing — requires ingestion of sensitive business operational data, workflow descriptions, and potentially financial metrics. Threats include data exfiltration of uploaded business diagnostics and lack of clear data retention/deletion policies.
Not certain from the listing — likely uses a simple sequential orchestration framework to evaluate the nine business dimensions. Threats include insecure handling of user-provided inputs within the prompt context, leading to context overflow or logic bypass.
Not certain from the listing — hosted as a closed-source SaaS web application. Threats include standard web application vulnerabilities, unauthorized access to tenant diagnostic reports, and insecure API endpoints.
Not certain from the listing — no details on monitoring, output validation, or guardrails for the diagnostic output. Threats include hallucinated business advice or biased efficiency recommendations going undetected.
Not certain from the listing — no compliance certifications (such as SOC2) or explicit data privacy controls are mentioned for the uploaded business data. Threats include regulatory non-compliance regarding proprietary business data storage.
Not certain from the listing — operates as a standalone diagnostic tool with no mentioned multi-agent or marketplace integrations. Threats are minimal here, restricted to potential future integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).