InstaLILY AI — agentic threat model
InstaLILY AI presents a high-risk profile due to its deep integration into critical enterprise systems (ERP, CRM) and its high autonomy in executing financial and operational workflows like quoting and ticket triage. While its focus on governance and regulated-industry readiness provides some reassurance, the multi-agent composability increases the attack surface for cascading failures and unauthorized tool execution.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.50 | |
| 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.
Not certain from the listing — The underlying foundation models are not specified, but the 'domain-trained' nature suggests fine-tuning or specialized prompting. Threats include model alignment issues and prompt injection that could bypass business logic.
Not certain from the listing — The platform integrates with CRM and ERP systems, implying extensive RAG or direct database querying. This exposes the system to data poisoning via malicious CRM entries and unauthorized data exfiltration.
InstaLILY uses an agent framework supporting 'composable agents' that execute full workflows (quoting, triage). Vulnerabilities here include insecure tool integration with ERP/CRM APIs and planning failures that could lead to incorrect financial transactions.
Not certain from the listing — Deployment details are omitted, but enterprise integration suggests cloud or hybrid hosting. Key threats include credential theft for connected enterprise systems and lack of sandboxing for agent execution environments.
Not certain from the listing — While 'governance' is mentioned, specific observability, logging, or guardrail frameworks are not detailed. Gaps in logging could prevent detection of unauthorized agent actions in ERP systems.
The platform explicitly claims 'regulated-industry readiness' and 'governance'. However, compliance risks remain high if the agents handle PII/PHI within CRMs without strict access controls and audit trails.
With 'composable agents' and 'AI teammates' working together, there is a significant risk of cascading failures, agent-to-agent trust abuse, and privilege escalation if one agent in the workflow 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.