ChatLLM Teams — agentic threat model

Utilizes state-of-the-art foundation models (GPT-4o, Sonnet-3.5, Gemini 1.5, DALL-E 3, FLUX.1 Pro). These models are susceptible to prompt injection, adversarial reprogramming, and generating mis-aligned or malicious outputs.

Supports document interaction, web search, and data analysis. This introduces risks of data poisoning via malicious uploaded documents or untrusted web search results, potentially leading to indirect prompt injection or data exfiltration.

Features code execution, data analysis, and custom chatbot creation. Insecure tool integration is a major threat here, where malicious inputs could exploit the code execution environment or abuse custom chatbot configurations.

Not certain from the listing — details on the code execution sandboxing environment, network isolation, and secrets management are not publicly detailed in the listing, though robust sandboxing is critical to prevent host compromise during code execution.

Not certain from the listing — the presence of guardrails, evaluation frameworks, or logging/monitoring of LLM outputs and code execution is not specified.

Not certain from the listing — while it integrates with enterprise tools like Slack and MS Teams, specific identity, authorization, and compliance certifications (like SOC2) are not detailed in the listing.

Integrates with Slack and MS Teams and allows custom chatbot creation. This creates an ecosystem where compromised chatbots or malicious inputs could lead to A2A trust abuse, unauthorized message posting, or cascading failures across team channels.