You.com — agentic threat model

Utilizes multiple external and proprietary foundation models for chat, writing, and image generation. Primary threats include direct prompt injection, model reprogramming, and generating misaligned or biased outputs based on user prompts.

Performs real-time data operations via live web search and user preferences. This exposes the system to severe indirect prompt injection (where malicious web content hijacks the LLM context) and potential data exfiltration via search queries.

Not certain from the listing — the orchestration framework managing tool execution (search, image generation, writing) is proprietary. Risks include insecure tool integration and tool misuse if the orchestrator fails to sanitize inputs passed to the search or generation APIs.

Not certain from the listing — the hosting, sandboxing, and network isolation of the web-scraping and rendering components are undisclosed, presenting potential risks of Server-Side Request Forgery (SSRF) or container escape when processing untrusted web pages.

Not certain from the listing — there is no mention of real-time guardrails, output filtering, or observability logging, which could lead to undetected drift, jailbreaks, or the silent generation of harmful content.

Not certain from the listing — compliance certifications (such as SOC2 or GDPR alignment) and specific user authentication/authorization controls are not detailed in the public directory.

Not certain from the listing — while the platform integrates multiple AI models, it does not explicitly describe a multi-agent marketplace or autonomous agent-to-agent (A2A) trust boundaries, minimizing immediate ecosystem cascading risks.