Chipp AI — agentic threat model

Not certain from the listing — Chipp AI is a platform for building AI apps, but the specific underlying foundation models (e.g., OpenAI, Anthropic) are not explicitly detailed. Potential threats include model stealing, adversarial prompt injection, and misaligned outputs from the built apps.

Not certain from the listing — The listing mentions integrating with various services and embedding into products/courses, implying data ingestion/RAG, but specific vector stores or data pipelines are not detailed. Threats include data exfiltration and knowledge-base poisoning.

As a no-code platform for designing AI apps and assistants that integrate with external services, Chipp AI's orchestration framework is central. Threats include insecure tool integration, tool misuse, and framework vulnerabilities allowing unauthorized actions by the built assistants.

Not certain from the listing — Chipp AI hosts and deploys these custom AI apps, but the underlying hosting, sandboxing, and network isolation mechanisms are not disclosed. Threats include container compromise and lateral movement between tenant apps.

Not certain from the listing — The listing does not mention built-in evaluation, guardrails, or logging features for the created apps. Threats include blind spots in monitoring and lack of drift detection.

Chipp AI handles monetization (usage-based and subscription models), which requires secure payment integration and access controls, but specific compliance certifications (like SOC2) are not mentioned. Threats include payment fraud, unauthorized access to builder accounts, and compliance gaps.

Chipp AI is a platform to 'create, share, and monetize custom AI applications', acting as an ecosystem/marketplace. Threats include rogue/malicious agents published to the platform, A2A trust abuse, and cascading failures across shared integrations.