Manus AI — agentic threat model

Not certain from the listing — likely relies on advanced third-party LLMs to power its independent reasoning and systematic planning. Key threats include prompt injection that could hijack the planning logic or reprogram the model's core instructions.

Not certain from the listing — the adaptive learning feature suggests it stores and processes user feedback, which introduces risks of data poisoning, feedback manipulation, and unauthorized data exfiltration if sensitive inputs are cached.

Manus AI's core framework orchestrates systematic planning and multi-tool integration. This creates a high risk of tool misuse, insecure tool calling, and planning manipulation where malicious inputs trick the agent into executing unintended tool sequences.

Not certain from the listing — as an open-source productivity tool, deployment could range from local environments to cloud hosting. Without explicit sandboxing, executing end-to-end tasks poses severe risks of local host compromise or privilege escalation.

Not certain from the listing — there is no mention of built-in guardrails, real-time monitoring, or observability logging to detect drift, anomalous tool execution, or adversarial planning loops.

Not certain from the listing — being a free and open-source vertical tool, it lacks documented compliance alignments, enterprise access controls, or formal security certifications in its public description.

Not certain from the listing — the agent is described as a vertical productivity tool executing tasks independently, with no explicit multi-agent coordination or marketplace ecosystem threats identified.