A Comparative Survey of Security Risks in AI Systems: From LLMs to AI Agents and Embodied Agents
inforesearchPeer-Reviewed
securityresearch
Source: ACM Digital Library (TOPS, DTRAP, CSUR)September 3, 2026
Summary
This is a research survey article that compares security risks across different types of AI systems, including LLMs (large language models, which are AI systems trained on massive amounts of text), AI agents (programs that can make decisions and take actions autonomously), and embodied agents (AI systems that interact with the physical world through robots or similar hardware). The article examines various security threats that affect these different AI systems and how those risks differ between them.
Classification
Attack SophisticationModerate
Monthly digest — independent AI security research
Original source: https://dlnext.acm.org/doi/abs/10.1145/3837083?af=R
First tracked: September 3, 2026 at 08:01 AM
Classified by LLM (prompt v3) · confidence: 92%