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Bot or human? Creating an invisible Turing test for the internet

AI systems have detectable behavioral signatures that can be used to improve bot detection. Roundtable's Proof-of-Human API verifies proof-of-human invisibly, continuously, and instantaneously. 1 Want to see behavioral differences in action? Skip to Skip to Section 2 for interactive keystroke and mouse movement demos, or Section 3 for a cognitive psychology experiment. Google reCAPTCHA v3 boasts a commanding market share in bot detection today. It claims to analyze patterns of user behavior a

Bot or Human? Creating the Invisible Turing Test for the Internet

AI systems have detectable behavioral signatures that can be used to improve bot detection. Roundtable's Proof-of-Human API verifies proof-of-human invisibly, continuously, and instantaneously. 1 Want to see behavioral differences in action? Skip to Skip to Section 2 for interactive keystroke and mouse movement demos, or Section 3 for a cognitive psychology experiment. Google reCAPTCHA v3 boasts a commanding market share in bot detection today. It claims to analyze patterns of user behavior a

How you breathe is like a fingerprint that can identify you

Every breath you take ... could add to a breathing pattern that is unique to you, a study finds.Credit: Anusak Laowilas/NurPhoto via Getty Like the swirls in fingerprints, a person’s breathing pattern might be unique to them — offering a way not only to identify individuals, but also to identify some of their physical and mental traits. A team of researchers measured the breathing of 97 healthy people for 24 hours, and found that they could identify participants with relatively high accuracy f

Design Patterns for Securing LLM Agents Against Prompt Injections

Design Patterns for Securing LLM Agents against Prompt Injections This new paper by 11 authors from organizations including IBM, Invariant Labs, ETH Zurich, Google and Microsoft is an excellent addition to the literature on prompt injection and LLM security. In this work, we describe a number of design patterns for LLM agents that significantly mitigate the risk of prompt injections. These design patterns constrain the actions of agents to explicitly prevent them from solving arbitrary tasks.