Chain Reaction: Exploiting Trust in AI Agent Networks

New research reveals how attackers can cascade vulnerabilities through interconnected AI agents, and introduces a defense mechanism to prevent these systemic failures.

New research reveals how attackers can cascade vulnerabilities through interconnected AI agents, and introduces a defense mechanism to prevent these systemic failures.

Researchers have developed a new framework that allows AI agents to not only answer complex questions using knowledge graphs, but also improve their reasoning abilities over time through self-directed learning.
A new study identifies and categorizes the pervasive configuration errors plaguing Kubernetes deployments, offering practical tools for improved reliability and security.

A new framework intelligently repurposes existing processor test cases to significantly improve the efficiency of hardware vulnerability detection.

Researchers demonstrate that hollow-core fiber can maintain signal integrity for long-distance quantum key distribution, offering a pathway to more secure and robust networks.

New techniques are demonstrating improved control over unwanted interactions between qubits, paving the way for more stable and scalable quantum computers.

Researchers have uncovered a novel exploitation technique that leverages subtle weaknesses in hypervisor memory isolation to reliably compromise virtual machines.

New research reveals that even advanced document visual question answering systems are susceptible to subtle visual manipulations that can alter their responses.

Researchers have significantly increased the range of secure quantum communication by optimizing techniques for real-world single-photon sources.
A new semantic typing approach brings verifiable safety to smart contracts, even when utilizing the traditionally untyped fallback function.