AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
Abstract: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...
Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show ...
A new around of vulnerabilities in the popular AI automation platform could let attackers hijack servers and steal ...
Meanwhile, Contio kicks off its crusade against broken meetings with a world-leading decision platform, while Apex unveils an ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Scientists at Google DeepMind —the company’s artificial intelligence research arm—say they’ve created an A.I. tool that can ...
As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...
Technology partnership equips engineering and legal teams with new capabilities to manage IP risks from AI coding ...
As AI coding tools become more sophisticated, engineers at leading AI companies are stopping writing code altogether ...
Application security agent rewrites developer prompts into secure prompts to prevent coding agents from generating vulnerable ...
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