LLM security testing for pentesters: map attacks to the OWASP LLM Top 10, break a vulnerable MCP server locally, and turn ...

AI testing and validation approaches still vary widely as most healthcare providers adopt third-party solutions, creating what a recent report deems a patchwork of AI strategy maturity levels.

AI sandboxes are being allowed to let AI escape and see what happens. This is risky. An AI Insider analysis and scoop.

OpenAI says an agent powered by its LLM models escaped its sandboxed testing environment to infiltrate Hugging Face’s servers as part of an overzealous attempt to obtain solutions to a benchmark test.

For enterprise buyers commissioning security assessments of AI systems, there has been no independent way to verify whether ...

Scientists and publishers are testing a new breed of software that promises impressive accuracy at spotting AI-written text.

DeviQA formalizes a QA methodology for AI-assisted development, addressing new risks in AI-generated code, tests, and ...

Testing AI is different when answers vary. Learn how to validate nondeterministic outputs, simulate AI dependencies, and automate reliable testing with Parasoft SOAtest and Virtualize.

Hebrew University of Jerusalem (HUJI) scientists have developed a method for generating personality assessment questionnaires ...

Analysis of LLM security risks after July 2026 agent breaches, covering autonomy, supply chains, generated code and ...

Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time. However, ...

Technology analyst firm SelectHub today announced the launch of DataGrout, its specialized AI research lab introducing an LLM inference optimization platform and AI governance solution for enterprises ...