Key Takeaways - Existing Python functions can become controlled tools that an AI agent can call for specific tasks.A decision ...

When Google Apps Script (GAS) or Python scripts don't work, the most time-consuming part is the time spent not knowing what ...

Launching the same software every day, hitting the same keys, clicking the same spots...Aren't you letting your precious time ...

Exploiting Unauthenticated API Gateways in AWS September 21, 2026 sara.pearlman@guidepointsecurity.com BLOG  5 min. Over the past year, GuidePoint’s Threat and Attack Simulation (TAS) team has ...

A new cyber benchmark shows AI agents can find and patch many software vulnerabilities, but complex bugs, incomplete fixes ...

LLMs can dynamically generate error-handling strategies in real time, tailored to specific runtime contexts such as error ...

Compromised MemTensor npm and PyPI packages deliver sckit, a Go-based stealer targeting cloud, registry, source-code, and developer credentials.

AI systems need more than pass/fail tests. Here’s how QE now spans data validation, model robustness, LLM evals, regression ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...

Paper2Agent, published in Nature on September 16 by Stanford researchers, converts static research papers into callable AI agents via MCP servers in 45 minutes for $14. The system validates tools ...

This important study shows that neural responses to visual input during active vision are more closely aligned with self-generated eye movements than with fixation onset. The evidence for neural ...

Jev, TypeSafe AI's System One model — routers, guardrails, browser agents, SQL extensions — and what each one replaced.