AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Two malware campaigns weaponize open-source software to target executives and cloud systems, combining social engineering ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

KEV Collider combines data from multiple open-source vulnerability frameworks to help cybersecurity teams assess which issues ...

OpenAI’s GPT-5.3-Codex expands Codex into a full agentic system, delivering faster performance, top benchmarks, and advanced cybersecurity capabilities.

Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.

MLB Players Inc. struck a deal with Genies to let Genies create AI player avatars that chat via text or voice, remember past conversations, and support paid experiences.

Malicious "skills" and persnickety configuration are just a few issues that security researchers have found when installing ...

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 ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

The Industry body flags risks in advancing compliance for significant data fiduciaries and early rollout of rules handling ...