
Guide to Running Large Language Models Locally on Personal Computers
The M5 Ultra Mac Studio provides 256 GB of unified memory, enabling it to run large local language models.

The M5 Ultra Mac Studio provides 256 GB of unified memory, enabling it to run large local language models.

Cisco Talos says AI-driven agents attacked Hugging Face, DSEWiki and RubyGems, and warns that attackers could soon shift from loud volume-based campaigns to stealthy persistence-focused operations.

Dark Reading reports that Anthropic's Oct. 6, 2026 program ties looser Claude cyber restrictions to who applies and what they test, with the US government vetting the top tier.

Google stopped taking new product vulnerability reports in its Open Source Software Vulnerability Rewards Program on Oct. 1, 2026, and plans an update in the first quarter of 2027.

The security vendor's analysis of servers listed in five registries points to trust gaps for teams that connect AI agents to outside tools and data.

A Sept. 8, 2026 joint advisory from CISA, the NSA and the FBI alleges the extraction and recommends that providers detect it, subtly alter responses to suspected distillers and share intelligence.

Anthropic's Oct. 6, 2026 expansion of its Cyber Verification Program puts the weight of safety on vetting and monitoring rather than on the model's refusals, according to the company's own benchmark.

Syed Anas Mohiuddin's proof-of-concept attacks exploit trust between agents on the Model Context Protocol, while a separate OX Security disclosure targets a different flaw in the same ecosystem.

The OWASP Top 10 for LLM Applications 2025 puts prompt injection at LLM01, and the sources agree on layered controls that do not rely on filters alone.

CrowdStrike Intelligence says exposed session logs and configuration files show one actor combined a Chinese-developed testing tool with several language models and exfiltrated data.

OpenAI's findings describe a fake Latin American think tank and seven invented journalist personas, and they raise the question of how editors check who stands behind a source.

Wikimedia's account of test edits, failed attempts to use its tools as proxies and heavy query traffic points to controls operators can check before an agent gets network access.