AI Sec Watch

Apple is planning to let users choose their preferred AI model for Apple Intelligence features in upcoming operating systems (iOS 27, iPadOS 27, and macOS 27) expected this fall. Third-party AI models, called "Extensions," will be able to power features like Siri, Writing Tools, and Image Playground across the system. Users will also be able to assign different Siri voices to different AI models.

CISA (US Cybersecurity and Infrastructure Security Agency) is considering reducing the time government agencies have to fix critical vulnerabilities from 14 days to 3 days, partly due to concerns that AI models like Claude will help attackers find and exploit serious security flaws more quickly. Currently, the most urgent vulnerabilities (zero-days, which are flaws being actively exploited with no patch available) require fixes within 24-72 hours, while other critical vulnerabilities under active exploitation have 14 days. Security experts have mixed views on whether a 3-day timeline is realistic, with many concerned it doesn't allow enough time for proper testing before deploying patches.

AWS has launched AI Traffic Analysis dashboards for AWS WAF (a web access control list, or tool that filters traffic to web applications), helping organizations understand and manage AI bot traffic that now makes up 30-60% of total web activity. The dashboard provides visibility into which AI bots are accessing applications, their intent (like data gathering or search indexing), and traffic patterns, integrated with AWS WAF Bot Control's detection of over 650 unique bots.

Elon Musk is suing OpenAI's president Greg Brockman and CEO Sam Altman, claiming they violated OpenAI's founding agreement by converting it from a non-profit to a for-profit company while deceiving him about their intentions. During the trial's second week, Brockman's personal emails, texts, and diary entries became key evidence as Musk seeks to remove the executives, undo the restructuring, and obtain $134 billion to return to OpenAI's non-profit arm.

Anthropic's CEO warned that their latest AI model, Mythos, has discovered tens of thousands of software vulnerabilities (security weaknesses that attackers could exploit), creating an urgent window for organizations to patch them before rival AI systems catch up in about 6-12 months. The company is restricting access to Mythos because releasing information about unpatched vulnerabilities could allow criminals or hostile nations to exploit them, but leaders expressed conditional optimism that addressing this "moment of danger" correctly could lead to improved cybersecurity overall.

The Network-AI project has a critical vulnerability where its MCP HTTP endpoint (a server that handles tool requests) accepts requests without any authentication checks, and binds to 0.0.0.0 (making it accessible from any network). This allows anyone who can reach the server to call privileged tools that can read and modify the system's configuration, control agents, create security tokens, and adjust budget limits.

Google, Microsoft, and xAI have agreed to voluntarily submit their new AI models for safety testing by the US Department of Commerce's Center for AI Standards and Innovation (CAISI, a government agency focused on AI safety standards) before releasing them to the public. This expands earlier agreements with other AI companies and represents a shift toward safety oversight, even as the Trump administration has generally favored less regulation of AI development. The evaluations will assess the models' capabilities and security, with CAISI having already conducted 40 previous evaluations including some models that were not released publicly.

A vulnerability was found in Langchain-Chatchat (a chatbot framework) up to version 0.3.1.3 in the file upload handler component. The vulnerability involves insufficiently random values (meaning the system doesn't generate unpredictable numbers properly), which could be exploited by someone on the same local network, though the attack is difficult to carry out.

The U.S. government is increasing oversight of AI models through the Center for AI Standards and Innovation (CAISI, a government agency within the Department of Commerce), which has signed agreements to evaluate AI models from Google DeepMind, Microsoft, and xAI before they are released publicly. The White House is also considering creating a new working group to develop procedures for vetting AI models before public release, which might be established through an executive order (a direct presidential directive).