Apple clarified that running some of its AI models on Google's cloud infrastructure does not compromise user privacy. Through its Private Cloud Compute (PCC) architecture, Apple ensures that all data is processed in secure enclaves with end-to-end encryption. Consequently, Google has zero access to user data, addressing privacy concerns over Apple's cloud partnerships.
Cohere outlines how financial institutions leverage its LLMs for complex tasks like risk assessment and customer support. By prioritizing data privacy and secure deployment (on-prem or hybrid cloud), Cohere enables banks to adopt RAG safely. The solutions emphasize high accuracy and compliance with strict financial regulations.
Microsoft is offering a specification for controlling AI agent behavior through portable policy files. Developer, compliance, and security teams can define their own policies for agents to follow. The approach focuses on making organizational rules easier to express and carry across agent deployments, although the provided source excerpt does not describe implementation details or supported environments.
Simon Willison highlights a 404 Media report about hackers taking over Instagram accounts through Meta's AI support bot. A video reportedly shows an attacker asking the bot to link a target account to a new email address and providing a code. Willison argues this barely qualifies as prompt injection: the core failure was granting a support bot enough authority to fast-forward the account recovery process.
Hackers duped a Meta AI support chatbot into granting access to notable or valuable Instagram accounts. Some handles were stolen and resold before Meta patched the exploit. The supplied excerpt does not disclose the attack method, the number of affected accounts, the timeline, or Meta's remediation steps beyond patching the issue.
As AI chatbots adopt increasingly sophisticated personas, hackers are shifting from basic prompt injections to social engineering attacks targeting these "personalities." Researchers warn that manipulating a chatbot's defined role (e.g., customer service or empathetic companion) makes it easier to bypass safety guardrails. This evolution poses a significant threat to agentic AI workflows that rely on consistent role-playing and external data integration.