InfoQ - Data Privacy - News

AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance

Olimpiu Pop — Fri, 16 Oct 2026 14:14:00 GMT

A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session emphasised a strategic approach to deployment and security management.

By Olimpiu Pop

Meta Extends Confidential Computing to AI Glasses with Private Processing

Leela Kumili — Wed, 14 Oct 2026 13:57:00 GMT

Meta has extended Private Processing to AI glasses, using confidential VMs, trusted execution environments, remote attestation, anonymous credentials, OHTTP routing, and TEE-based storage to process AI workloads and persistent user context in the cloud.

By Leela Kumili

Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy

Sergio De Simone — Wed, 14 Oct 2026 09:00:00 GMT

Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their own machines, while retaining the flexibility to mix in cloud-based models for higher-level tasks. This approach gives developers greater control over data privacy, inference costs, network dependencies, and computational workload distribution.

By Sergio De Simone