Financial AI agents must meet six database capabilities—append-only audit storage, per-agent identity attribution, strong read consistency, storage-layer idempotency, rollback support, and enforced da…
European operators have built sovereign AI infrastructure but lack the ability to govern it, according to an analysis from industry thought leaders. The EU AI Act's high-risk provisions, NIS2, and the…
A systematic review of 2,643 records found that only 19 of 57 full texts substantively integrate both legal and technical perspectives on Explainable AI (XAI) and the EU Right to Explanation, revealin…
Cillian Kieran, founder and CEO of Ethyca, said in an interview that data governance, not AI models, will be the defining bottleneck for enterprise AI adoption, citing his experience with GDPR and the…
A developer demonstrates how to build a client-side 'Privacy Shield' using Transformers.js and WebAssembly to mask personally identifiable information (PII) directly in the browser before data reaches…
On 2 August 2026, national market surveillance authorities across the EU will gain full investigatory and enforcement powers under the EU AI Act, including GPAI penalty powers and Article 50 transpare…
A new study presents a federated physics-informed neural network (PINN) for privacy-preserving brain tumor biomechanical modeling, achieving 91.4% accuracy against 90.0% for a non-federated baseline. …
A developer outlines steps to implement row-level security in RAG (Retrieval-Augmented Generation) architecture for multi-tenant AI applications, emphasizing data isolation and compliance with regulat…
A developer details a method for pseudonymizing documents before sending them to AI assistants, ensuring compliance with GDPR and trade-secret protection. The approach uses same-format surrogates via …
A doctoral project at CiTiP investigates a tension between EU regulations requiring explainable AI (XAI) under the GDPR and AI Act and the data protection obligations those same laws impose, finding t…
Enterprises deploying large language models face critical security risks including prompt injection, insecure output handling, and data leakage, according to the OWASP Top 10 for LLMs. To mitigate the…
An engineer warns that MCP (Model Context Protocol) lacks built-in access control and audit logging, creating compliance risks for enterprises handling regulated data. The protocol standardizes AI age…
A new training-time framework called Dependency-Aware Intermediate QA Supervision (DAIS) improves final-answer accuracy on complex reasoning tasks by converting filtered teacher rationales into stage-…
RapidNative, a company building AI-generated React Native apps, identifies five common data leak points that occur outside production code, including unencrypted AsyncStorage, production data in desig…
Lightning Jar, a web development firm, has switched from Google Analytics to Plausible on its own sites and most client projects, citing privacy, performance, and compliance benefits. Plausible's cook…
Local open-weight models and PII detection pipelines can process sensitive documents without sending data to the cloud, eliminating risks such as data retention, breach surface, and regulatory liabili…
LM Studio enables users to run large language models entirely offline on a laptop, processing sensitive documents without internet or cloud dependency. The tool supports open-weight models like Llama,…
A study from arXiv:2607.14205 found that federated learning (FL) on radiology reports is vulnerable to privacy leakage via gradient inversion, with exact sentence reconstruction rates ranging from 31%…
Pedro Sordo Martínez released corpus-scrub 0.1.0, a local-first CLI tool that detects and redacts PII (email, phone, IBAN, credit card numbers, names) and secrets (API keys, tokens) in training corpor…
Ireland's Data Protection Commission (DPC), the lead regulator for Google, Meta, Apple, and Microsoft in the EU, is expected to apply the highest scrutiny to major tech platforms' AI systems under the…