Indirect prompt injection is the most widespread and serious vulnerability in AI agents today, not just a theoretical risk. Research shows attacks can transfer across models and behaviors, revealing a fundamental weakness in how agents interpret context. More capable models aren’t safer, high performance often comes with equally high vulnerability. Attacks are especially dangerous because […]
Europese banken en fondsen investeerden eind 2025 minstens 27 miljard dollar in Palantir Technologies, ondanks zware kritiek op mensenrechten en democratische waarden. Het aandeel van Europese investeerders groeide met ruim 60%, terwijl het bedrijf gelinkt blijft aan surveillance, militaire operaties en migratiebeleid. Experts waarschuwen dat deze investeringen indirect een anti-democratische agenda versterken, mede door nauwe […]
The Future Jobs: Robots, Artificial Intelligence, and Digital Platforms in East Asia and Pacific by the World Bank explores how new technologies are reshaping jobs. Robots and automation increase productivity but can replace some routine manual jobs. AI can both replace and assist workers depending on the tasks involved. Dgital platforms are creating new flexible […]
On 23 February 2026, a coalition led by the Global Privacy Assembly warned about AI systems generating realistic images and videos of individuals without consent. They highlighted rising harms such as non-consensual intimate imagery, defamation, cyberbullying, and risks to children. Organizations are urged to follow privacy laws, build strong safeguards, ensure transparency, and provide fast […]
Switzerland rejected Palantir after a technical review found data leakage cannot be reliably prevented—an architectural, not legal, flaw. The concern isn’t analytics power, but loss of control over data flows, updates, access, and revocation. Germany faces a contradiction: promoting digital sovereignty while using Palantir in several federal states. Bavaria’s Palantir-based VeRA system triggered legal challenges, […]
Simple prompt injections can trick LLM agents into exposing sensitive personal data. Even with safeguards, attackers extract details like balances, transactions, or identifiers. Such attacks succeed in ~20% of cases and degrade agent performance by 15–50%. Defensive measures exist but remain incomplete, leaving users exposed. Bottom line: data sovereignty requires stronger guardrails. Trusting LLMs “as […]
Researchers found millions of passports, credit cards, résumés, and faces in DataComp CommonPool, a massive AI training dataset scraped from the web. Auditing just 0.1% revealed hundreds of millions of likely PII (personally identifiable information) items, including sensitive job and health details. Despite face-blurring tools, researchers estimate 102 million faces were missed, and metadata/captions still […]