Java Development Kit (JDK) 27, scheduled for release in September, is already making headlines with its first proposed feature. The update aims to improve network security by introducing a new post-quantum hybrid key exchange capability. This is part of Java’s ongoing efforts to keep up with emerging threats and technological advances. Introducing Post-Quantum Hybrid Key
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All posts tagged in AI Safety
Recent reports have highlighted the dangers of relying on AI chatbots for health questions. Some responses from Google’s AI have contained seriously misleading or harmful information, prompting concern among healthcare experts and users alike. Google has taken steps to address these issues, but questions remain about the safety of AI-driven health advice. Instances of Harmful
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Artificial intelligence is often compared to electricity when it first appeared a century ago. People saw its potential but weren’t quite sure how to use it safely or effectively. Today, many companies are in the same boat with AI. They know it can change everything but struggle with implementation, safety, and getting a good return
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In many companies, ignoring the IT department’s warnings is often seen as harmless or simply overlooked. Unlike other parts of a business, IT warnings rarely lead to serious consequences if they’re dismissed. But what if ignoring IT could result in real harm or big losses? It’s time to rethink how seriously companies take IT advice
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Trend Micro has released an urgent security patch for its Apex Central management tool after discovering multiple vulnerabilities. These flaws could allow hackers to take control of affected systems without needing to log in. The issues were identified by security firm Tenable and impact all on-premises versions of Apex Central older than build 7190. Severe
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Many of us have experienced the eerie silence of a self-driving car navigating a busy city street without a driver. It feels smooth until it suddenly misreads a shadow or slows down unexpectedly. That moment reveals a core issue with autonomous systems: they often lack the judgment to handle unexpected situations confidently. Trust becomes the
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As generative AI (genAI) and autonomous AI tools become more widespread, many business leaders feel pressured to adopt the latest technology. Some worry that their companies can’t keep up with the rapid pace of AI development. But there’s a simple and effective way to compete: focus on what AI struggles with and build your value
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Cornerstone OnDemand has announced a major milestone in responsible AI development. Its Galaxy Platform has earned ISO/IEC 42001 certification, the world’s first international standard for managing artificial intelligence. This move highlights Cornerstone’s commitment to ethical, transparent, and well-governed AI practices across its products. Setting a New Benchmark for Responsible AI ISO 42001 offers organizations a
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Security researchers have uncovered a serious vulnerability in Open WebUI, a popular self-hosted interface for managing large language models. This flaw could let attackers hijack AI workloads and steal sensitive data. The problem is tied to how the platform handles external connections and server-sent events, or SSEs. How the Flaw Works and Its Risks The
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Researchers have created a new tool to help protect valuable proprietary data used in AI systems. This method aims to make stolen data useless to hackers and unauthorized users. It’s especially relevant for large language models that rely heavily on sensitive information stored in knowledge graphs. How the Technology Works The tool, called AURA (Active
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