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The rise of Moltbook suggests viral AI prompts may be the next big security threat

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI alignment, AI Ethics, AI safety, AI security, AI self-preservation, Artificial Intelligence, Biz & IT, Cryptocurrency, Machine Learning, Moltbook, Moltbot, MoltBunker, OpenClaw, p2p, Peter Steinberger, prompt injection, prompt worm, Security

On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected computers, crashing systems at Harvard, Stanford, NASA, and Lawrence Livermore National Laboratory. The worm exploited security flaws in Unix systems that administrators knew existed but […]

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How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks

ai, AI (Artificial Intelligence), Artificial Intelligence, Context Engineering, Editors Pick, prompt engineering, Security, Staff, Technology, Tutorials, Uncategorized

In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based pattern detection, LLM-driven intent classification, and anomaly detection to create a defense system that relies on no single point of failure. Also, we demonstrate how practical, production-style safety

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Jeffrey Epstein Had a ‘Personal Hacker,’ Informant Claims

ai, AI (Artificial Intelligence), Artificial Intelligence, Security, Security / Cyberattacks and Hacks, Security / National Security, Security / Privacy, Security / Security News, Security Roundup

Plus: AI agent OpenClaw gives cybersecurity experts the willies, China executes 11 scam compound bosses, a $40 million crypto theft has an unexpected alleged culprit, and more.

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Web portal leaves kids’ chats with AI toy open to anyone with Gmail account

ai, AI (Artificial Intelligence), Artificial Intelligence, Bondu, eavesdropping, Security, Toys

Earlier this month, Joseph Thacker’s neighbor mentioned to him that she’d preordered a couple of stuffed dinosaur toys for her children. She’d chosen the toys, called Bondus, because they offered an AI chat feature that lets children talk to the toy like a kind of machine-learning-enabled imaginary friend. But she knew Thacker, a security researcher,

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Overrun with AI slop, cURL scraps bug bounties to ensure “intact mental health”

ai, AI (Artificial Intelligence), Artificial Intelligence, Biz & IT, bug bounties, LLMs, Security, slop

The project developer for one of the Internet’s most popular networking tools is scrapping its vulnerability reward program after being overrun by a spike in the submission of low-quality reports, much of it AI-generated slop. “We are just a small single open source project with a small number of active maintainers,” Daniel Stenberg, the founder

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Headshot of Bill Conner, former adviser to Interpol and GCHQ, and current CEO of Jitterbit.

Balancing AI cost efficiency with data sovereignty

ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, data, enterprise, Features, governance, Governance, Regulation & Policy, Inside AI, Opinion, Privacy, Security, sovereignty, strategy

AI cost efficiency and data sovereignty are at odds, forcing a rethink of enterprise risk frameworks for global organisations. For over a year, the generative AI narrative focused on a race for capability, often measuring success by parameter counts and flawed benchmark scores. Boardroom conversations, however, are undergoing a necessary correction. While the allure of

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SAP and Fresenius to build sovereign AI backbone for healthcare

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, data, Healthcare, Healthcare & Wellness AI, Inside AI, medical, sap, Security, sovereignty

SAP and Fresenius are building a sovereign AI platform for healthcare that brings secure data processing to clinical settings. For data leaders in the medical sector, deploying AI requires strict governance that public cloud solutions often lack. This collaboration addresses that gap by creating a “controlled environment” where AI models can operate without compromising data

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