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#security News & Analysis

Coverage of #security spans 862 indexed articles, with 378 published in the last 30 days. Recent discussion leans bearish, at 49.7% negative sentiment versus 46.8% bullish, though sentiment has remained stable over the past month. Top sources include arXiv's computer science and AI research, along with cryptocurrency-focused outlets like Crypto Briefing and Blockonomi. The tag frequently intersects with #ai, #bitcoin, and geopolitical concerns, with Anthropic and Claude among the most-discussed entities. Bitcoin and Ethereum dominate ticker mentions in this coverage area. Explore the articles below to understand the full scope of recent #security developments.

sentiment · last 30d (378 articles)
Top sources:arXiv – CS AI · 205Crypto Briefing · 163Blockonomi · 42NewsBTC · 35CoinDesk · 29
Most-discussed entities:Anthropic · 28Claude · 23OpenAI · 11Gemini · 7GPT-5 · 7
1942 articles
AINeutralarXiv – CS AI · May 116/10
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Repeated Deceptive Path Planning against Learnable Observer

Researchers introduce Repeated Deceptive Path Planning (RDPP), a framework addressing how agents can conceal destinations from learning adversaries who adapt over time. The proposed Deceptive Meta Planning (DeMP) algorithm uses two-level optimization to sustain deception against evolving observers, outperforming existing static-observer approaches while maintaining reasonable path costs.

CryptoBearishDecrypt · May 96/10
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Olympic Sprinter Can't Outrun Charges in UK Crypto Fraud Investigation

British Olympic sprinter CJ Ujah faces charges in a cryptocurrency fraud investigation involving wallet seed phrase theft and fraudulent impersonation calls. The case highlights how high-profile individuals can become entangled in crypto scams and underscores persistent security vulnerabilities in the digital asset ecosystem.

Olympic Sprinter Can't Outrun Charges in UK Crypto Fraud Investigation
AINeutralarXiv – CS AI · May 96/10
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Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effec

Researchers propose governed metaprogramming, a language design framework that reclassifies the eval function from an unrestricted primitive into a controlled effect subject to governance and inspection. The approach aims to address security and authority risks in AI systems that synthesize executable code at runtime, with implementation demonstrated in MashinTalk, a DSL for AI workflows.

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