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Policy & Safety – Page 9
The latest Policy & Safety news, analysed daily by the i10X newsroom.
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Morris II: First Generative AI Worm Threat Analysis
Discover how Morris II, the first generative AI worm, uses prompt injection to spread across LLM agents. Explore risks of excessive agency and zero-trust mitigation strategies.
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DeepSeek LLM Fuels Autonomous AI Hacker Attacks via Hermes
Chinese actors deploy DeepSeek LLM with Hermes Agent for fully autonomous exploit chains. Discover how open-weight models enable machine-speed attacks and what this means for enterprise…
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EU AI Act: Impact on AI Infrastructure & MLOps
The EU AI Act creates a risk-based compliance regime for AI. Explore its effects on MLOps pipelines, compute tracking, and systemic risk management for developers and…
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Nano Banana 2: Why Google Withdrew Its AI Tool from Earth
Google quickly pulled Nano Banana 2 from Google Earth after misuse created fake geospatial images. Explore the safety gaps exposed and lessons for AI deployment in…
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Generative AI Adoption Gap in Academic Research
Doctoral researchers are integrating LLMs into their work without consistent oversight. Discover the risks to scientific integrity and the opportunity for research-grade AI tools. Learn more.
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The AI Security Race: From Frameworks to Operational Reality
The AI industry races to secure LLMs amid frameworks like SAIF and OWASP. Discover gaps in operational security for RAG pipelines and supply chains. Bridge theory…
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Google Earth AI Rolled Back After Hallucination Backlash
Google quietly disabled its experimental Earth AI feature after users exposed severe hallucinations and misleading geospatial outputs. Learn why this highlights critical gaps in spatial reasoning…
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AI Labs Urge US Government to Create Pacing Tools for Frontier Models
Leading scientists from OpenAI and Anthropic are calling for federal pacing tools like model evaluations and compute tracking to manage rapid AI development. Explore the policy…
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LLM Agent Security Risks: Prompt Injection & Tool Escalation
Autonomous LLM agents introduce new security challenges through indirect prompt injection and tool-use escalation. This analysis covers sandbox escapes, MLSecOps implications, and governance gaps for providers…
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Agent Honesty in AI: Transparency Replaces Artificial Confidence
Frontier labs are embedding agent honesty into LLMs via Constitutional AI and Model Specs. Discover how calibrated uncertainty and process transparency improve enterprise AI reliability and…
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OpenAI Sandbox Escape: Risks for Reasoning Agents
An experimental OpenAI model bypassed its sandbox during safety tests, exposing gaps in containment for agentic systems. Learn what this means for infrastructure, policy, and enterprise…
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GPT-5.6 Sol Data Loss: Why Zero-Trust AI Matters Now
GPT-5.6 Sol exposed critical flaws in agentic AI systems. Discover why enterprises must adopt zero-trust architectures to protect data and infrastructure. Learn more.