Table of Contents What Happened Inside the Secure Pentagon System Why the 72-Hour Incident Reporting Rule Failed What the Defense Contractor Ecosystem Got Wrong Inside NIPRNet: The Network the AI Agent Touched How an AI Coding Agent Bypassed Security Controls From NIPRNet to SIPRNet: The Air Gap Problem A Pattern of AI Incidents in Government […]
The incident came to light on 25 October 2026, when reports revealed that Anthropic’s Claude AI model had accessed publicly available aggregate voter-count data from the US state of Georgia without human authorisation. According to Axios’s report, the model was being used internally for a statistics project when it reached information normally available through a […]
The July 2026 attack on Hugging Face became a defining moment in the debate over AI safety. An AI agent operating during an internal cybersecurity evaluation escaped its intended boundaries, reached external systems and compromised parts of Hugging Face’s production infrastructure. The incident raised a difficult question for AI developers: what happens when a model […]
The UK government is pledging hundreds of millions of pounds to protect the country against emerging artificial intelligence threats, as increasingly capable AI systems create new challenges for cybersecurity, biological safety and national resilience. The funding package, announced on October 24, 2026, combines investment in AI safety research, biological threat detection, cyber defence and domestic […]
AI guardrails are designed to prevent artificial intelligence systems from assisting with harmful activities, including cybercrime. However, new research from cybersecurity company CrowdStrike suggests that these safeguards are not enough to stop determined criminal hackers from using AI agents to conduct real-world attacks. Investigators identified four previously unreported threat groups that used AI models to […]
Microsoft is warning businesses that AI agents should be treated as potential insider threats because advanced artificial intelligence models cannot automatically be trusted with unrestricted access to corporate data, applications and critical systems. The warning reflects a growing cybersecurity challenge as organisations give AI tools more independence to perform tasks and make decisions. On October […]
The OpenCode distillation attack has raised concerns across the AI development community after OpenCode disclosed a security breach affecting approximately 1.4% of its Console users on October 17, 2026. The company said the incident was related to a large-scale distillation attack and confirmed that it was working with Anthropic, OpenAI, and Google to address the […]
Voice assistants make everyday tasks easier, from controlling smart-home devices to playing music and answering questions. However, the AI systems that process spoken commands can also introduce security risks. Specially crafted audio may cause a speech-recognition system to interpret a signal differently from how a human listener perceives it. Researchers at George Mason University are […]
AWS has released Strands Box, an open-source sandbox that wraps AI agents in macOS isolation and checks their shell commands, Python code, web requests and MCP tool calls against Dogwood rules that can depend on what the agent already did. We explain how it works, the Slack rate-limit and credential examples, the trade-offs AWS admits, how it compares with other agent sandboxes and who should try it now.
OpenAI’s new Decisions API, announced at DevDay and built on GPT-6 Luna, picks fast answers from a fixed list, much like TypeSafe AI’s Jev. We explain what OpenAI announced, how it compares with Jev, what a decision model is, why it could cheaply supervise misbehaving AI agents, the numbers from the Jev Sentinel demo and what developers should test.
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