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Observational Indistinguishability and Integrity Blind Regions in Hybrid Quantum-Classical Workflows

Framework formalizes integrity blind regions in hybrid quantum-classical workflows, validated across 3,600 label interventions with conformal detection rules.

The paper presents a claim-relative evidence and reference framework for integrity of hybrid quantum-classical workflows, distinguishing structural blind regions caused by observational indistinguishability from finite-batch statistical misses. Experiments over 3,600 label interventions show exact label-path invariance for feature and prediction views. The geometry-aligned construction detects 343 of 2,700 conclusion-changing interventions using the conformal rule and 1,183 of 2,700 with the uncorrected union, with executed conformal clean false-action rates of 0.048-0.059.

arXiv cs.CRSep 15, 13:16 UTC · 1d agoResearch

AI lets small actors run state-level hacking campaigns, Anthropic report finds

Anthropic's threat report finds AI let a Russian-aligned espionage campaign, a Chinese student-run exploit foundry and ShinyHunters operators run state-grade operations.

Anthropic's report covering December 2025 to August 2026 details a Russian-aligned espionage campaign by actor 'JackPoterz' — matching Midnight Blizzard behaviors — against more than 20 government and defense organizations across Ukraine and Europe, with AI agents autonomously rebuilding Windows implants to evade detections. Chinese undergraduates ran an automated vulnerability-research foundry using Claude agent swarms, yielding more than a dozen potential zero-days in one month. ShinyHunters-affiliated operators used AI to dump over 2,100 Azure access tokens across 40 corporate tenants in 34 hours. Seven Chinese labs including Alibaba, DeepSeek, Moonshot AI, Xiaomi and Zhipu distilled Claude outputs; Alibaba peaked at nearly 3 million exchanges per day from more than 3,500 fraudulent accounts to train its Qwen systems.

CyberScoopupdated Sep 16, 17:41 UTC · 12h agofirst Sep 10, 19:45 UTC · 6d agoThreat actor in the wild 19 sources2· 1 read

Governments ‘buying time’ in race between innovation, security, national cyber director says

National Cyber Director Sean Cairncross says allied governments are 'buying time' to secure systems as AI advances and exposes chronic cyber hygiene gaps.

Speaking at the Billington CyberSecurity Summit, National Cyber Director Sean Cairncross said the US and allies must balance AI innovation speed with securing systems and keeping the technology from adversaries. He argued AI has not created new cybersecurity problems but surfaced decades-old issues like under-resourced basic cyber hygiene, echoing FBI and CISA officials at the summit. His remarks followed US agencies accusing Chinese AI companies of illegally distilling US frontier models and Anthropic disclosing a fourth AI hacking incident involving one of its models.

CyberScoopSep 10, 13:53 UTC · 6d agoPolicy & legal