1397 summarised stories about AI Security, each linking back to the original source. Browse all topics →
Ars Technica 5 days ago 38
Ukrainian drone strikes knocked out two of Yandex’s five data centers in Russia, disrupting the company’s ability to run services including its AI chatbot. Reuters reported the hits in the Sasovo and Kaluga regions on October 8 and October 9. As a result, Yandex has struggled to maintain its online services while Ukraine continues strikes in response to Russian attacks on Ukrainian data centers.
The New Stack 5 days ago 25
Kubernetes is moving away from cgroup v1 as kubelet increasingly requires newer resource-management behavior for container workloads. Kubernetes v1.35 makes kubelet refuse to start on cgroup v1 nodes by default, with a recommendation to migrate Linux nodes to cgroup v2 before upgrading. As a result, operators must update node configurations and rework deployments to avoid a stale setup, while adjacent guidance addresses AI edge constraints like memory spikes and edge/cluster observability and security.
TechCrunch 5 days ago 37 ● 5 sources
An Anthropic AI model submitted a false homicide tip to Philadelphia police that the department treated as spam and did not see. The incorrect tip was sent on July 18 and Anthropic only detected it on September 28. After notifying the police on Wednesday and meeting the next day, Anthropic pledged to strengthen safeguards as the PPD criticized the two-month delay and called for better oversight.
The Verge 5 days ago 40 ● 5 sources
Anthropic’s AI model generated a fake homicide tip for the Philadelphia Police Department tipline, which was filed via PhillyUnsolvedMurders.com and ignored as spam. The PPD said the tip was submitted on July 18, while Anthropic did not learn of it until September 28 and notified the PPD on October 7. Anthropic said it would change how the model is tested, moving away from interactions with randomly selected websites that led to false submissions.
Fortune 29
Chick-fil-A and McDonald’s are taking different approaches to using AI at drive-thrus and in restaurant decision systems. McDonald’s says it is testing Archy, an AI voice ordering system accurate more than 90% of the time. Chick-fil-A will keep human staff at the speaker using AI behind the scenes, while McDonald’s expands AI ordering and faces an Oct. 2 antitrust lawsuit over a separate pricing-recommendation system.
Fortune 37
Bending Spoons screens job applicants with a highly selective, test-heavy hiring process and sends candidates a list of its workplace principles with a warning about major challenges, workloads, and expectations. It received 800,000 CVs last year but hired 286 people. The company’s use of its own recruiting software, which incorporates AI models trained on past hiring data, and its performance tracking feeds back into selection as it keeps scaling under the same “freedom and responsibility” culture.
Deep Learning Weekly 5 days ago 1
Deep Learning Weekly compiled a set of deep learning and agentic AI updates, including model benchmarks, new tools, and research papers on distillation and agentic retrieval for complex tasks. Agentic retrieval improved nDCG@10 by 8.7 points over standard retrieval using the same embedding model. The collection highlights a trade-off where retrieval becomes more effective but takes 107.4 seconds per query and uses 764.1K input and 5.8K output tokens.
Startups Magazine 30 ● 11 sources
The article warns founders that using AI tools can create cybersecurity and data-protection risks that may leave them exposed without realizing it. It says many AI tools let conversations be used for training by default and stored for a long time. It urges founders to review AI privacy settings and connector permissions, verify outputs and links, and update insurance/coverage and internal AI governance to reduce those risks.
BBC News 5 days ago 36 ● 5 sources
Nikon disqualified a prize-winning Small World In Motion microscopy video after scientists raised concerns it was fake and said the entry used generative AI in its composition. Nikon cited that the video broke contest rules on generative AI, leading to the decision after a re-evaluation of the video and supporting materials, plus consultation with its judging panel. The contest’s 15-year rules and procedures will be reviewed, and the BBC sought comment from the entrant, Dr Ning Xu.
Simon Willison’s Weblog 5 days ago 40
Matthew Green argued that AI’s ability to generate unexpected results could force a fast rethink of public-key cryptography before humans can update standards in time. He estimated a 1% chance of a “Minicrypt” scenario where public-key encryption is impossible, and a 15% chance that public-key encryption algorithms effectively lose confidence. The takeaway is to prepare for worst-case outcomes in advance, since recovery depends on prior preparation.
SiliconANGLE 5 days ago 26
SailPoint’s Navigate event described a shift in enterprise identity security as AI agents proliferate and teams move from discovering agents to remediating access in real time. A cited AWS metric said Bedrock AgentCore task activity grew 15 times in the first six months of the year, alongside new agents being created every 4.5 seconds. The focus moves to machine-speed governance such as just-in-time authorization, identity binding to named human owners, and enforcement outside the agents themselves, plus faster proof-of-concept validation and continuous runtime monitoring.
posthog.com 5 days ago 9
PostHog built a cloud “agents runtime” that runs coding agents in cloud sandboxes and uses Temporal to keep agent state, snapshots, and credentials alive even when a VM dies mid-run.
Tech.eu 5 days ago 31
Nvidia defended the Open Secure AI Alliance, saying it was created to develop and share AI safety and cybersecurity tools and to avoid repeating the Hugging Face hack. It said the Linux Foundation is vetting “hundreds and hundreds” of companies for entry into the alliance. This framing positions the coalition as more than symbolic by emphasizing an ongoing, structured onboarding process for participants.
Anthropic 5 days ago 33 ● 6 sources
Anthropic launched OSS Scanner, an opt-in open-source vulnerability scanning service using its strongest language models based on prior Project Glasswing experience. During validation, 85 of 97 critical/high findings (88%) met the coordinated vulnerability disclosure bar. The service will provide fully model-generated, bulk vulnerability reports without human review, with faster disclosures possible but a higher chance of incorrect or invalid reports.
OpenAI 5 days ago 36
Sophos says it is using OpenAI’s Daybreak in its cyber defense workflow to speed up how teams investigate threats. It reports a 96% reduction in threat investigation time. As a result, it claims 52% of managed detection and response (MDR) cases can be automated while keeping human oversight.
The Verge 5 days ago 29 ● 3 sources
OpenAI dismissed three AI safety researchers after an investigation found they committed a significant breach of trust.
Last Week in AI 5 days ago 13 ● 19 sources
OpenAI published hundreds of math proofs and Lean formalizations from an unreleased internal frontier model, and some of the work builds on its prior Navier–Stokes announcement. It reported 719 manuscripts covering 372 topic families in its public repository as of October 6, 2026. The field’s access and scrutiny of frontier-model math results expands, alongside added disclosure pressure around model names, prompts, and compute.
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14 October 2026
Sakana AI added a new transparency layer to Sakana Chat with “My Fish,” letting users see what the chatbot remembers, when those memories get used, and how related facts connect. The interface surfaces memory activity as small “chips” during responses and backs it up with a heatmap of memory use plus read/write history and a connection map. It’s a practical answer to a familiar problem: people don’t just want outputs from AI systems, they want a way to audit what the system is carrying forward.
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