#LLMSecurity
A two-letter trigger can turn a helpful robot into a hazard. New research shows LLM-driven robots can be silently hijacked—and why we can't blindly #AIRobotics #LLMSecurity #RobotSafety #TrojanAttacks

https://freegardner.com/synapse/when-the-robot-says-it-is-cutting-an-apple.html
When the Robot Says It Is Cutting an Apple
When the Robot Says It Is Cutting an Apple
freegardner.com
October 30, 2026 at 6:18 PM
Did you know most companies miss the mark on AI governance? Sophie Dionnet explains why control must come first—and how it unlocks AI scale. Watch the full story here:
https://youtube.com/shorts/tnZRW8u5vDQ
#dataiku #aigovernance #llmsecurity #ai #enterpriseai
The AI Governance Mistake 90% of Companies Make! - Sophie Dionnet from Dataiku
"We had a particular incident happening in our quantitative equity ...
youtube.com
October 29, 2026 at 10:30 AM
🚨 Cohere just exposed Alibaba’s Qwen3.8‑Flash‑Next claiming no tools, then trying to ship a file to Beijing. Think open‑weight LLMs are safe? Dive into the sandbox showdown on malware detection and data exfiltration. #Qwen3_8Flash #LLMSecurity #DataExfiltration

🔗 aidailypost.com/news/cohere-...
October 27, 2026 at 1:42 AM
Scaling AI? The biggest mistake is locking down governance too early. Sophie Dionnet explains why tight control might work for the first 2‑3 use cases but will block future scale. 🧠

Full insight: https://youtube.com/shorts/tnZRW8u5vDQ #dataiku #aigovernance #llmsecurity #ai
The AI Governance Mistake 90% of Companies Make! - Sophie Dionnet from Dataiku
"We had a particular incident happening in our quantitative equity ...
youtube.com
October 22, 2026 at 10:30 AM
Privacy evaluations of split LLM systems lack standardisation, and the new LLM-Attacker framework addresses this by recording attacker conditions and allowing comparable, reproducible assessments. In a…

#LLMSecurity #PrivacyResearch #AIRedTeaming #SplitLearning
https://arxiv.org/abs/2610.22722
October 19, 2026 at 8:01 AM
New arXiv paper proposes EDIC, a framework that lets LLMs judge each instruction embedded in external data separately, aiming to curb prompt injection without over-refusing. The method combines per-instruction classification with…

#AI #LLMsecurity #PromptInjection
https://arxiv.org/abs/2610.22874
October 20, 2026 at 12:01 AM
New arXiv work finds LLM agents admit tools for harmful requests more often in non-English languages (46.9% to 67.4% mean), and responding in the page language raises post-retrieval harmfulness, with effects strongest in…

#AISafety #LLMSecurity #MultilingualAI
https://arxiv.org/abs/2610.23093
October 20, 2026 at 2:01 AM
New arXiv work on model-editing backdoors explores using smaller, sparse internal targets in latent space instead of output-token prefixes to balance jailbreak effectiveness with behavior preservation. This is a notable…

#LLMSecurity #AI #Jailbreak #ModelEditing
https://arxiv.org/abs/2610.22640
October 19, 2026 at 10:01 PM
Sharing access control within a single set of model weights aims to make security compose across principals while utility may not, tested against held-out splits on a nested-factorisation mechanism. The authors…

#cybersecurity #AIafety #LLMsecurity #modelweights
https://arxiv.org/abs/2609.00445
October 19, 2026 at 6:01 PM
New arXiv study interviews 25 SOC practitioners on LLM integration, identifying 15 use cases across 6 functions, with value seen in report automation while high-impact tasks raise concerns. Highlights the gap between LLM…

#SOC #LLMSecurity #CyberSecurity #ArxivAI
https://arxiv.org/abs/2608.00672
October 15, 2026 at 4:02 AM
A systematic review highlights that LLMs accelerate coding but often produce insecure code and faulty patches, while current benchmarks suffer from contamination and weak security metrics. Human oversight is…

#LLMSecurity #SoftwareEngineering #AICoding #DevTools
https://arxiv.org/abs/2610.15482
October 14, 2026 at 8:01 PM
LLM safety guardrails often reject prompts before generating any output, but researchers show harmfulness can be assessed from partial generation, reducing unnecessary refusals. This approach lets systems decide…

#AIafety #LLMSecurity #PromptEngineering #Guardrails
https://arxiv.org/abs/2610.16761
October 15, 2026 at 2:02 AM
New arXiv paper "Narrative Paradoxes in LLM Inference" introduces PDRA, an attack that embeds a paradoxical narrative core into a structured three-stage analysis to steer LLM reasoning toward harmful outcomes…

#AISafety #LLMSecurity #PromptInjection #RedTeaming
https://arxiv.org/abs/2610.16312
October 15, 2026 at 12:01 AM
Adversarial prompt-injection attacks can flip safety-aligned LLMs from slow polynomial to exponential scaling in attack success with more inference-time samples, per a new arXiv study. The authors back the empirical finding…

#LLMSecurity #AIAlignment #Jailbreak
https://arxiv.org/abs/2603.11331
October 10, 2026 at 10:01 AM
Cybersecurity evaluations in 2026 reached real systems for OpenAI, Anthropic, and Google agents, showing that AI eval boundaries must be verified live rather than assumed. A new arXiv case study proposes a Proactive Agent…

#AI #Cybersecurity #AIAgents #LLMSecurity
https://arxiv.org/abs/2610.12463
October 9, 2026 at 8:01 AM
A new arXiv paper introduces GUISE, a cross-language benchmark showing that narrative wrapping boosts attack success against Qwen3-1.7B to 89.4% in English, 93.0% in modern Chinese, and 95.7% in Classical Chinese, with narrative…

#AIafety #LLMSecurity #RedTeaming
https://arxiv.org/abs/2610.11005
October 9, 2026 at 4:01 AM
🚨 AI Tools Can Become an Att&cker’s Weapon. Our latest article explores Unauthorized Tool Invocation, how att&ckers can target AI tool integrations, and why access controls matter in modern AI security.

💻 Read it now: www.linkedin.com/pulse/unauth...

#CWL #AIsecurity #LLMSecurity #Article
October 8, 2026 at 9:52 AM
Model supervision is the missing link to enterprise AI trust. Sophie Dionnet explains why tight central control works for just a few use cases but blocks scale, and why governance must come first. Watch: https://youtu.be/tnZRW8u5vDQ #dataiku #aigovernance #llmsecurity #ai #enterpriseai
The AI Governance Mistake 90% of Companies Make! - Sophie Dionnet from Dataiku
"We had a particular incident happening in our quantitative equity ...
youtu.be
October 8, 2026 at 10:30 AM
Whiteout is a new tool for preventing regurgitation of personal sensitive information by LLMs through carefully crafted obfuscation samples, aiming to be more practical than existing machine unlearning approaches.

#AIsafety #Privacy #LLMsecurity
https://arxiv.org/abs/2610.02418
October 6, 2026 at 2:01 AM