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⚡ How to reduce alert overload in Cortex XSOAR with #ANYRUN#. #ANYRUN# integration allows XSOAR playbooks to submit suspicious files and URLs to Interactive Sandbox automatically — verdicts and behavioral context land in the incident without analyst involvement. TI Lookup enriches indicators from within the incident. TI Feeds keep detection current as infrastructure rotates.  🎯 Analysts focus on high-priority incidents without the manual overhead that slows them down. More use cases:
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⚡ The gap between having threat intelligence and using it effectively is where most SOCs lose time. #ANYRUN# and @elastic Security are hosting a webinar on making it a working part of daily operations. 📅 Wed, September 30 Stay for live Q&A. Register:
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🤝 We’re at @rootedcon Valencia 2026! Come say hi to the #ANYRUN# team and talk about the real work behind SOC & MSSP growth 💪 #RootedVLC#
⚡ Fast, precise alert triage needs seamless context right where you work. #ANYRUN’s# integration with @SentinelOne adds live threat intel & sandbox verdicts directly into your workspace. Accelerate your daily incident response and eliminate extra work 👇
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🏭 A case that exposes the limits of automated defenses from a leading German manufacturer. A phishing email passed automated mail gateway filters and static antivirus. The decryption password was hidden inside the PDF, out of reach for any scanner. What stopped it from becoming a wider incident was having the full attack context. ⚡ #ANYRUN# Interactive Sandbox provided the full chain: Outlook → browser → malware execution. The team removed the email from all mailboxes before it spread. The case became an internal training reference. Read the full story:
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✈️ We’re heading to @rootedcon to talk about real SOC & MSSP work, with growth in mind. Meet our team to see how #ANYRUN# can support day-to-day security operations and the outcomes your business depends on. 📆 September 18. See you in Valencia! #RootedVLC#
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[🎥] [IVE ON] AN-YOUNG MEDIA EXHIBITION BEHIND ▶️ #IVE# #아이브# #ANYUJIN# #안유진# #JANGWONYOUNG# #장원영# #IVE_ON# #AnYoung_exh#
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Nokia $NOK is expanding AI-RAN trials with operators across North America, Europe, Asia-Pacific and the Middle East as carriers move from early evaluations into lab and live-field testing. The platform combines Nokia’s anyRAN software with $NVDA’s Aerial RAN Computer and has delivered more than 20% improvement in spectral efficiency, according to Nokia. New and ongoing partners include A1 Group, Chunghwa Telecom, du, e&, Mobily, stc, TPG Telecom, Zain Saudi and NTT DOCOMO, with earlier evaluations involving T-Mobile, SoftBank and Indosat. Nokia and Nvidia are also expanding their AI-RAN collaboration as the industry moves toward AI-native 5G and 6G networks.
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Please I don’t EVER want to see anyone say “Crash is gonna repeat the Base run again on $Gram” That is so disrespectful to what is gonna happen on Telegrams chain Pavel @durov, @ton_blockchain, and me as the sprinkle on top Are gonna CRUSH any run that was ever made on Base
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It's well known that agents hack benchmark rewards. The usual response is a patch for each task that gets exploited. In a study of 456 adjudicated trajectories from more than 31,000 public agent runs, 69% contained at least one reward-hacking episode. Most of the exploits appeared mid-run after legitimate work. BenchShield models each evaluation as a finite set of reward-relevant events. A static taint analysis finds hack paths from the task package before any run. A runtime pass then uses evidence from the benchmark infrastructure to decide whether the agent actually used one. On Terminal-Bench 3, SkillsBench and ClawsBench, the static pass recovers 77 to 100% of exploit chains, against 23 to 94% for an agentic scanner, at up to 65% lower cost. Runtime detection reaches 96% accuracy, against 36% for an LLM reading the transcript. Paper:
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