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Deploy agentic cyber capabilities with confidence. AI infrastructure for cybersecurity.

Joined August 2010
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⚫ Kimi K3.1 Pro ⚫ - Landed at the top of the leaderboard at #2, as well as on our value frontier - Kimi model family still showing weaker performance on SAST and binary exploitation tasks
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🔵 GPT 5.6 Sol (Daybreak Blue) 🔵 - Performance did not improve from the last model version; landed slightly lower to 5.5 - Soft refusals occurred on network operations tasks; understandable for a Daybreak Blue model, given it is tuned to allow for defensive cyber tasks, not offensive - Lands on our value frontier, marked by its notably lower cost compared to GPT-5.5
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🟠 MiniMax M3.1 Flash 🟠 - Secured the top spot among Flash models, and landed at #13 on the general leaderboard - Improved performance (versus other Flash models) on SAST and network ops tasks - Landed on the value frontier, meaning it’s performance is great relative to its cost
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Three new models have been added to DreadIndex (@MiniMax_AI M3.1 Flash, @OpenAI GPT 5.6 Sol, and @Kimi_Moonshot K3.1 Pro), plus a new dashboard to explore how we score and analyze model performance. 🔗: dreadnode.io/research/dreadi… 🧵: Observations from the latest round of evals
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dreadnode retweeted
CrowdStrike debuted its next set of major moves to advance the AI-powered capabilities of cyber defenders this week amid increasing urgency around protecting against fast-moving attacks that are using the same agentic-driven technologies. Key announcements from the cybersecurity giant at its Fal.Con 2026 Europe conference included the unveiling of two AI security acquisitions: @dreadnode and @fiddler_ai, along with the launch of new capabilities including controls for rogue agents and detection for AI-powered insider threats. Notably, @CrowdStrike said that the planned acquisitions and new capabilities will provide a boost to the company’s SafeMind frontier AI models and harnesses, which were unveiled at Fal.Con 2026 in September. @CRN cybersecurity reporter and Senior Editor @KyleAlspach details CrowdStrike’s five biggest moves at Fal.Con 2026 Europe here: crn.com/news/security/2026/c…
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dreadnode retweeted
We are excited to announce that @CrowdStrike has signed a definitive agreement to acquire @dreadnode, the leader in cybersecurity evaluations for frontier AI The company will join CrowdStrike’s Cyber Superintelligence Lab to combine AI security research with autonomous cyber defense for the first time 🔥 Congrats to Brad Palm (@bradpalmtree), Will Pearce (@moo_hax), Nick Landers (@monoxgas) and the team!
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We're in the heyday of AI-powered attacks, and Dreadnode is joining @CrowdStrike. Our CEO @bradpalmtree and CTO @monoxgas on why now, why CrowdStrike's Cyber Superintelligence Lab is the right home, and what got us here: dreadnode.io/research/dreadn…
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dreadnode retweeted
CrowdStrike has signed a definitive agreement to acquire Dreadnode. As part of the Falcon platform and @CrowdStrike's Cyber Superintelligence Lab, we'll bring automated AI security testing to every enterprise, so teams can find and fix weaknesses in their models and agents before they reach production. We've always run Dreadnode like a lab, and now we get to build with one of the largest security companies in the world. This isn't an exit for us. It's a call-up to the big leagues, with more resources and a higher bar. Thank you to our customers, partners, and community for getting us here. The mission doesn't change: ensure AI strengthens defenders faster than it strengthens their adversaries. Read the full announcement ⬇️
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dreadnode retweeted
I'm extremely excited to join CSIL and continue working on the hardest problems in this space. The last 3 years with @moo_hax have been amazing. To our crew: the largest thank you to each any every one of you. Best team any founder could ask for. Let's go crush.
CrowdStrike has signed a definitive agreement to acquire Dreadnode. As part of the Falcon platform and @CrowdStrike's Cyber Superintelligence Lab, we'll bring automated AI security testing to every enterprise, so teams can find and fix weaknesses in their models and agents before they reach production. We've always run Dreadnode like a lab, and now we get to build with one of the largest security companies in the world. This isn't an exit for us. It's a call-up to the big leagues, with more resources and a higher bar. Thank you to our customers, partners, and community for getting us here. The mission doesn't change: ensure AI strengthens defenders faster than it strengthens their adversaries. Read the full announcement ⬇️
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During the Fal.Con Europe keynote this morning, @BartleyR and @George_Kurtz announced @CrowdStrike's intent to acquire Dreadnode. Watch it on-demand here: youtube.com/watch?v=5_H7a8L2… For those in Barcelona for the event this week, be sure to swing by the CrowdStrike booth to congratulate the crew and get a demo of Dreadnode. Hope to see you there!
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Live from Barcelona at Fal.Con Europe. Watch the full keynote: youtube.com/watch?v=5_H7a8L2…
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Dreadnode 🤝 CrowdStrike Learn more in this @WSJ exclusive: wsj.com/pro/cybersecurity/cr…
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CrowdStrike has signed a definitive agreement to acquire Dreadnode. As part of the Falcon platform and @CrowdStrike's Cyber Superintelligence Lab, we'll bring automated AI security testing to every enterprise, so teams can find and fix weaknesses in their models and agents before they reach production. We've always run Dreadnode like a lab, and now we get to build with one of the largest security companies in the world. This isn't an exit for us. It's a call-up to the big leagues, with more resources and a higher bar. Thank you to our customers, partners, and community for getting us here. The mission doesn't change: ensure AI strengthens defenders faster than it strengthens their adversaries. Read the full announcement ⬇️
CrowdStrike has signed a definitive agreement to acquire @dreadnode, a leader in Automated AI Security Testing. This planned acquisition will help enterprises build AI trust by finding and fixing weaknesses in AI models, applications, and agents before deployment. Read to learn more: crwdstr.ke/6014BHaOri
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dreadnode retweeted
Prism users 👀 ➡️ ALFRED GitHub - dreadnode/alfred: Agentic Latex for Researching, Editing & Drafting · GitHub share.google/Mi6WuGjgmhJP9x5…
People are saying OpenAI is killing this or that. Meanwhile, Prism is shut down, and @overleaf is still happily there.
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5 minutes until @VincentAbruzzo and @shanejcaldwell hit the stage at @unpromptedconf 🏴‍☠️
Heading to @unpromptedconf next week? Catch @VincentAbruzzo and @shanejcaldwell on stage Wednesday, October 28 for their talk on using #ScopeBench to measure how effective Jev is when used as a monitor to keep agentic harnesses in scope.
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dreadnode retweeted
Working on more model runs for DreadIndex this week, try to get them out soon for you all. @dreadnode
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dreadnode retweeted
When working on agent control solutions, you should publish what the cost in capability was. If you don’t know, your customers will definitely let you know!
Production-tier capabilities have arrived, and production-tier scope adherence is the final barrier to widescale deployment. Using Jev as a recent and unique model system example, we ran the model as a monitor in ScopeBench to test how effective it for keeping agents in scope. We also test for the "safety tax" - seeing how these safety solutions impact raw hacking ability, some observations: - Jev alone: more scope adherence for about $0.003 per run, minor hits to capability. - Jev escalating to GLM: nearly all the capability back, plus more scope adherence. - Adding Opus 4.8: worse results at a higher cost. @VincentAbruzzo and @shanejcaldwell are presenting on this case study, taking Jev for a joyride at @unpromptedconf tomorrow afternoon. Won't make it? Be sure to check out the write-up preview to learn more about the ScopeBench methodology and key learnings from their experimentation: dreadnode.io/research/scopeb…
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Production-tier capabilities have arrived, and production-tier scope adherence is the final barrier to widescale deployment. Using Jev as a recent and unique model system example, we ran the model as a monitor in ScopeBench to test how effective it for keeping agents in scope. We also test for the "safety tax" - seeing how these safety solutions impact raw hacking ability, some observations: - Jev alone: more scope adherence for about $0.003 per run, minor hits to capability. - Jev escalating to GLM: nearly all the capability back, plus more scope adherence. - Adding Opus 4.8: worse results at a higher cost. @VincentAbruzzo and @shanejcaldwell are presenting on this case study, taking Jev for a joyride at @unpromptedconf tomorrow afternoon. Won't make it? Be sure to check out the write-up preview to learn more about the ScopeBench methodology and key learnings from their experimentation: dreadnode.io/research/scopeb…
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The Dreadnode Platform has a new look. Projects are now a destination, and the Workbench puts all your work in one place. Plus two new beta features: Chat and Workflows. Log in and give it a spin: app.dreadnode.io/
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dreadnode retweeted
🎯SCOPEBENCH WORLD TOUR CONTINUES🎯 Been a minute since I've been in SF. Stoked to be there with @VincentAbruzzo. Using ScopeBench, I think we've found a way to compare control harnesses easily and cheaply, and Jev is a perfect test case!
Heading to @unpromptedconf next week? Catch @VincentAbruzzo and @shanejcaldwell on stage Wednesday, October 28 for their talk on using #ScopeBench to measure how effective Jev is when used as a monitor to keep agentic harnesses in scope.
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