[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fMstPfGDM-8MTeczjfQblC_4CqfxmMe7wPnL4PLZ55Rg":3},{"article":4,"iocs":48,"watch_terms":49,"solutions":50,"lesson":53},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":30,"category":31,"article_tags":35},"0d210aa3-e15d-4860-8909-3bfc18299462","AI’s ‘middle class’ has gotten dramatically better at hacking","ai-s-middle-class-has-gotten-dramatically-better-at-hacking-f55b3b","As frontier models and their sandbox escaping exploits dominate front-page news, researchers are increasingly worried about cheaper, more efficient AI models. The post AI’s ‘middle class’ has gotten dramatically better at hacking appeared first on CyberScoop.","Researchers are increasingly concerned about the growing hacking capabilities of mid-tier AI models, often referred to as the \"middle class.\" These models, both proprietary and open-source, are becoming strategically important in offensive security due to their improved performance on exploitation tasks and their lower cost, allowing for more extensive use. While frontier models remain more powerful, their high token costs make them less accessible for many, pushing the focus towards these more economical yet increasingly capable alternatives.","Cheaper AI models are becoming more effective at hacking tasks, researchers warn.","https:\u002F\u002Fcyberscoop.com\u002Fmid-tier-ai-models-hacking-threat\u002F","https:\u002F\u002Fcyberscoop.com\u002Fwp-content\u002Fuploads\u002Fsites\u002F3\u002F2026\u002F08\u002FGettyImages-2257490978-1.jpg","2026-08-13T16:55:02+00:00","2026-08-13T18:00:36.389706+00:00",8,[17,20,22,24,26,28],{"name":18,"type":19},"GLM-5.2","product",{"name":21,"type":19},"Grok 4.5",{"name":23,"type":19},"Opus 4.7",{"name":25,"type":19},"Muse Spark 1.1",{"name":27,"type":19},"GPT 5.5",{"name":29,"type":19},"Mythos Preview","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":30,"icon":32,"name":33,"slug":34},null,"AI Security","ai-security",[36,41,43],{"category":37},{"id":38,"icon":32,"name":39,"slug":40},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":42},{"id":30,"icon":32,"name":33,"slug":34},{"category":44},{"id":45,"icon":32,"name":46,"slug":47},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18,21,23],{"controls":51,"vendors":52},[],[],{"slug":54,"title":55,"body":56,"framework_refs":57,"framework_notes":67},"mid-tier-ai-models-are-rapidly-closing-the-offensive-security-gap","Mid-Tier AI Models Are Rapidly Closing the Offensive Security Gap","The rapid improvement of mid-tier AI models in exploitation tasks represents a significant shift in the threat landscape, lowering the barrier for attackers to conduct sophisticated hacking operations at scale. Unlike frontier models, these 'middle class' AI systems are cost-effective enough to be deployed extensively, enabling threat actors to automate vulnerability discovery and exploitation with minimal investment. This democratization of offensive AI capability means that organizations can no longer assume that only nation-states or well-funded adversaries possess advanced attack tooling. The combination of improved performance and reduced cost accelerates the speed at which vulnerabilities can be found and exploited, compressing the window organizations have to respond.",[58,59,60,61,62,63,64,65,66],"CIS Control 7 – Continuous Vulnerability Management","CIS Control 17 – Incident Response Management","NIST SP 800-53 RA-5 – Vulnerability Monitoring and Scanning","NIST SP 800-53 SI-3 – Malicious Code Protection","NIST CSF DE.CM-8 – Vulnerability Scans","NIST AI RMF – Govern 1.1 (AI Risk Awareness)","MITRE ATT&CK – T1595 Active Scanning","MITRE ATLAS – AI-Assisted Vulnerability Discovery","ITIL – Continual Service Improvement (Threat Landscape Review)",{}]