[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fc62UJJrN9Ca_q4QwuzFt5fJa4xvpgFB7DCaIGI5pCHw":3},{"article":4,"iocs":55,"watch_terms":56,"solutions":57,"lesson":151},{"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":32,"category":33,"article_tags":37},"4279e7c0-799b-400d-909c-0b87cf7a9b4d","Microsoft says threat actors are ahead in the early AI race","microsoft-says-threat-actors-are-ahead-in-the-early-ai-race-8b472b","Microsoft says cyberattackers are currently benefiting from artificial intelligence faster than defenders, allowing threat actors to speed up vulnerability discovery, malware development, and post-compromise activity while security teams struggle to keep pace. [...]","Microsoft's 2026 Digital Defense Report indicates that threat actors are currently leveraging AI more effectively than defenders, leading to faster vulnerability discovery, malware development, and post-compromise activities. This AI advantage allows attackers to reduce the time, expertise, and cost associated with exploiting weaknesses, while defenders struggle to keep pace with remediation. The report highlights that the median time between vulnerability discovery and weaponization has fallen below 24 hours, and nation-state actors are already integrating AI into their operations for various stages of attacks.","Microsoft reports threat actors are using AI faster than defenders, accelerating attacks.","https:\u002F\u002Fwww.bleepingcomputer.com\u002Fnews\u002Fsecurity\u002Fmicrosoft-says-threat-actors-are-ahead-in-the-early-ai-race\u002F","https:\u002F\u002Fwww.bleepstatic.com\u002Fcontent\u002Fhl-images\u002F2025\u002F10\u002F23\u002FAI-2.jpg","2026-10-01T19:32:47+00:00","2026-10-01T20:00:07.89169+00:00",8,[17,20,23,26,28,30],{"name":18,"type":19},"Microsoft","vendor",{"name":21,"type":22},"Artificial Intelligence","technology",{"name":24,"type":25},"Chinese state-sponsored actors","threat_actor",{"name":27,"type":25},"Russian state-sponsored threat actors",{"name":29,"type":25},"North Korean remote IT workers",{"name":31,"type":25},"North Korean threat actors","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":32,"icon":34,"name":35,"slug":36},null,"AI Security","ai-security",[38,43,48,50],{"category":39},{"id":40,"icon":34,"name":41,"slug":42},"6cbdd207-aaa1-4176-9534-e156b125e917","Nation-state","nation-state",{"category":44},{"id":45,"icon":34,"name":46,"slug":47},"80544778-fabb-4dcd-aa35-17492e5dcf4f","Vulnerabilities","vulnerabilities",{"category":49},{"id":32,"icon":34,"name":35,"slug":36},{"category":51},{"id":52,"icon":34,"name":53,"slug":54},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18],{"controls":58,"vendors":145},[59,88,117],{"slug":60,"name":61,"problem":62,"products":63},"vulnerability-management","Vulnerability scanning and prioritisation","You know which systems are vulnerable, and which ones to fix first.",[64,72,80],{"vendor_slug":65,"vendor_name":66,"vendor_logo":67,"product_slug":68,"product_name":69,"url":70,"description":71},"rapid7","Rapid7","\u002Fvendor-logos\u002Frapid7.png","insightvm","Rapid7 Exposure Command (InsightVM)","https:\u002F\u002Fwww.rapid7.com\u002Fproducts\u002Finsightvm\u002F","Vulnerability scanning and risk-based prioritisation; InsightVM is now part of Exposure Command, alongside attack surface and cloud risk.",{"vendor_slug":73,"vendor_name":74,"vendor_logo":75,"product_slug":76,"product_name":77,"url":78,"description":79},"axonius","Axonius","\u002Fvendor-logos\u002Faxonius.png","axonius-exposures","Axonius Exposures","https:\u002F\u002Fwww.axonius.com\u002Fplatform\u002Fexposures","Brings findings from different scanners together with asset and business context, to show what matters most and track fixes to the end.",{"vendor_slug":81,"vendor_name":82,"vendor_logo":83,"product_slug":84,"product_name":85,"url":86,"description":87},"tenable","Tenable","\u002Fvendor-logos\u002Ftenable.png","tenable-vulnerability-management","Tenable Vulnerability Management","https:\u002F\u002Fwww.tenable.com\u002Fproducts\u002Fvulnerability-management","Cloud-based vulnerability scanning and prioritisation, built on Nessus.",{"slug":89,"name":90,"problem":91,"products":92},"patch-management","Automated patch management","Known holes get closed in days, not months.",[93,101,109],{"vendor_slug":94,"vendor_name":95,"vendor_logo":96,"product_slug":97,"product_name":98,"url":99,"description":100},"action1","Action1","\u002Fvendor-logos\u002Faction1.png","action1-patch-management","Action1 Patch Management","https:\u002F\u002Fwww.action1.com\u002F","Cloud-native patch management for Windows, macOS and third-party applications.",{"vendor_slug":102,"vendor_name":103,"vendor_logo":104,"product_slug":105,"product_name":106,"url":107,"description":108},"ivanti","Ivanti","\u002Fvendor-logos\u002Fivanti.png","neurons-patch-management","Ivanti Neurons for Patch Management","https:\u002F\u002Fwww.ivanti.com\u002Fproducts\u002Fivanti-neurons-for-patch-management","Risk-based patch management for operating systems and third-party applications.",{"vendor_slug":110,"vendor_name":111,"vendor_logo":112,"product_slug":113,"product_name":114,"url":115,"description":116},"ninjaone","NinjaOne","\u002Fvendor-logos\u002Fninjaone.png","ninjaone-patch-management","NinjaOne Patch Management","https:\u002F\u002Fwww.ninjaone.com\u002Fpatch-management\u002F","Automated patching of operating systems and third-party applications from the cloud.",{"slug":36,"name":118,"problem":119,"products":120},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[121,129,137],{"vendor_slug":122,"vendor_name":123,"vendor_logo":124,"product_slug":125,"product_name":126,"url":127,"description":128},"palo-alto-networks","Palo Alto Networks","\u002Fvendor-logos\u002Fpalo-alto-networks.png","prisma-airs","Prisma AIRS","https:\u002F\u002Fwww.paloaltonetworks.com\u002Fai-security\u002Fprisma-airs","Security for AI applications, models and agents, including runtime protection against prompt injection.",{"vendor_slug":130,"vendor_name":131,"vendor_logo":132,"product_slug":133,"product_name":134,"url":135,"description":136},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","boomi-agentstudio","Boomi Agentstudio","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fagentstudio\u002F","Agent builder whose Agent Control Tower registers and monitors Boomi agents and agents on Amazon Bedrock, Microsoft Copilot and other platforms, keeps audit logs and can switch agents off where the provider allows it.",{"vendor_slug":138,"vendor_name":139,"vendor_logo":140,"product_slug":141,"product_name":142,"url":143,"description":144},"hiddenlayer","HiddenLayer","\u002Fvendor-logos\u002Fhiddenlayer.png","hiddenlayer-ai-security","HiddenLayer AI Security Platform","https:\u002F\u002Fhiddenlayer.com\u002F","Model scanning, AI red teaming and runtime protection for AI applications.",[146],{"slug":147,"name":18,"logo_path":148,"roles":149},"microsoft","\u002Fvendor-logos\u002Fmicrosoft.png",[150],"reported_by",{"slug":152,"title":153,"body":154,"framework_refs":155,"framework_notes":164},"ai-gives-attackers-the-edge-defenders-must-accelerate-to-keep-pace","AI Gives Attackers the Edge: Defenders Must Accelerate to Keep Pace","Threat actors are outpacing defenders by leveraging AI to dramatically compress the vulnerability exploitation lifecycle, with weaponization now occurring in under 24 hours of discovery. This asymmetry means that traditional patching cycles, manual threat analysis, and slow remediation workflows are no longer viable against AI-augmented adversaries. Nation-state actors in particular are integrating AI across all attack phases — from reconnaissance to post-compromise activity — lowering the barrier to sophisticated attacks. The core problem is not just a technology gap, but an organizational and process gap: defenders must adopt AI-assisted defenses at the same pace attackers are deploying AI-assisted offenses. Failing to close this gap leaves organizations perpetually reactive and exposed.",[156,157,158,159,160,161,162,163],"CIS Control 7 – Continuous Vulnerability Management","CIS Control 17 – Incident Response Management","NIST CSF DE.CM-8 – Vulnerability Scans","NIST SP 800-137 – Continuous Monitoring","NIST AI RMF – AI Risk Management Framework (GOVERN 1.1, MANAGE 2.2)","MITRE ATT&CK – AI-assisted Reconnaissance and Exploitation Techniques","ISO\u002FIEC 27001 – A.12.6 Technical Vulnerability Management","NIST SP 800-40 – Guide to Enterprise Patch Management",{}]