[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fapo0e678gXxvHG1W-rvhWEseyA8XS8H05BLvvFEqNsM":3},{"article":4,"iocs":52,"watch_terms":53,"solutions":54,"lesson":136},{"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":29,"category":30,"article_tags":34},"c64d4d75-d751-4429-a301-505690e05e0b","Unit 42 warns AI has shifted balance of power from defenders to attackers","unit-42-warns-ai-has-shifted-balance-of-power-from-defenders-to-attackers-fb8fb6","Palo Alto Networks’ threat intelligence team said the early waves of threats riding on agentic AI models have broken in the wild, and organizations are unprepared for what’s coming next. The post Unit 42 warns AI has shifted balance of power from defenders to attackers appeared first on CyberScoop.","Palo Alto Networks' Unit 42 reports that agentic AI models are enabling attackers to exploit vulnerabilities at machine speed, overwhelming traditional defenses. They've observed an attack where AI facilitated the exploitation of 50 applications in under 10 hours, a task previously taking days. AI is now integrated across the entire attack chain, from malware development to social engineering, signaling a significant generational shift in cybersecurity.","Palo Alto Networks warns AI has shifted cybersecurity power to attackers.","https:\u002F\u002Fcyberscoop.com\u002Funit-42-palo-alto-networks-warning-agentic-ai-frontier-models\u002F","https:\u002F\u002Fcyberscoop.com\u002Fwp-content\u002Fuploads\u002Fsites\u002F3\u002F2026\u002F08\u002FGettyImages-2284140530.jpg","2026-08-27T18:31:23+00:00","2026-08-27T20:00:17.29803+00:00",8,[17,20,23,26],{"name":18,"type":19},"Palo Alto Networks","vendor",{"name":21,"type":22},"Unit 42","threat_actor",{"name":24,"type":25},"Mythos","product",{"name":27,"type":28},"AI","technology","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":29,"icon":31,"name":32,"slug":33},null,"AI Security","ai-security",[35,40,45,47],{"category":36},{"id":37,"icon":31,"name":38,"slug":39},"26b0b636-0e31-4db1-bffb-61bdf9f20a58","Supply Chain","supply-chain",{"category":41},{"id":42,"icon":31,"name":43,"slug":44},"6cbdd207-aaa1-4176-9534-e156b125e917","Nation-state","nation-state",{"category":46},{"id":29,"icon":31,"name":32,"slug":33},{"category":48},{"id":49,"icon":31,"name":50,"slug":51},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18,24],{"controls":55,"vendors":130},[56,85,108],{"slug":57,"name":58,"problem":59,"products":60},"identity-threat-detection","Identity threat detection and response (ITDR)","Attackers who log in with real, stolen credentials get noticed.",[61,69,77],{"vendor_slug":62,"vendor_name":63,"vendor_logo":64,"product_slug":65,"product_name":66,"url":67,"description":68},"vectra-ai","Vectra AI","\u002Fvendor-logos\u002Fvectra-ai.png","vectra-ai-platform","Vectra AI Platform","https:\u002F\u002Fwww.vectra.ai\u002Fplatform","Detection of attacker behaviour across network, identity and cloud.",{"vendor_slug":70,"vendor_name":71,"vendor_logo":72,"product_slug":73,"product_name":74,"url":75,"description":76},"crowdstrike","CrowdStrike","\u002Fvendor-logos\u002Fcrowdstrike.png","falcon-identity-protection","Falcon Identity Protection","https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fplatform\u002Fnext-gen-identity-security\u002Fidentity-protection\u002F","Detection of identity attacks against Active Directory and Entra ID, with risk-based MFA.",{"vendor_slug":78,"vendor_name":79,"vendor_logo":80,"product_slug":81,"product_name":82,"url":83,"description":84},"microsoft","Microsoft","\u002Fvendor-logos\u002Fmicrosoft.png","defender-for-identity","Microsoft Defender for Identity","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fbusiness\u002Fsiem-and-xdr\u002Fmicrosoft-defender-for-identity","Detects attacks against on-premises Active Directory and hybrid identities.",{"slug":86,"name":87,"problem":88,"products":89},"endpoint-detection-response","Endpoint detection and response (EDR and XDR)","Malware and hands-on-keyboard attackers on laptops and servers get spotted and stopped.",[90,95,103],{"vendor_slug":78,"vendor_name":79,"vendor_logo":80,"product_slug":91,"product_name":92,"url":93,"description":94},"defender-for-endpoint","Microsoft Defender for Endpoint","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fbusiness\u002Fendpoint-security\u002Fmicrosoft-defender-endpoint","Endpoint detection and response for Windows, macOS, Linux and mobile devices.",{"vendor_slug":96,"vendor_name":97,"vendor_logo":98,"product_slug":99,"product_name":100,"url":101,"description":102},"elastic","Elastic","\u002Fvendor-logos\u002Felastic.png","elastic-security","Elastic Security","https:\u002F\u002Fwww.elastic.co\u002Fsecurity","SIEM and endpoint security built on Elasticsearch, with open detection rules.",{"vendor_slug":70,"vendor_name":71,"vendor_logo":72,"product_slug":104,"product_name":105,"url":106,"description":107},"falcon-insight-xdr","Falcon Insight XDR","https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fplatform\u002Fendpoint-security\u002Ffalcon-insight-xdr\u002F","Endpoint detection and response with extended detection across other security tools.",{"slug":109,"name":110,"problem":111,"products":112},"network-detection-response","Network detection and response (NDR)","Attackers moving between systems inside the network get seen.",[113,121,122],{"vendor_slug":114,"vendor_name":115,"vendor_logo":116,"product_slug":117,"product_name":118,"url":119,"description":120},"corelight","Corelight","\u002Fvendor-logos\u002Fcorelight.png","open-ndr","Corelight Open NDR","https:\u002F\u002Fcorelight.com\u002Fplatform\u002F","Network detection and response based on Zeek and Suricata.",{"vendor_slug":62,"vendor_name":63,"vendor_logo":64,"product_slug":65,"product_name":66,"url":67,"description":68},{"vendor_slug":123,"vendor_name":124,"vendor_logo":125,"product_slug":126,"product_name":127,"url":128,"description":129},"darktrace","Darktrace","\u002Fvendor-logos\u002Fdarktrace.png","darktrace-network","Darktrace \u002F NETWORK","https:\u002F\u002Fwww.darktrace.com\u002Fproducts\u002Fhybrid-network","Network detection and response based on learning normal behaviour.",[131],{"slug":132,"name":18,"logo_path":133,"roles":134},"palo-alto-networks","\u002Fvendor-logos\u002Fpalo-alto-networks.png",[135],"reported_by",{"slug":137,"title":138,"body":139,"framework_refs":140,"framework_notes":151},"ai-powered-attacks-exploit-vulnerabilities-at-machine-speed-outpacing-human-defenders","AI-Powered Attacks Exploit Vulnerabilities at Machine Speed, Outpacing Human Defenders","Agentic AI has fundamentally changed the threat landscape by enabling attackers to discover and exploit vulnerabilities across dozens of applications in hours rather than days, collapsing the window of time defenders traditionally relied upon to respond. AI is now embedded across the entire attack chain — from automated reconnaissance and malware development to sophisticated social engineering — making attacks faster, cheaper, and more scalable than ever before. This marks a generational shift: defenses built around human-speed response cycles are structurally insufficient against machine-speed adversaries. Organizations that have not modernized their detection and response capabilities with equally intelligent, automated defenses are now at a severe structural disadvantage.",[141,142,143,144,145,146,147,148,149,150],"CIS Control 7: Continuous Vulnerability Management","CIS Control 13: Network Monitoring and Defense","CIS Control 17: Incident Response Management","NIST CSF ID.RA-1: Asset vulnerabilities are identified and documented","NIST CSF DE.CM-1: The network is monitored to detect potential cybersecurity events","NIST CSF RS.RP-1: Response plan is executed during or after an incident","NIST SP 800-137: Information Security Continuous Monitoring (ISCM)","NIST SP 800-61: Computer Security Incident Handling Guide","MITRE ATT&CK: TA0043 Reconnaissance, TA0001 Initial Access (AI-accelerated techniques)","ITIL 4: Problem Management — proactive identification of emerging threat patterns",{}]