[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f6d-8Sy1rGvOc4lafRtjVVO0NBsO9787NNtphSfrpmsg":3},{"article":4,"iocs":44,"watch_terms":45,"solutions":46,"lesson":135},{"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":26,"category":27,"article_tags":31},"c71f3574-b916-4950-881e-0cfdb9590727","Autonomous attack agent in 'Skynet mode' hijacks other models to carry out its evil deeds","autonomous-attack-agent-in-skynet-mode-hijacks-other-models-to-carry-out-its-evi-9b482d","Designed to carry out 100,000 steps without human approval","Threat actors have developed an autonomous AI agent, dubbed 'Skynet mode,' capable of hijacking exposed AI models to conduct attacks. This agent can perform up to 100,000 steps without human intervention, including database theft, credential harvesting, remote code execution, and cryptocurrency mining. While researchers have captured its instruction set and tested it, there is currently no evidence of its use in real-world attacks.","Autonomous AI agent hijacks other models for attacks, capable of 100,000 steps without approval.","https:\u002F\u002Fwww.theregister.com\u002Fsecurity\u002F2026\u002F10\u002F24\u002Fautonomous-attack-agent-in-skynet-mode-hijacks-other-models-to-carry-out-its-evil-deeds\u002F5305215","https:\u002F\u002Fimage.theregister.com\u002F?imageId=5305225&width=800","2026-10-24T13:02:00+00:00","2026-10-24T14:00:23.502884+00:00",8,[17,20,23],{"name":18,"type":19},"GPT-4o","product",{"name":21,"type":22},"Skynet","threat_actor",{"name":24,"type":25},"AI","technology","89f78b1c-3503-45a1-9fc7-e23d2ce1c6d5",{"id":26,"icon":28,"name":29,"slug":30},null,"Malware","malware",[32,37,39],{"category":33},{"id":34,"icon":28,"name":35,"slug":36},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":38},{"id":26,"icon":28,"name":29,"slug":30},{"category":40},{"id":41,"icon":28,"name":42,"slug":43},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18],{"controls":47,"vendors":134},[48,77,106],{"slug":49,"name":50,"problem":51,"products":52},"vulnerability-management","Vulnerability scanning and prioritisation","You know which systems are vulnerable, and which ones to fix first.",[53,61,69],{"vendor_slug":54,"vendor_name":55,"vendor_logo":56,"product_slug":57,"product_name":58,"url":59,"description":60},"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":62,"vendor_name":63,"vendor_logo":64,"product_slug":65,"product_name":66,"url":67,"description":68},"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.",{"vendor_slug":70,"vendor_name":71,"vendor_logo":72,"product_slug":73,"product_name":74,"url":75,"description":76},"qualys","Qualys","\u002Fvendor-logos\u002Fqualys.png","vmdr","Qualys VMDR","https:\u002F\u002Fwww.qualys.com\u002Fapps\u002Fvulnerability-management-detection-response\u002F","Vulnerability management, detection and response with risk-based prioritisation.",{"slug":78,"name":79,"problem":80,"products":81},"deception","Deception and honeypots","An attacker who gets in quietly can explore the network for weeks before any alarm goes off.",[82,90,98],{"vendor_slug":83,"vendor_name":84,"vendor_logo":85,"product_slug":86,"product_name":87,"url":88,"description":89},"thinkst-canary","Thinkst Canary","\u002Fvendor-logos\u002Fthinkst-canary.png","canarytokens","Canarytokens","https:\u002F\u002Fcanarytokens.org\u002F","Free tripwires, such as fake documents, cloud keys, web links and DNS names, that notify you when an attacker opens or uses them.",{"vendor_slug":91,"vendor_name":92,"vendor_logo":93,"product_slug":94,"product_name":95,"url":96,"description":97},"zscaler","Zscaler","\u002Fvendor-logos\u002Fzscaler.png","zscaler-deception","Zscaler Deception","https:\u002F\u002Fwww.zscaler.com\u002Fproducts-and-solutions\u002Fdeception-technology","Decoys built into the Zscaler platform that turn any attacker interaction into a confirmed alert.",{"vendor_slug":99,"vendor_name":100,"vendor_logo":101,"product_slug":102,"product_name":103,"url":104,"description":105},"acalvio","Acalvio","\u002Fvendor-logos\u002Facalvio.png","shadowplex-identity-protection","ShadowPlex Identity Protection","https:\u002F\u002Fwww.acalvio.com\u002Fproducts\u002Fidentity-protection\u002F","Decoy accounts and credentials that expose identity attacks and credential misuse early.",{"slug":36,"name":107,"problem":108,"products":109},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[110,118,126],{"vendor_slug":111,"vendor_name":112,"vendor_logo":113,"product_slug":114,"product_name":115,"url":116,"description":117},"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":119,"vendor_name":120,"vendor_logo":121,"product_slug":122,"product_name":123,"url":124,"description":125},"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.",{"vendor_slug":127,"vendor_name":128,"vendor_logo":129,"product_slug":130,"product_name":131,"url":132,"description":133},"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.",[],{"slug":136,"title":137,"body":138,"framework_refs":139,"framework_notes":147},"autonomous-ai-agent-skynet-mode-hijacks-exposed-models-for-mass-attacks","Autonomous AI Agent 'Skynet Mode' Hijacks Exposed Models for Mass Attacks","Threat actors have built an autonomous AI attack agent capable of executing up to 100,000 steps without human oversight, targeting improperly secured and publicly exposed AI models. The root problem lies in misconfigured or insufficiently protected AI infrastructure that allows external actors to hijack these models as attack proxies. Once compromised, these models can be weaponized to steal databases, harvest credentials, execute remote code, and mine cryptocurrency — all without raising immediate alarms. This matters because AI systems introduce a new class of attack surface that many organizations have not yet integrated into their security posture. Failing to lock down AI model endpoints and monitor their behavior could turn your own infrastructure into an attacker's tool.",[140,141,142,143,144,145,146],"CIS Control 4: Secure Configuration of Enterprise Assets and Software","CIS Control 6: Access Control Management","NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control","NIST SP 800-53 SI-2: Flaw Remediation","ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities","MITRE ATT&CK T1566: Phishing","NIS2 Article 21(2)(b)",{"NIS2 Article 21(2)(b)":148,"MITRE ATT&CK T1566: Phishing":149,"NIST SP 800-53 SI-2: Flaw Remediation":150,"CIS Control 6: Access Control Management":151,"ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities":152,"CIS Control 4: Secure Configuration of Enterprise Assets and Software":153,"NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control":154},"NIS2 mandates incident handling and security measures for network and information systems; organizations deploying AI models must include them in scope for risk management and incident response obligations.","Autonomous agents may use social-engineering or prompt-injection techniques analogous to phishing to manipulate AI models into executing malicious instructions, making staff and system awareness critical.","Timely identification and remediation of misconfigured or insecure AI model deployments would have closed the exposure window exploited by the autonomous attack agent.","The agent was able to hijack AI models because they lacked proper access controls; enforcing least-privilege and strong authentication on model endpoints would have blocked initial access.","A systematic process for identifying and remediating technical weaknesses in AI infrastructure would have surfaced the dangerous exposure of model endpoints before attackers could exploit it.","Exposed AI models with default or permissive configurations were the primary attack surface; enforcing secure baseline configurations would have prevented unauthorized hijacking.","Requiring robust identity verification before any AI model accepts instructions would have prevented the autonomous agent from commandeering exposed instances."]