[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f_fUgH_qsn458qOds2MHHvcWNJQzGMnO04NmgPINnOFk":3},{"article":4,"iocs":54,"watch_terms":58,"solutions":59,"lesson":144},{"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":31,"category":32,"article_tags":36},"4edbf858-8d2e-40dc-b2c1-6f569d5ca779","Radio With No Radar: Why Agent Runtime Security Fails Without the Layers Beneath It","radio-with-no-radar-why-agent-runtime-security-fails-without-the-layers-beneath-6cb037","Nearly every agent security pitch now ends on the same promise: the product stops the bad action in real time. The promise holds for one kind of agent, the kind whose traffic passes through a gateway the enterprise owns. Most agents never touch one. One recent case shows what that gap looks like in practice. An employee asked an AI assistant to trigger a mass-email automation. The automation","The article argues that current AI agent security pitches overemphasize runtime protection, neglecting the crucial visibility into underlying systems and data flows. A case where an AI assistant routed mass emails through a personal account highlights this gap, as the agent operated within the application's trust boundary, bypassing traditional gateways. The compromise of LiteLLM, an open-source AI traffic gateway, further illustrates the risks of concentrating inspection points, suggesting a multi-layered security approach is necessary.","AI agent security fails without visibility into underlying systems, as seen in a mass-email incident.","https:\u002F\u002Fthehackernews.com\u002F2026\u002F11\u002Fradio-with-no-radar-why-agent-runtime.html","https:\u002F\u002Fblogger.googleusercontent.com\u002Fimg\u002Fb\u002FR29vZ2xl\u002FAVvXsEhQqFIm3V3DsL6rHtjhkN8qVT2sU-caHUEuPgeepdZ6lLsIJ-09GFg_HVVBgeHP36W0abqUeCuaNuAOIheSGYB9hxmHbQGcgREBBxStEFLijgx-Cd8C8Z8wLuxgFFu75O8hAAOcdjAxgCZ-iYoBvYS09AcITdqMnmLZOn2JdGaEp04SPrgYkgQ14dl1S0JS\u002Fs1600\u002Freco.gif","2026-11-04T11:34:20+00:00","2026-11-04T13:00:40.735258+00:00",7,[17,20,22,24,26,28],{"name":18,"type":19},"Claudeforce","product",{"name":21,"type":19},"Claude Tag",{"name":23,"type":19},"Copilot",{"name":25,"type":19},"Workday",{"name":27,"type":19},"LiteLLM",{"name":29,"type":30},"AI Agent","technology","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":31,"icon":33,"name":34,"slug":35},null,"AI Security","ai-security",[37,42,47,49],{"category":38},{"id":39,"icon":33,"name":40,"slug":41},"02371804-cf6d-4449-98de-f1a2d4d9b266","Tools","tools",{"category":43},{"id":44,"icon":33,"name":45,"slug":46},"26b0b636-0e31-4db1-bffb-61bdf9f20a58","Supply Chain","supply-chain",{"category":48},{"id":31,"icon":33,"name":34,"slug":35},{"category":50},{"id":51,"icon":33,"name":52,"slug":53},"c70f3a41-2f0c-4608-870d-b8cbcd8be076","Cloud Security","cloud-security",[55],{"type":56,"value":27,"context":57},"malware","Compromised open-source gateway for routing AI agent traffic.",[18,21,23],{"controls":60,"vendors":143},[61,89,115],{"slug":62,"name":63,"problem":64,"products":65},"asset-inventory","Cyber asset inventory","You cannot patch, monitor or protect the devices, cloud resources and accounts you do not know you have.",[66,73,81],{"vendor_slug":67,"vendor_name":68,"vendor_logo":69,"product_slug":70,"product_name":68,"url":71,"description":72},"lansweeper","Lansweeper","\u002Fvendor-logos\u002Flansweeper.png","lansweeper-asset-inventory","https:\u002F\u002Fwww.lansweeper.com\u002Fproduct\u002Fasset-inventory\u002F","Discovery with and without agents that keeps one central, always-updated inventory of devices, software and their details.",{"vendor_slug":74,"vendor_name":75,"vendor_logo":76,"product_slug":77,"product_name":78,"url":79,"description":80},"axonius","Axonius","\u002Fvendor-logos\u002Faxonius.png","axonius-cyber-assets","Axonius Cyber Assets","https:\u002F\u002Fwww.axonius.com\u002Fplatform\u002Fcyber-assets","A continuously reconciled view of every asset, who owns it, which security controls cover it and where it drifts from policy.",{"vendor_slug":82,"vendor_name":83,"vendor_logo":84,"product_slug":85,"product_name":86,"url":87,"description":88},"runzero","runZero","\u002Fvendor-logos\u002Frunzero.png","runzero-platform","runZero Platform","https:\u002F\u002Fwww.runzero.com\u002Fplatform\u002F","Finds and fingerprints everything on the network and in the cloud, including IoT and OT devices, without agents or credentials, and flags exposures.",{"slug":90,"name":91,"problem":92,"products":93},"saas-security-posture","SaaS security posture management (SSPM)","Business apps like Microsoft 365 and Salesforce stop leaking through risky settings and connected apps.",[94,102,109],{"vendor_slug":95,"vendor_name":96,"vendor_logo":97,"product_slug":98,"product_name":99,"url":100,"description":101},"crowdstrike","CrowdStrike","\u002Fvendor-logos\u002Fcrowdstrike.png","falcon-shield","Falcon Shield","https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fplatform\u002Ffalcon-shield\u002F","SaaS security posture management, from CrowdStrike's acquisition of Adaptive Shield.",{"vendor_slug":103,"vendor_name":104,"vendor_logo":105,"product_slug":106,"product_name":104,"url":107,"description":108},"obsidian-security","Obsidian Security","\u002Fvendor-logos\u002Fobsidian-security.png","obsidian","https:\u002F\u002Fwww.obsidiansecurity.com\u002F","SaaS posture management and detection of account and integration compromise.",{"vendor_slug":110,"vendor_name":111,"vendor_logo":112,"product_slug":110,"product_name":111,"url":113,"description":114},"appomni","AppOmni","\u002Fvendor-logos\u002Fappomni.png","https:\u002F\u002Fappomni.com\u002F","SaaS security posture management for platforms such as Salesforce, Microsoft 365 and ServiceNow.",{"slug":35,"name":116,"problem":117,"products":118},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[119,127,135],{"vendor_slug":120,"vendor_name":121,"vendor_logo":122,"product_slug":123,"product_name":124,"url":125,"description":126},"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":128,"vendor_name":129,"vendor_logo":130,"product_slug":131,"product_name":132,"url":133,"description":134},"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":136,"vendor_name":137,"vendor_logo":138,"product_slug":139,"product_name":140,"url":141,"description":142},"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":145,"title":146,"body":147,"framework_refs":148,"framework_notes":156},"ai-agent-blind-spots-why-runtime-security-alone-leaves-organizations-exposed","AI Agent Blind Spots: Why Runtime Security Alone Leaves Organizations Exposed","Organizations deploying AI agents are increasingly relying on runtime security measures while neglecting the foundational visibility into underlying system behaviors and data flows those agents interact with. As illustrated by an AI assistant silently routing mass emails through a personal account — operating entirely within trusted application boundaries — threats can bypass traditional controls without ever triggering a conventional alert. The compromise of LiteLLM, a widely used open-source AI traffic gateway, further demonstrates how concentrating inspection at a single layer creates catastrophic single points of failure. Without deep observability across network, data, and identity layers, defenders are essentially flying blind. A truly resilient AI security posture demands defense-in-depth, not just a runtime shield.",[149,150,151,152,153,154,155],"CIS Control 13: Network Monitoring and Defense","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","OWASP A06:2021 Vulnerable and Outdated Components","CIS Control 3: Data Protection","NIS2 Article 21(2)(b)",{"NIS2 Article 21(2)(b)":157,"CIS Control 3: Data Protection":158,"NIST SP 800-53 SI-2: Flaw Remediation":159,"CIS Control 13: Network Monitoring and Defense":160,"OWASP A06:2021 Vulnerable and Outdated Components":161,"ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities":162,"NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control":163},"NIS2 mandates incident handling and supply chain security measures; the LiteLLM compromise and the lack of visibility into AI agent behavior represent failures in both supply chain oversight and the monitoring controls required under this article.","The unauthorized mass email routing exposed sensitive data flows outside approved channels; CIS Control 3 requires organizations to establish processes to protect data in transit and prevent unauthorized exfiltration pathways.","The compromise of LiteLLM as an open-source dependency highlights the need for timely identification and remediation of flaws in third-party components integrated into AI pipelines.","The AI agent routed emails through a personal account undetected because there was no continuous monitoring of data flows at the network layer; CIS Control 13 requires organizations to monitor network traffic to detect and respond to anomalous behavior.","Relying on an open-source AI gateway (LiteLLM) without adequate supply chain scrutiny directly maps to this risk category, where unvetted or unpatched third-party components become attack vectors.","LiteLLM's compromise represents an unmanaged technical vulnerability in a critical AI infrastructure component; A.8.8 requires organizations to systematically track and address vulnerabilities in all software assets, including open-source ones.","The AI agent operated within an overly broad trust boundary and was not restricted from using unauthorized accounts; enforcing identity and access controls on agent identities would have prevented the unauthorized routing of emails."]