[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fx-vezh4wFZ9sUthMXCYiNsPMAtsaPjMlcjfitKmqShw":3},{"article":4,"iocs":54,"watch_terms":55,"solutions":56,"lesson":87},{"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},"b97bcbb8-cd83-4876-b57a-e93061995ef3","As AI world debates security, NVIDIA releases open source tools for agents","as-ai-world-debates-security-nvidia-releases-open-source-tools-for-agents-84eef4","One expert told CyberScoop that the announcement reflects industry recognition that after years of training models to behave safely or ethically, more outside controls are needed. The post As AI world debates security, NVIDIA releases open source tools for agents appeared first on CyberScoop.","NVIDIA has launched the Open Agent Safety Platform, an open-source initiative aimed at enhancing the security of AI agents. The platform offers tools like OpenShell for secure sandbox testing and out-of-band monitoring to restrict agent behavior. This move comes as the industry grapples with concerns about AI-driven cyberattacks and the limitations of solely relying on model training for safety.","NVIDIA releases open source AI agent security platform amid growing concerns.","https:\u002F\u002Fcyberscoop.com\u002Fnvidia-open-agent-safety-platform\u002F","https:\u002F\u002Fcyberscoop.com\u002Fwp-content\u002Fuploads\u002Fsites\u002F3\u002F2026\u002F09\u002FJensen-Huang.jpeg","2026-09-28T18:22:53+00:00","2026-09-28T20:00:45.582768+00:00",7,[17,20,22,24,27,29],{"name":18,"type":19},"Open Agent Safety Platform","product",{"name":21,"type":19},"OpenShell",{"name":23,"type":19},"Bluefield 4",{"name":25,"type":26},"NVIDIA","vendor",{"name":28,"type":26},"Microsoft",{"name":30,"type":26},"Anthropic","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},"c5c77cdb-f7d7-4990-9436-c81dcbff1163","Policy","policy",[],[28,25,30],{"controls":57,"vendors":86},[58],{"slug":35,"name":59,"problem":60,"products":61},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[62,70,78],{"vendor_slug":63,"vendor_name":64,"vendor_logo":65,"product_slug":66,"product_name":67,"url":68,"description":69},"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":71,"vendor_name":72,"vendor_logo":73,"product_slug":74,"product_name":75,"url":76,"description":77},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","boomi-ai-gateway","Boomi AI Gateway","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fai-gateway\u002F","Gateway for AI model and MCP tool traffic, built on Lunar.dev technology. It limits which tools each agent can call. Its enterprise version adds an approval step for new MCP servers and logs each call with the user or agent behind it.",{"vendor_slug":79,"vendor_name":80,"vendor_logo":81,"product_slug":82,"product_name":83,"url":84,"description":85},"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.",[],{"slug":88,"title":89,"body":90,"framework_refs":91,"framework_notes":101},"nvidia-launches-open-source-safety-platform-for-ai-agents","NVIDIA Launches Open-Source Safety Platform for AI Agents","As AI agents become more capable and autonomous, the security community is recognizing that model training alone is insufficient to prevent misuse or unintended harmful behavior. NVIDIA's Open Agent Safety Platform highlights a critical gap: organizations deploying AI agents often lack the runtime controls, sandboxing, and monitoring necessary to constrain agent actions within safe boundaries. Without these guardrails, AI agents can be manipulated into executing malicious commands, exfiltrating data, or becoming vectors for cyberattacks. This matters because AI agent adoption is accelerating faster than the security frameworks designed to govern them, leaving enterprises exposed to novel, hard-to-detect threats.",[92,93,94,95,96,97,98,99,100],"NIST AI RMF (AI Risk Management Framework) - Govern 1.1","NIST SP 800-53 SI-7 (Software, Firmware, and Information Integrity)","NIST SP 800-53 AC-6 (Least Privilege)","CIS Control 2: Inventory and Control of Software Assets","CIS Control 8: Audit Log Management","CIS Control 16: Application Software Security","OWASP Top 10 for LLM Applications - LLM01 (Prompt Injection)","ISO\u002FIEC 42001 (AI Management System Standard)","NIST SP 800-53 CA-8 (Penetration Testing)",{}]