[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fANtcR4lQDBPEEHXbeb-9NtGdxHllQdluAirTpopFs34":3},{"article":4,"iocs":48,"watch_terms":49,"solutions":50,"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":25,"category":26,"article_tags":30},"c492c44c-041a-4cb1-9b9a-a1c81ec08076","How to secure edge AI in customer-owned environments","how-to-secure-edge-ai-in-customer-owned-environments-9b30a9","As AI moves into customer-owned environments, organizations need new ways to verify the systems, software, and AI assets they trust before releasing sensitive data, credentials, and models. The post How to secure edge AI in customer-owned environments appeared first on Microsoft Security Blog.","Edge AI shifts AI model execution and data processing to customer-owned infrastructure, necessitating new security paradigms. Organizations must now verify the trustworthiness of these environments, including hardware, software, and AI models, before releasing sensitive data and credentials. This involves attesting runtimes, verifying AI artifacts through provenance, constraining model actions, and binding assets only to trusted environments, especially in disconnected deployments.","Edge AI requires new security measures for customer-owned environments to verify systems and AI assets.","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fblog\u002F2026\u002F09\u002F04\u002Fsecure-edge-ai-customer-owned-environments\u002F","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fblog\u002Fwp-content\u002Fuploads\u002F2026\u002F07\u002FMS_Actional-Insights_Lock.jpg","2026-09-04T19:10:10+00:00","2026-09-04T22:00:18.879277+00:00",7,[17,20,23],{"name":18,"type":19},"Microsoft Security Copilot","product",{"name":21,"type":22},"Edge AI","technology",{"name":24,"type":22},"prompt injection","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":25,"icon":27,"name":28,"slug":29},null,"AI Security","ai-security",[31,33,38,43],{"category":32},{"id":25,"icon":27,"name":28,"slug":29},{"category":34},{"id":35,"icon":27,"name":36,"slug":37},"c5c77cdb-f7d7-4990-9436-c81dcbff1163","Policy","policy",{"category":39},{"id":40,"icon":27,"name":41,"slug":42},"c70f3a41-2f0c-4608-870d-b8cbcd8be076","Cloud Security","cloud-security",{"category":44},{"id":45,"icon":27,"name":46,"slug":47},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18],{"controls":51,"vendors":134},[52,80,109],{"slug":53,"name":54,"problem":55,"products":56},"asset-inventory","Cyber asset inventory","You cannot patch, monitor or protect the devices, cloud resources and accounts you do not know you have.",[57,64,72],{"vendor_slug":58,"vendor_name":59,"vendor_logo":60,"product_slug":61,"product_name":59,"url":62,"description":63},"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":65,"vendor_name":66,"vendor_logo":67,"product_slug":68,"product_name":69,"url":70,"description":71},"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.",{"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-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.",{"slug":81,"name":82,"problem":83,"products":84},"encryption-key-management","Encryption and key management","Stolen data stays unreadable, and the keys stay under your control.",[85,93,101],{"vendor_slug":86,"vendor_name":87,"vendor_logo":88,"product_slug":89,"product_name":90,"url":91,"description":92},"hashicorp","HashiCorp","\u002Fvendor-logos\u002Fhashicorp.png","vault","HashiCorp Vault","https:\u002F\u002Fwww.hashicorp.com\u002Fen\u002Fproducts\u002Fvault","Secrets management with short-lived credentials and encryption as a service.",{"vendor_slug":94,"vendor_name":95,"vendor_logo":96,"product_slug":97,"product_name":98,"url":99,"description":100},"utimaco","Utimaco","\u002Fvendor-logos\u002Futimaco.png","utimaco-hsm","Utimaco General Purpose HSM","https:\u002F\u002Futimaco.com\u002Fdata-protection\u002Fgp-hsm","Hardware security modules for key generation, storage and cryptographic operations.",{"vendor_slug":102,"vendor_name":103,"vendor_logo":104,"product_slug":105,"product_name":106,"url":107,"description":108},"thales","Thales","\u002Fvendor-logos\u002Fthales.png","luna-hsm","Thales Luna HSM","https:\u002F\u002Fcpl.thalesgroup.com\u002Fencryption\u002Fhardware-security-modules","Hardware security modules for protecting cryptographic keys.",{"slug":29,"name":110,"problem":111,"products":112},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[113,121,129],{"vendor_slug":114,"vendor_name":115,"vendor_logo":116,"product_slug":117,"product_name":118,"url":119,"description":120},"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":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":114,"vendor_name":115,"vendor_logo":116,"product_slug":130,"product_name":131,"url":132,"description":133},"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":152},"securing-edge-ai-in-customer-owned-environments-requires-zero-trust-verification","Securing Edge AI in Customer-Owned Environments Requires Zero-Trust Verification","As AI workloads shift to customer-owned edge infrastructure, organizations lose direct control over the hardware and software environments where sensitive models and data are processed. Without rigorous attestation of runtimes and verification of AI artifact provenance, malicious or compromised environments can intercept credentials, exfiltrate training data, or tamper with model outputs. The distributed and often disconnected nature of edge deployments amplifies risk, since traditional perimeter-based security controls are ineffective. Trusting an unverified endpoint with sensitive AI assets is equivalent to handing credentials to an unknown third party. Organizations must adopt a 'never trust, always verify' posture that extends all the way down to hardware-level attestation.",[140,141,142,143,144,145,146,147,148,149,150,151],"NIST SP 800-207 (Zero Trust Architecture)","NIST AI RMF 1.0 – Govern, Map, Measure, Manage","NIST SP 800-155 (BIOS Integrity Measurement)","CIS Control 1 – Inventory and Control of Enterprise Assets","CIS Control 3 – Data Protection","CIS Control 16 – Application Software Security","NIST SP 800-53 AC-3 (Access Enforcement)","NIST SP 800-53 SI-7 (Software, Firmware, and Information Integrity)","NIST SP 800-53 SA-12 (Supply Chain Protection)","GDPR Article 25 – Data Protection by Design and by Default","SLSA Supply Chain Levels for Software Artifacts (Provenance Framework)","ISO\u002FIEC 42001 – AI Management System",{}]