[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ffn8sFc5H5R8xFlxV6qELZaEmMFlqPxIdn4Bg73IKGAw":3},{"article":4,"iocs":48,"watch_terms":52,"solutions":53,"lesson":138},{"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":30,"category":31,"article_tags":35},"bafb868b-ccd2-4653-a6a4-fe0d194e765f","Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It","heimdal-survey-executives-four-times-more-confident-about-ai-risk-than-the-teams-ea22e5","London, United Kingdom, 17th June 2026, CyberNewswire","A new survey by Heimdal highlights a significant disconnect between executive confidence and practitioner reality regarding AI risk. While 29% of US executives believe AI risk is under control, only 7% of the IT professionals managing it day-to-day agree. This gap is mirrored in the UK, with AI adoption outpacing security controls by a two-to-one ratio across both regions.","Heimdal survey reveals executives are four times more confident about AI risk than practitioners.","https:\u002F\u002Fhackread.com\u002Fheimdal-survey-executives-four-times-more-confident-about-ai-risk-than-the-teams-managing-it\u002F","https:\u002F\u002Fhackread.com\u002Fwp-content\u002Fuploads\u002F2026\u002F06\u002FPR_Communicat_-_AI_Risk_Management_Report_1781617772Ho43XezgAG.jpg","2026-06-17T12:22:49+00:00","2026-06-17T14:00:15.146001+00:00",7,[17,20,23,25,28],{"name":18,"type":19},"Heimdal","vendor",{"name":21,"type":22},"ChatGPT","product",{"name":24,"type":22},"Microsoft Copilot",{"name":26,"type":27},"AI","technology",{"name":29,"type":19},"CISA","839da5c1-3c34-47e2-9499-f7201640e3ac",{"id":30,"icon":32,"name":33,"slug":34},null,"AI Security","ai-security",[36,38,43],{"category":37},{"id":30,"icon":32,"name":33,"slug":34},{"category":39},{"id":40,"icon":32,"name":41,"slug":42},"c5c77cdb-f7d7-4990-9436-c81dcbff1163","Policy","policy",{"category":44},{"id":45,"icon":32,"name":46,"slug":47},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[49],{"type":50,"value":21,"context":51},"malware","Publicly used by CISA director for uploading sensitive documents.",[18,29,21],{"controls":54,"vendors":137},[55,84,112],{"slug":56,"name":57,"problem":58,"products":59},"data-loss-prevention","Data loss prevention (DLP)","Sensitive data cannot quietly leave by email, upload, USB stick or AI tool.",[60,68,76],{"vendor_slug":61,"vendor_name":62,"vendor_logo":63,"product_slug":64,"product_name":65,"url":66,"description":67},"forcepoint","Forcepoint","\u002Fvendor-logos\u002Fforcepoint.png","forcepoint-dlp","Forcepoint DLP","https:\u002F\u002Fwww.forcepoint.com\u002Fproduct\u002Fdlp-data-loss-prevention","Data loss prevention for endpoints, network, email and cloud applications.",{"vendor_slug":69,"vendor_name":70,"vendor_logo":71,"product_slug":72,"product_name":73,"url":74,"description":75},"netskope","Netskope","\u002Fvendor-logos\u002Fnetskope.png","netskope-dlp","Netskope DLP","https:\u002F\u002Fwww.netskope.com\u002Fproducts\u002Fdata-loss-prevention","Data loss prevention for web, cloud apps, AI tools and endpoints.",{"vendor_slug":77,"vendor_name":78,"vendor_logo":79,"product_slug":80,"product_name":81,"url":82,"description":83},"microsoft","Microsoft","\u002Fvendor-logos\u002Fmicrosoft.png","purview-dlp","Microsoft Purview Data Loss Prevention","https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fbusiness\u002Fdata-security-governance\u002Fmicrosoft-purview-data-security","Data classification and loss prevention across Microsoft 365, endpoints and connected cloud apps.",{"slug":34,"name":85,"problem":86,"products":87},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[88,96,104],{"vendor_slug":89,"vendor_name":90,"vendor_logo":91,"product_slug":92,"product_name":93,"url":94,"description":95},"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":97,"vendor_name":98,"vendor_logo":99,"product_slug":100,"product_name":101,"url":102,"description":103},"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":105,"vendor_name":106,"vendor_logo":107,"product_slug":108,"product_name":109,"url":110,"description":111},"cisco","Cisco","\u002Fvendor-logos\u002Fcisco.png","ai-defense","Cisco AI Defense","https:\u002F\u002Fwww.cisco.com\u002Fsite\u002Fus\u002Fen\u002Fproducts\u002Fsecurity\u002Fai-defense\u002Findex.html","Discovery of AI use, testing of models and guardrails for AI applications.",{"slug":113,"name":114,"problem":115,"products":116},"security-awareness-training","Security awareness training and phishing simulation","People recognise and report attacks instead of falling for them.",[117,124,131],{"vendor_slug":118,"vendor_name":119,"vendor_logo":120,"product_slug":118,"product_name":121,"url":122,"description":123},"sosafe","SoSafe","\u002Fvendor-logos\u002Fsosafe.png","SoSafe Awareness Platform","https:\u002F\u002Fsosafe-awareness.com\u002F","Behaviour-based awareness training and phishing simulation in many languages.",{"vendor_slug":125,"vendor_name":126,"vendor_logo":127,"product_slug":113,"product_name":128,"url":129,"description":130},"knowbe4","KnowBe4","\u002Fvendor-logos\u002Fknowbe4.png","KnowBe4 Security Awareness Training","https:\u002F\u002Fwww.knowbe4.com\u002Fproducts\u002Fsecurity-awareness-training","Training library and simulated phishing with reporting.",{"vendor_slug":132,"vendor_name":133,"vendor_logo":134,"product_slug":132,"product_name":133,"url":135,"description":136},"hoxhunt","Hoxhunt","\u002Fvendor-logos\u002Fhoxhunt.png","https:\u002F\u002Fhoxhunt.com\u002F","Adaptive phishing simulations and micro-training, with a focus on reporting.",[],{"slug":139,"title":140,"body":141,"framework_refs":142,"framework_notes":150},"executive-overconfidence-creates-blind-spots-in-ai-risk-management","Executive Overconfidence Creates Blind Spots in AI Risk Management","A significant perception gap exists between executives and the IT practitioners actually managing AI risk, with executives four times more likely to believe AI risks are under control. This disconnect is dangerous because strategic decisions about AI adoption and security investment are made at the executive level, while the operational reality is far more precarious. When leadership underestimates risk, security teams are underfunded, under-resourced, and unheard. Compounding this, AI adoption is outpacing security controls at a two-to-one ratio, meaning new attack surfaces are being created faster than defenses can be established. Closing this gap requires honest, data-driven communication between security teams and leadership before an incident forces the conversation.",[143,144,145,146,147,148,149],"NIST AI RMF (AI Risk Management Framework) – Govern 1.1, 1.2","CIS Control 17 – Security Awareness and Skills Training","NIST SP 800-53 PM-9 – Risk Management Strategy","ISO\u002FIEC 42001 – AI Management System Standard","NIST CSF 2.0 – GV.RR (Roles, Responsibilities, and Authorities)","GDPR Article 32 – Security of Processing (accountability for risk assessment)","ITIL 4 – Risk Management Practice",{}]